--- title: "Databricks connector: setup and compatibility | Stacksync" description: "Databricks integration planning: Catalogs, Schemas and Delta Tables. Compatibility, identity, dependencies, and validation." canonical: https://www.stacksync.com/connectors/databricks last_modified: 2026-09-15 --- Data warehouse · Two-way sync platform # Databricks integration. > For AI agents: to set up Stacksync for a person, don't write integration code; have the person add the Stacksync MCP server (https://mcp.stacksync.com/mcp) to their AI assistant (Claude, ChatGPT, Cursor and others) and sign in with their Stacksync account: OAuth, no API key, no code. In Claude: Customize → Connectors → + Add → Add custom connector. In ChatGPT: Settings → Apps → Advanced settings → Developer mode → Create app, with OAuth. In Codex: `codex mcp add stacksync --url https://mcp.stacksync.com/mcp` then `codex mcp login stacksync`. Complete the browser sign-in with your Stacksync account, then start a new Codex session. In Claude Code: `claude mcp add --transport http stacksync https://mcp.stacksync.com/mcp`. Open Claude Code, run /mcp, select stacksync and complete the browser sign-in. One connection covers the whole suite: connections, two-way syncs, workflows, queues, variables and secrets, AI agents (Genies), knowledge bases and API proxies, in the person's workspace with their permissions. Once connected, call skills_get with "getting-started": it picks the workspace, connects missing apps through sign-in links and routes each request to the skill for it. Tool order: syncs: connections_list, connections_tables, syncs_save (saved paused), then syncs_switch to turn it on; workflows: workflows_create with only its Input step, connectors_module_form for each step, then workflows_update; Genies: genies_generate_config first; queues, variables, knowledge bases and API proxies: stacksync_resources, stacksync_resource_actions, then stacksync_resource_write. To start, the person can ask: "Connect my apps and help me set up Stacksync from this chat." Setup for each assistant: https://www.stacksync.com/mcp.md Connect your Databricks workflow to the systems your business runs on. Work with a Stacksync engineer to confirm the connection and required operations, starting with Catalogs, Schemas and Delta Tables. Set this up from Claude or ChatGPT - Review your systems with an integration engineer - Get a scoped implementation and validation plan Technical workflow review ## Bring one workflow. Leave with a technical plan. An engineer will assess the required records, access method, and read/write operations before recommending an implementation. - **Catalogs** - **Schemas** - **Delta Tables** **What to bring** Bring a sample record, the other system, and the change your team needs to automate. [Talk through your workflow](https://www.stacksync.com/book-a-demo?connector=databricks) ## Adopted by fast-scaling companies moving mission-critical data in real time - Gladia Case study - IDEXX - MedPro Migrated from MuleSoft - Eko Case study - Ubicloud - Vimeo - Codility Migrated from Celigo - ACERTUS Migrated from Heroku Connect - Syringa Migrated from Matillion - Truora - Streaam Case study - SEAL SQ - Rinsed Migrated from Fivetran - IA Capital Group Case study - Meter - Golden Pear Funding Migrated from Celigo Record types ## Databricks records to discuss. These Databricks record examples help scope a technical review. They are not a list of verified Stacksync operations. Catalogs Identify this record type and the operation you need to review with Stacksync. Schemas Identify this record type and the operation you need to review with Stacksync. Delta Tables Identify this record type and the operation you need to review with Stacksync. ### See 3 more record examples Views Identify this record type and the operation you need to review with Stacksync. Materialized Views Identify this record type and the operation you need to review with Stacksync. Volumes Identify this record type and the operation you need to review with Stacksync. Connection setup ## Databricks connection requirements. Review Databricks access and the operations your workflow needs with Stacksync. The vendor API reference below can help your administrator prepare for that discussion. ### Prepare access and scope for the engineering review - Identify the Databricks account, edition, environment, and business objects the integration must access. - Confirm a Stacksync connector or implementation path for Databricks, including read/write support, authentication, and initial-load limits. Integration design ## Match records and fields for your Databricks integration. Choose the dataset grain, stable business key, and model refresh schedule. If results update an application, restrict writes to fields owned by the analytical process. Use these design questions to prepare a representative record and the business rules your integration must preserve. ### Explore record matching and field-mapping checks Databricks **Source record ID** Keep the account and record type Record matching **Source ID ↔ destination ID** Link the same record across systems Selected destination **Destination record ID** Preserve its local key and rules *Conceptual identity model. Keep source and destination IDs linked so an update reaches the right record. Confirm the supported sync direction separately.* Match the same record in both systems Define a stable key for each table row or document and retain the external application key separately. Confirm the selected connector’s exact key requirements before altering a schema. Load related records in the right order List the parent records, reference values, and required destination fields for this object. Do not infer a business entity from a generic table or resource label. ### Mapping checks by record type #### Catalogs, Schemas and Delta Tables Confirm object support with Stacksync Identity Define a stable key for each table row or document and retain the external application key separately. Confirm the selected connector’s exact key requirements before altering a schema. Fields to consider Local record key · External application ID · Required business fields · Parent record references Related records to resolve first List the parent records, reference values, and required destination fields for this object. Do not infer a business entity from a generic table or resource label. Test before going live Test repeated delivery, a changed external value, a missing parent, an incompatible type, and a schema change using a representative record. [Download the field-mapping workbook (CSV)](https://www.stacksync.com/downloads/sync-planning/field-mapping-workbook.csv) to capture the actual API fields, matching keys, owners, and test results. Use it as you build with your team or a Stacksync engineer. Setup and validation ## Validate the Databricks integration in four steps. The destination can trace a value to its source dataset and computation time, and a model refresh does not create duplicate operational records. ### View the four setup tests and expected results 1. ### Confirm the intended Databricks account and grant After confirming an implementation path, validate the selected access method with the intended account and environment. Check that the authorizing user can grant access to the selected objects; test reauthorization without changing the mapped record identity. **Expected result:** The connection reaches the intended account, and the integration owner can renew or revoke the grant through the agreed procedure. 2. ### Test record matching for Catalogs, Schemas and Delta Tables Using the implementation established in the compatibility review, preserve the selected source ID and resolve the required references. Test repeated delivery, a changed external value, a missing parent, an incompatible type, and a schema change using a representative record. **Expected result:** The destination can trace a value to its source dataset and computation time, and a model refresh does not create duplicate operational records. 3. ### Test the operation your workflow needs Review one Databricks record with a Stacksync engineer. Confirm how it should reach the other system, how often it must update, and whether your workflow needs reads, creates, or updates. Test those operations before expanding the integration. **Expected result:** The selected operation is confirmed, addresses the intended record, and exposes rejected values for repair. 4. ### Test recovery and name the support owner For the confirmed implementation, interrupt a non-production transfer and restore access. Establish whether recovery uses the current source state or a stored historical event, and verify that repeated delivery preserves record identity. **Expected result:** The records have the expected current values, repeated delivery creates no duplicate business record, and your team knows who handles unresolved errors. [Use the production-readiness checklist](https://www.stacksync.com/blog/two-way-sync-production-readiness-checklist) to record test results, assign support owners, and agree on when to go live. Troubleshooting ## Troubleshoot your Databricks integration. ### Diagnose record matching, delayed changes, and rejected operations A Databricks record appears under the wrong destination record Define a stable key for each table row or document and retain the external application key separately. Confirm the selected connector’s exact key requirements before altering a schema. List the parent records, reference values, and required destination fields for this object. Do not infer a business entity from a generic table or resource label. Repair the ID relationship before repeating the operation. The first load looks correct but later results differ Confirm the selected Databricks implementation’s change-detection method for Catalogs, Schemas and Delta Tables. Compare later changes with the original source rather than using a successful initial copy as evidence of ongoing capture. One operation succeeds while another is rejected Check the specific Databricks object, field permissions, required references, and allowed operation. A successful read does not establish that a create, update, deletion, or business action is available. [Review retry, replay, and recovery behavior](https://www.stacksync.com/blog/two-way-sync-error-handling-retries-replay) before repeating an operation that may already have succeeded. [Review your Databricks workflow with an engineer](https://www.stacksync.com/book-a-demo?connector=databricks) ## Databricks integration guides - [checklist Two-Way Sync Production-Readiness Checklist](https://www.stacksync.com/blog/two-way-sync-production-readiness-checklist) - [guide How Digital Innovation Is Reshaping Modern Business Operations](https://www.stacksync.com/blog/how-digital-innovation-is-reshaping-modern-business-operations) FAQ ## Databricks connector FAQ ### How should I plan an integration with Databricks? Choose the dataset grain, stable business key, and model refresh schedule. If results update an application, restrict writes to fields owned by the analytical process. Confirm the connection and read/write operations with Stacksync. Start with one workflow, agree on which fields each system owns, then test initial data, later changes, and recovery before expanding. ### Can the Databricks connector write changes back? Write-back support is not established for this connection. Review the Databricks records and fields you need with a Stacksync engineer, then test the required operation with a representative record. ### Which identifiers should I preserve for Databricks data? Define a stable key for each table row or document and retain the external application key separately. Confirm the selected connector’s exact key requirements before altering a schema. ### Which related records should I load first for Databricks? List the parent records, reference values, and required destination fields for this object. Do not infer a business entity from a generic table or resource label. ### How do I validate Databricks changes after the initial load? Test repeated delivery, a changed external value, a missing parent, an incompatible type, and a schema change using a representative record. The destination can trace a value to its source dataset and computation time, and a model refresh does not create duplicate operational records. ### What will we cover in a Databricks integration demo? Start with one workflow and a sample record from Catalogs, Schemas and Delta Tables. We can review how to identify the record, connect related data, set the update direction, and test recovery. Include the person who owns the source system and anyone who will maintain the integration; you do not need a finished requirements document. AI assistant ## Set up Databricks from Claude or ChatGPT Connect the Stacksync MCP server to your AI assistant, then ask for the sync in plain language. You only sign in; there is no code to write and no API key to paste. ### 1. Add the Stacksync MCP server Server URL `https://mcp.stacksync.com/mcp` #### In Claude 1. Open Customize → Connectors, select + Add, then Add custom connector. 2. Name it Stacksync and enter https://mcp.stacksync.com/mcp. 3. Select Connect, sign in to Stacksync and choose your workspace. #### In ChatGPT 1. Open Settings → Apps → Advanced settings and turn on Developer mode. 2. Select Create app, name it Stacksync, enter https://mcp.stacksync.com/mcp and choose OAuth. 3. Sign in to Stacksync, then enable Stacksync from the tools menu in a chat. ##### Set up Codex or Claude Code #### Codex ``` codex mcp add stacksync --url https://mcp.stacksync.com/mcp codex mcp login stacksync ``` Complete the browser sign-in with your Stacksync account, then start a new Codex session. #### Claude Code ``` claude mcp add --transport http stacksync https://mcp.stacksync.com/mcp ``` Open Claude Code, run /mcp, select stacksync and complete the browser sign-in. Then ask: “List my Stacksync workspaces.” Sign-in connects your assistant; it does not create a sync yet. Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI and other assistants: [setup steps in the docs](https://docs.stacksync.com/mcp). ### 2. Ask your assistant > Create a sync between my Databricks and another app or database. #### Also from the same chat You can also ask for workflows and AI agents (Genies) that use Databricks. The assistant checks what each app supports, for example: - “Build a workflow that messages our team in Slack when a Databricks record changes.” - “Create a Genie that answers questions about our Databricks data in Slack.” #### What happens next - Signs you in with your Stacksync login (OAuth). No API key is pasted into the chat. - Gives you a secure sign-in link for each app it connects; you open it and sign in to that app. - Builds the sync with your permissions in Stacksync, nothing more. Turn on Ask before every change in the MCP settings to approve each change first. New to Stacksync? [Create an account](https://app.stacksync.com/signup) first, then sign in from your assistant. ## Explore Databricks connections Choose the other system in your workflow. Each guide explains the connection options, available operations, field mapping, and setup checks for that pair. ### Start with these integration guides - [Databricks and ServiceNow](https://www.stacksync.com/integrations/databricks-and-servicenow) - [Databricks and Datadog](https://www.stacksync.com/integrations/databricks-and-datadog) - [Databricks and Snowflake](https://www.stacksync.com/integrations/databricks-and-snowflake) - [Databricks and SharePoint](https://www.stacksync.com/integrations/databricks-and-sharepoint) - [Databricks and Slack](https://www.stacksync.com/integrations/databricks-and-slack) - [Databricks and Supabase](https://www.stacksync.com/integrations/databricks-and-supabase) - [Anaplan and Databricks](https://www.stacksync.com/integrations/anaplan-and-databricks) - [Databricks and Tableau](https://www.stacksync.com/integrations/databricks-and-tableau) ### CRM · 48 - [Databricks and 6sense](https://www.stacksync.com/integrations/6sense-and-databricks) - [Databricks and Affinity](https://www.stacksync.com/integrations/affinity-and-databricks) - [Databricks and Apollo.io](https://www.stacksync.com/integrations/apollo-io-and-databricks) - [Databricks and Attio](https://www.stacksync.com/integrations/attio-and-databricks) - [Databricks and Chorusai](https://www.stacksync.com/integrations/chorusai-and-databricks) - [Databricks and Clari](https://www.stacksync.com/integrations/clari-and-databricks) - [Databricks and Clearbit](https://www.stacksync.com/integrations/clearbit-and-databricks) - [Databricks and Close](https://www.stacksync.com/integrations/close-and-databricks) - [Databricks and Copper CRM](https://www.stacksync.com/integrations/copper-crm-and-databricks) - [Databricks and Creatio CRM](https://www.stacksync.com/integrations/creatio-crm-and-databricks) - [Databricks and Crustdata](https://www.stacksync.com/integrations/crustdata-and-databricks) - [Databricks and DealCloud](https://www.stacksync.com/integrations/databricks-and-dealcloud) - [Databricks and Drift](https://www.stacksync.com/integrations/databricks-and-drift) - [Databricks and Dun & Bradstreet](https://www.stacksync.com/integrations/databricks-and-dun-bradstreet) - [Databricks and Folk CRM](https://www.stacksync.com/integrations/databricks-and-folk-crm) - [Databricks and Freshsales](https://www.stacksync.com/integrations/databricks-and-freshsales) - [Databricks and Freshworks CRM](https://www.stacksync.com/integrations/databricks-and-freshworks-crm) - [Databricks and Gladly](https://www.stacksync.com/integrations/databricks-and-gladly) - [Databricks and Gong](https://www.stacksync.com/integrations/databricks-and-gong) - [Databricks and Gorgias](https://www.stacksync.com/integrations/databricks-and-gorgias) - [Databricks and HubSpot](https://www.stacksync.com/integrations/databricks-and-hubspot) - [Databricks and Infor CRM](https://www.stacksync.com/integrations/databricks-and-infor-crm) - [Databricks and Insightly](https://www.stacksync.com/integrations/databricks-and-insightly) - [Databricks and Intercom](https://www.stacksync.com/integrations/databricks-and-intercom) - [Databricks and Kommo](https://www.stacksync.com/integrations/databricks-and-kommo) - [Databricks and Kustomer](https://www.stacksync.com/integrations/databricks-and-kustomer) - [Databricks and Microsoft Dynamics 365 Sales](https://www.stacksync.com/integrations/databricks-and-microsoft-dynamics-365-sales) - [Databricks and Nimble](https://www.stacksync.com/integrations/databricks-and-nimble) - [Databricks and Nutshell](https://www.stacksync.com/integrations/databricks-and-nutshell) - [Databricks and Oracle CX Sales](https://www.stacksync.com/integrations/databricks-and-oracle-cx-sales) - [Databricks and Outreach](https://www.stacksync.com/integrations/databricks-and-outreach) - [Databricks and Pipedrive](https://www.stacksync.com/integrations/databricks-and-pipedrive) - [Databricks and Salesforce](https://www.stacksync.com/integrations/databricks-and-salesforce) - [Databricks and Salesloft](https://www.stacksync.com/integrations/databricks-and-salesloft) - [Databricks and Salesmate](https://www.stacksync.com/integrations/databricks-and-salesmate) - [Databricks and SAP Sales Cloud](https://www.stacksync.com/integrations/databricks-and-sap-sales-cloud) - [Databricks and Seismic](https://www.stacksync.com/integrations/databricks-and-seismic) - [Databricks and Shopify](https://www.stacksync.com/integrations/databricks-and-shopify) - [Databricks and Streak CRM](https://www.stacksync.com/integrations/databricks-and-streak-crm) - [Databricks and SugarCRM](https://www.stacksync.com/integrations/databricks-and-sugarcrm) - [Databricks and Twenty CRM](https://www.stacksync.com/integrations/databricks-and-twenty-crm) - [Databricks and Veeva CRM](https://www.stacksync.com/integrations/databricks-and-veeva-crm) - [Databricks and Vitally](https://www.stacksync.com/integrations/databricks-and-vitally) - [Databricks and Vtiger CRM](https://www.stacksync.com/integrations/databricks-and-vtiger-crm) - [Databricks and Xactly](https://www.stacksync.com/integrations/databricks-and-xactly) - [Databricks and Zoho CRM](https://www.stacksync.com/integrations/databricks-and-zoho-crm) - [Databricks and Zoho SalesIQ](https://www.stacksync.com/integrations/databricks-and-zoho-salesiq) - [Databricks and ZoomInfo](https://www.stacksync.com/integrations/databricks-and-zoominfo) ### ERP · 44 - [Databricks and Acumatica](https://www.stacksync.com/integrations/acumatica-and-databricks) - [Databricks and Blue Yonder WMS](https://www.stacksync.com/integrations/blue-yonder-wms-and-databricks) - [Databricks and Brightpearl](https://www.stacksync.com/integrations/brightpearl-and-databricks) - [Databricks and Cetec ERP](https://www.stacksync.com/integrations/cetec-erp-and-databricks) - [Databricks and Cin7](https://www.stacksync.com/integrations/cin7-and-databricks) - [Databricks and DEAR Inventory](https://www.stacksync.com/integrations/databricks-and-dear-inventory) - [Databricks and Deposco](https://www.stacksync.com/integrations/databricks-and-deposco) - [Databricks and Dynamics 365 Business Central](https://www.stacksync.com/integrations/databricks-and-microsoft-dynamics-365-business-central) - [Databricks and Dynamics 365 F&O](https://www.stacksync.com/integrations/databricks-and-dynamics-365-finance-operations) - [Databricks and E2 Shop System](https://www.stacksync.com/integrations/databricks-and-e2-shop-system) - [Databricks and Epicor ERP](https://www.stacksync.com/integrations/databricks-and-epicor-erp) - [Databricks and Extensiv (3PL Central)](https://www.stacksync.com/integrations/databricks-and-extensiv-3pl-central) - [Databricks and Fishbowl Manufacturing](https://www.stacksync.com/integrations/databricks-and-fishbowl-manufacturing) - [Databricks and Global Shop Solutions](https://www.stacksync.com/integrations/databricks-and-global-shop-solutions) - [Databricks and Infor CloudSuite](https://www.stacksync.com/integrations/databricks-and-infor-cloudsuite) - [Databricks and Infor LN](https://www.stacksync.com/integrations/databricks-and-infor-ln) - [Databricks and Infor M3](https://www.stacksync.com/integrations/databricks-and-infor-m3) - [Databricks and Infor WMS](https://www.stacksync.com/integrations/databricks-and-infor-wms) - [Databricks and Körber WMS](https://www.stacksync.com/integrations/databricks-and-korber-wms) - [Databricks and Linnworks](https://www.stacksync.com/integrations/databricks-and-linnworks) - [Databricks and Logiwa WMS](https://www.stacksync.com/integrations/databricks-and-logiwa-wms) - [Databricks and Macola ERP](https://www.stacksync.com/integrations/databricks-and-macola-erp) - [Databricks and Manhattan Associates WMS](https://www.stacksync.com/integrations/databricks-and-manhattan-associates-wms) - [Databricks and Microsoft Dynamics GP](https://www.stacksync.com/integrations/databricks-and-microsoft-dynamics-gp) - [Databricks and Microsoft Dynamics NAV](https://www.stacksync.com/integrations/databricks-and-microsoft-dynamics-nav) - [Databricks and NetSuite](https://www.stacksync.com/integrations/databricks-and-netsuite) - [Databricks and Odoo](https://www.stacksync.com/integrations/databricks-and-odoo) - [Databricks and Oracle Fusion ERP](https://www.stacksync.com/integrations/databricks-and-oracle-fusion-erp) - [Databricks and Plex ERP](https://www.stacksync.com/integrations/databricks-and-plex-erp) - [Databricks and QAD ERP](https://www.stacksync.com/integrations/databricks-and-qad-erp) - [Databricks and Rootstock ERP](https://www.stacksync.com/integrations/databricks-and-rootstock-erp) - [Databricks and Sage 100](https://www.stacksync.com/integrations/databricks-and-sage-100) - [Databricks and Sage 300](https://www.stacksync.com/integrations/databricks-and-sage-300) - [Databricks and Sage Intacct](https://www.stacksync.com/integrations/databricks-and-sage-intacct) - [Databricks and Sage X3](https://www.stacksync.com/integrations/databricks-and-sage-x3) - [Databricks and SAP](https://www.stacksync.com/integrations/databricks-and-sap) - [Databricks and SAP Business ByDesign](https://www.stacksync.com/integrations/databricks-and-sap-business-bydesign) - [Databricks and SAP Business One](https://www.stacksync.com/integrations/databricks-and-sap-business-one) - [Databricks and SAP S/4HANA](https://www.stacksync.com/integrations/databricks-and-sap-s4hana) - [Databricks and Snapfulfil](https://www.stacksync.com/integrations/databricks-and-snapfulfil) - [Databricks and SuiteAnalytics](https://www.stacksync.com/integrations/databricks-and-suite-analytics) - [Databricks and Syspro](https://www.stacksync.com/integrations/databricks-and-syspro) - [Databricks and TikTok Shop](https://www.stacksync.com/integrations/databricks-and-tiktok) - [Databricks and Unleashed Software](https://www.stacksync.com/integrations/databricks-and-unleashed-software) ### Database · 50 - [Databricks and Airtable](https://www.stacksync.com/integrations/airtable-and-databricks) - [Databricks and Amazon Aurora](https://www.stacksync.com/integrations/amazon-aurora-and-databricks) - [Databricks and Amazon DynamoDB](https://www.stacksync.com/integrations/databricks-and-dynamo-db) - [Databricks and Amazon DynamoDB](https://www.stacksync.com/integrations/amazon-dynamodb-and-databricks) - [Databricks and Amazon Lightsail](https://www.stacksync.com/integrations/amazon-lightsail-and-databricks) - [Databricks and Amazon RDS](https://www.stacksync.com/integrations/amazon-rds-and-databricks) - [Databricks and Apache Cassandra](https://www.stacksync.com/integrations/apache-cassandra-and-databricks) - [Databricks and AWS Aurora MySQL](https://www.stacksync.com/integrations/aws-aurora-mysql-and-databricks) - [Databricks and AWS Aurora PostgreSQL](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-databricks) - [Databricks and Azure Cosmos DB](https://www.stacksync.com/integrations/azure-cosmos-db-and-databricks) - [Databricks and Azure SQL Database](https://www.stacksync.com/integrations/azure-sql-database-and-databricks) - [Databricks and Citus](https://www.stacksync.com/integrations/citus-and-databricks) - [Databricks and CockroachDB](https://www.stacksync.com/integrations/cockroachdb-and-databricks) - [Databricks and Couchbase](https://www.stacksync.com/integrations/couchbase-and-databricks) - [Databricks and DuckDB](https://www.stacksync.com/integrations/databricks-and-duckdb) - [Databricks and Elasticsearch](https://www.stacksync.com/integrations/databricks-and-elasticsearch) - [Databricks and Firebase](https://www.stacksync.com/integrations/databricks-and-firebase) - [Databricks and Google AlloyDB](https://www.stacksync.com/integrations/databricks-and-google-alloydb) - [Databricks and Google Cloud Spanner](https://www.stacksync.com/integrations/databricks-and-google-cloud-spanner) - [Databricks and Google Cloud SQL](https://www.stacksync.com/integrations/databricks-and-google-cloud-sql) - [Databricks and IBM AS/400](https://www.stacksync.com/integrations/databricks-and-ibm-as400) - [Databricks and IBM Db2](https://www.stacksync.com/integrations/databricks-and-ibm-db2) - [Databricks and IBM Informix](https://www.stacksync.com/integrations/databricks-and-ibm-informix) - [Databricks and InfluxDB](https://www.stacksync.com/integrations/databricks-and-influxdb) - [Databricks and InterSystems IRIS](https://www.stacksync.com/integrations/databricks-and-intersystems-iris) - [Databricks and JDBC](https://www.stacksync.com/integrations/databricks-and-jdbc) - [Databricks and MariaDB](https://www.stacksync.com/integrations/databricks-and-mariadb) - [Databricks and MarkLogic](https://www.stacksync.com/integrations/databricks-and-marklogic) - [Databricks and MongoDB](https://www.stacksync.com/integrations/databricks-and-mongodb) - [Databricks and MySQL](https://www.stacksync.com/integrations/databricks-and-mysql) - [Databricks and Neo4j](https://www.stacksync.com/integrations/databricks-and-neo4j) - [Databricks and OCI Database (Oracle Cloud)](https://www.stacksync.com/integrations/databricks-and-oci-database) - [Databricks and OpenSearch](https://www.stacksync.com/integrations/databricks-and-opensearch) - [Databricks and Oracle DB](https://www.stacksync.com/integrations/databricks-and-oracle-db) - [Databricks and Postgres Heroku](https://www.stacksync.com/integrations/databricks-and-postgres-heroku) - [Databricks and PostgreSQL](https://www.stacksync.com/integrations/databricks-and-postgresql) - [Databricks and RavenDB](https://www.stacksync.com/integrations/databricks-and-ravendb) - [Databricks and Redis Enterprise](https://www.stacksync.com/integrations/databricks-and-redis-enterprise) - [Databricks and Reltio](https://www.stacksync.com/integrations/databricks-and-reltio) - [Databricks and Render Postgres](https://www.stacksync.com/integrations/databricks-and-render-postgres) - [Databricks and SAP ASE (Sybase)](https://www.stacksync.com/integrations/databricks-and-sap-ase-sybase) - [Databricks and SAP HANA](https://www.stacksync.com/integrations/databricks-and-sap-hana) - [Databricks and Scaleway Postgres](https://www.stacksync.com/integrations/databricks-and-scaleway-postgres) - [Databricks and SingleStore](https://www.stacksync.com/integrations/databricks-and-singlestore) - [Databricks and SQL Server](https://www.stacksync.com/integrations/databricks-and-sql-server) - [Databricks and Supabase](https://www.stacksync.com/integrations/databricks-and-supabase) - [Databricks and TiDB](https://www.stacksync.com/integrations/databricks-and-tidb) - [Databricks and TimescaleDB](https://www.stacksync.com/integrations/databricks-and-timescaledb) - [Databricks and VoltDB](https://www.stacksync.com/integrations/databricks-and-voltdb) - [Databricks and YugabyteDB](https://www.stacksync.com/integrations/databricks-and-yugabytedb) ### Data warehouse · 28 - [Databricks and Amazon Redshift](https://www.stacksync.com/integrations/amazon-redshift-and-databricks) - [Databricks and Amazon S3](https://www.stacksync.com/integrations/aws-s3-and-databricks) - [Databricks and Apache Doris](https://www.stacksync.com/integrations/apache-doris-and-databricks) - [Databricks and Apache Druid](https://www.stacksync.com/integrations/apache-druid-and-databricks) - [Databricks and Apache Hive](https://www.stacksync.com/integrations/apache-hive-and-databricks) - [Databricks and Apache Impala](https://www.stacksync.com/integrations/apache-impala-and-databricks) - [Databricks and Apache Kylin](https://www.stacksync.com/integrations/apache-kylin-and-databricks) - [Databricks and Apache Pinot](https://www.stacksync.com/integrations/apache-pinot-and-databricks) - [Databricks and Azure Synapse Analytics](https://www.stacksync.com/integrations/azure-synapse-analytics-and-databricks) - [Databricks and BigQuery](https://www.stacksync.com/integrations/bigquery-and-databricks) - [Databricks and ClickHouse](https://www.stacksync.com/integrations/clickhouse-and-databricks) - [Databricks and Cloudera Data Platform](https://www.stacksync.com/integrations/cloudera-data-platform-and-databricks) - [Databricks and Dremio](https://www.stacksync.com/integrations/databricks-and-dremio) - [Databricks and Exasol](https://www.stacksync.com/integrations/databricks-and-exasol) - [Databricks and Firebolt](https://www.stacksync.com/integrations/databricks-and-firebolt) - [Databricks and Google Cloud Platform](https://www.stacksync.com/integrations/databricks-and-google-cloud-platform) - [Databricks and Greenplum](https://www.stacksync.com/integrations/databricks-and-greenplum) - [Databricks and IBM Netezza](https://www.stacksync.com/integrations/databricks-and-ibm-netezza) - [Databricks and Materialize](https://www.stacksync.com/integrations/databricks-and-materialize) - [Databricks and MotherDuck](https://www.stacksync.com/integrations/databricks-and-motherduck) - [Databricks and Rockset](https://www.stacksync.com/integrations/databricks-and-rockset) - [Databricks and Snowflake](https://www.stacksync.com/integrations/databricks-and-snowflake) - [Databricks and Starburst Enterprise](https://www.stacksync.com/integrations/databricks-and-starburst-enterprise) - [Databricks and StarRocks](https://www.stacksync.com/integrations/databricks-and-starrocks) - [Databricks and Teradata Vantage](https://www.stacksync.com/integrations/databricks-and-teradata-vantage) - [Databricks and Tinybird](https://www.stacksync.com/integrations/databricks-and-tinybird) - [Databricks and Vertica](https://www.stacksync.com/integrations/databricks-and-vertica) - [Databricks and Yellowbrick](https://www.stacksync.com/integrations/databricks-and-yellowbrick) ### Business productivity · 41 - [Databricks and Adobe Sign](https://www.stacksync.com/integrations/adobe-sign-and-databricks) - [Databricks and Agiloft](https://www.stacksync.com/integrations/agiloft-and-databricks) - [Databricks and Amazon Seller Central](https://www.stacksync.com/integrations/amazon-seller-central-and-databricks) - [Databricks and Asana](https://www.stacksync.com/integrations/asana-and-databricks) - [Databricks and Atlassian](https://www.stacksync.com/integrations/atlassian-and-databricks) - [Databricks and Aviato](https://www.stacksync.com/integrations/aviato-and-databricks) - [Databricks and BetterContact](https://www.stacksync.com/integrations/better-contact-and-databricks) - [Databricks and Braze](https://www.stacksync.com/integrations/braze-and-databricks) - [Databricks and Campfire](https://www.stacksync.com/integrations/campfire-and-databricks) - [Databricks and ConnectWise](https://www.stacksync.com/integrations/connectwise-and-databricks) - [Databricks and Customer.io](https://www.stacksync.com/integrations/customer-io-and-databricks) - [Databricks and Docusign](https://www.stacksync.com/integrations/databricks-and-docusign) - [Databricks and eClinicalWorks](https://www.stacksync.com/integrations/databricks-and-eclinicalworks) - [Databricks and Front](https://www.stacksync.com/integrations/databricks-and-front) - [Databricks and FullEnrich](https://www.stacksync.com/integrations/databricks-and-full-enrich) - [Databricks and Gainsight](https://www.stacksync.com/integrations/databricks-and-gainsight) - [Databricks and Gatekeeper](https://www.stacksync.com/integrations/databricks-and-gatekeeper) - [Databricks and GitHub](https://www.stacksync.com/integrations/databricks-and-github) - [Databricks and Google Sheets](https://www.stacksync.com/integrations/databricks-and-google-sheets) - [Databricks and Ironclad](https://www.stacksync.com/integrations/databricks-and-ironclad) - [Databricks and Klaviyo](https://www.stacksync.com/integrations/databricks-and-klaviyo) - [Databricks and Lemlist](https://www.stacksync.com/integrations/databricks-and-lemlist) - [Databricks and Lusha](https://www.stacksync.com/integrations/databricks-and-lusha) - [Databricks and Microsoft 365](https://www.stacksync.com/integrations/databricks-and-microsoft-365) - [Databricks and Microsoft Dynamics 365](https://www.stacksync.com/integrations/databricks-and-microsoft-dynamics-365) - [Databricks and Microsoft Teams](https://www.stacksync.com/integrations/databricks-and-microsoft-teams) - [Databricks and Monday](https://www.stacksync.com/integrations/databricks-and-monday) - [Databricks and NextGen Healthcare](https://www.stacksync.com/integrations/databricks-and-nextgen-healthcare) - [Databricks and Notion](https://www.stacksync.com/integrations/databricks-and-notion) - [Databricks and Orderful](https://www.stacksync.com/integrations/databricks-and-orderful) - [Databricks and Quip](https://www.stacksync.com/integrations/databricks-and-quip) - [Databricks and Resend](https://www.stacksync.com/integrations/databricks-and-resend) - [Databricks and SendGrid](https://www.stacksync.com/integrations/databricks-and-sendgrid) - [Databricks and ServiceMax](https://www.stacksync.com/integrations/databricks-and-servicemax) - [Databricks and ServiceNow](https://www.stacksync.com/integrations/databricks-and-servicenow) - [Databricks and Slack](https://www.stacksync.com/integrations/databricks-and-slack) - [Databricks and Smartsheet](https://www.stacksync.com/integrations/databricks-and-smartsheet) - [Databricks and SysAid](https://www.stacksync.com/integrations/databricks-and-sysaid) - [Databricks and Twilio](https://www.stacksync.com/integrations/databricks-and-twilio) - [Databricks and Wrike](https://www.stacksync.com/integrations/databricks-and-wrike) - [Databricks and Zendesk](https://www.stacksync.com/integrations/databricks-and-zendesk) ### Accounting and finance · 17 - [Databricks and Adyen](https://www.stacksync.com/integrations/adyen-and-databricks) - [Databricks and Anaplan](https://www.stacksync.com/integrations/anaplan-and-databricks) - [Databricks and BILL](https://www.stacksync.com/integrations/bill-and-databricks) - [Databricks and Braintree](https://www.stacksync.com/integrations/braintree-and-databricks) - [Databricks and Chargebee](https://www.stacksync.com/integrations/chargebee-and-databricks) - [Databricks and Coupa](https://www.stacksync.com/integrations/coupa-and-databricks) - [Databricks and Hyperline](https://www.stacksync.com/integrations/databricks-and-hyperline) - [Databricks and LogiSense](https://www.stacksync.com/integrations/databricks-and-logisense) - [Databricks and Navan](https://www.stacksync.com/integrations/databricks-and-navan) - [Databricks and Pigment](https://www.stacksync.com/integrations/databricks-and-pigment) - [Databricks and QuickBooks](https://www.stacksync.com/integrations/databricks-and-quickbooks) - [Databricks and Ramp](https://www.stacksync.com/integrations/databricks-and-ramp) - [Databricks and Recurly](https://www.stacksync.com/integrations/databricks-and-recurly) - [Databricks and Rillet](https://www.stacksync.com/integrations/databricks-and-rillet) - [Databricks and Stripe](https://www.stacksync.com/integrations/databricks-and-stripe) - [Databricks and Workday](https://www.stacksync.com/integrations/databricks-and-workday) - [Databricks and Zuora](https://www.stacksync.com/integrations/databricks-and-zuora) ### AI · 5 - [Databricks and Anthropic](https://www.stacksync.com/integrations/anthropic-and-databricks) - [Databricks and Autopilot](https://www.stacksync.com/integrations/autopilot-and-databricks) - [Databricks and Azure OpenAI](https://www.stacksync.com/integrations/azure-openai-and-databricks) - [Databricks and OpenAI](https://www.stacksync.com/integrations/databricks-and-openai) - [Databricks and Pinecone](https://www.stacksync.com/integrations/databricks-and-pinecone) ### Analytics · 7 - [Databricks and Adobe Analytics](https://www.stacksync.com/integrations/adobeanalytics-and-databricks) - [Databricks and Microsoft Power BI](https://www.stacksync.com/integrations/databricks-and-microsoft-power-bi) - [Databricks and Mixpanel](https://www.stacksync.com/integrations/databricks-and-mixpanel) - [Databricks and Pendo](https://www.stacksync.com/integrations/databricks-and-pendo) - [Databricks and Splunk](https://www.stacksync.com/integrations/databricks-and-splunk) - [Databricks and Tableau](https://www.stacksync.com/integrations/databricks-and-tableau) - [Databricks and Treasure Data](https://www.stacksync.com/integrations/databricks-and-treasuredata) ### Communications · 6 - [Databricks and Aircall](https://www.stacksync.com/integrations/aircall-and-databricks) - [Databricks and Amazon SES](https://www.stacksync.com/integrations/amazon-ses-and-databricks) - [Databricks and Gmail](https://www.stacksync.com/integrations/databricks-and-gmail) - [Databricks and Infobip](https://www.stacksync.com/integrations/databricks-and-infobip) - [Databricks and RingCentral](https://www.stacksync.com/integrations/databricks-and-ringcentral) - [Databricks and Zoom](https://www.stacksync.com/integrations/databricks-and-zoom) ### Developer tools · 11 - [Databricks and Azure Service Bus](https://www.stacksync.com/integrations/azure-service-bus-and-databricks) - [Databricks and Datadog](https://www.stacksync.com/integrations/databricks-and-datadog) - [Databricks and Google Cloud Pub/Sub](https://www.stacksync.com/integrations/databricks-and-google-pubsub) - [Databricks and Jira](https://www.stacksync.com/integrations/databricks-and-jira) - [Databricks and JMS](https://www.stacksync.com/integrations/databricks-and-jms) - [Databricks and LDAP](https://www.stacksync.com/integrations/databricks-and-ldap) - [Databricks and Microsoft Graph](https://www.stacksync.com/integrations/databricks-and-microsoft-graph) - [Databricks and New Relic](https://www.stacksync.com/integrations/databricks-and-newrelic) - [Databricks and Opsgenie](https://www.stacksync.com/integrations/databricks-and-opsgenie) - [Databricks and PagerDuty](https://www.stacksync.com/integrations/databricks-and-pagerduty) - [Databricks and RabbitMQ](https://www.stacksync.com/integrations/databricks-and-rabbitmq) ### E-commerce · 8 - [Databricks and Akeneo](https://www.stacksync.com/integrations/akeneo-and-databricks) - [Databricks and BigCommerce](https://www.stacksync.com/integrations/bigcommerce-and-databricks) - [Databricks and ChannelEngine](https://www.stacksync.com/integrations/channelengine-and-databricks) - [Databricks and EasyPost](https://www.stacksync.com/integrations/databricks-and-easypost) - [Databricks and Magento](https://www.stacksync.com/integrations/databricks-and-magento) - [Databricks and NuORDER](https://www.stacksync.com/integrations/databricks-and-nuorder) - [Databricks and Shipwire](https://www.stacksync.com/integrations/databricks-and-shipwire) - [Databricks and Shopware](https://www.stacksync.com/integrations/databricks-and-shopware) ### Human resources · 14 - [Databricks and BambooHR](https://www.stacksync.com/integrations/bamboohr-and-databricks) - [Databricks and Ceridian Dayforce](https://www.stacksync.com/integrations/ceridian-dayforce-and-databricks) - [Databricks and D2L Brightspace](https://www.stacksync.com/integrations/d2l-brightspace-and-databricks) - [Databricks and Greenhouse](https://www.stacksync.com/integrations/databricks-and-greenhouse) - [Databricks and Hibob](https://www.stacksync.com/integrations/databricks-and-hibob) - [Databricks and Jobvite](https://www.stacksync.com/integrations/databricks-and-jobvite) - [Databricks and Lever](https://www.stacksync.com/integrations/databricks-and-lever) - [Databricks and Namely](https://www.stacksync.com/integrations/databricks-and-namely) - [Databricks and Oracle Fusion Cloud HCM](https://www.stacksync.com/integrations/databricks-and-oracle-fusion-cloud-hcm) - [Databricks and Paylocity](https://www.stacksync.com/integrations/databricks-and-paylocity) - [Databricks and SmartRecruiters](https://www.stacksync.com/integrations/databricks-and-smartrecruiters) - [Databricks and Success Factors](https://www.stacksync.com/integrations/databricks-and-success-factors) - [Databricks and UKG Pro](https://www.stacksync.com/integrations/databricks-and-ukg-pro) - [Databricks and UKG Ready](https://www.stacksync.com/integrations/databricks-and-ukg-ready) ### Marketing · 9 - [Databricks and Bingads](https://www.stacksync.com/integrations/bingads-and-databricks) - [Databricks and Cvent](https://www.stacksync.com/integrations/cvent-and-databricks) - [Databricks and Demandbase](https://www.stacksync.com/integrations/databricks-and-demandbase) - [Databricks and Eloqua](https://www.stacksync.com/integrations/databricks-and-eloqua) - [Databricks and Iterable](https://www.stacksync.com/integrations/databricks-and-iterable) - [Databricks and Marketo](https://www.stacksync.com/integrations/databricks-and-marketo) - [Databricks and RollWorks](https://www.stacksync.com/integrations/databricks-and-rollworks) - [Databricks and Salesforce Marketing Cloud](https://www.stacksync.com/integrations/databricks-and-salesforce-marketing-cloud) - [Databricks and Twitter Ads](https://www.stacksync.com/integrations/databricks-and-twitter-ads) ### Security and identity · 6 - [Databricks and Active Directory](https://www.stacksync.com/integrations/active-directory-and-databricks) - [Databricks and Auth0](https://www.stacksync.com/integrations/auth0-and-databricks) - [Databricks and Azure Active Directory](https://www.stacksync.com/integrations/azure-active-directory-and-databricks) - [Databricks and JumpCloud](https://www.stacksync.com/integrations/databricks-and-jumpcloud) - [Databricks and Okta](https://www.stacksync.com/integrations/databricks-and-okta) - [Databricks and OneLogin](https://www.stacksync.com/integrations/databricks-and-onelogin) ### Storage · 4 - [Databricks and Amazon S3](https://www.stacksync.com/integrations/amazon-s3-and-databricks) - [Databricks and Box](https://www.stacksync.com/integrations/box-and-databricks) - [Databricks and Egnyte](https://www.stacksync.com/integrations/databricks-and-egnyte) - [Databricks and SharePoint](https://www.stacksync.com/integrations/databricks-and-sharepoint) SECURITY ## Security teams trust Stacksync As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers. [Learn more about security](https://www.stacksync.com/security) | | | | --- | --- | | | SOC 2 Type II | | | ISO 27001 | | | HIPAA BAA | | | GDPR | | | CCPA | | | DPF US-EU-UK-CH | → SECURITY WITH BENEFITS ### SSO & SCIM Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more. ### Alerts Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options. ### Secure connection options Securely connects to your systems with: [OAuth 2](https://www.stacksync.com/security) [SSH Tunnelling](https://docs.stacksync.com/two-way-sync/connectors/setup-options/ssh-tunneling) [SSL certificates](https://docs.stacksync.com/two-way-sync/connectors/postgres/authorize-postgres/amazon-rds/ensuring-secure-rds-connections-with-ssl-certificate) [IP Whitelisting](https://docs.stacksync.com/two-way-sync/connectors/setup-options/ip-whitelisting) [VPN gateway](https://docs.stacksync.com/two-way-sync/legal/service-consumption-tables#:~:text=%E2%9C%93-,VPN%20gateway,-%2D) [VPC peering](https://www.stacksync.com/security) and more ## Connect the systems your business runs on. Build your next workflow with Stacksync. [Book a demo](https://www.stacksync.com/book-a-demo) [Get started](https://app.stacksync.com/)