--- title: "JDBC connector: setup and compatibility | Stacksync" description: "JDBC integration planning: Tables, Views and Columns. Compatibility, identity, dependencies, and validation." canonical: https://www.stacksync.com/connectors/jdbc last_modified: 2026-09-15 --- Database · Two-way sync platform # JDBC integration. Connect your JDBC workflow to the systems your business runs on. Work with a Stacksync engineer to confirm the connection and required operations, starting with Tables, Views and Columns. - 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. - **Tables** - **Views** - **Columns** **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=jdbc) ## 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 ## JDBC records to discuss. These JDBC record examples help scope a technical review. They are not a list of verified Stacksync operations. Tables Identify this record type and the operation you need to review with Stacksync. Views Identify this record type and the operation you need to review with Stacksync. Columns Identify this record type and the operation you need to review with Stacksync. ### See 3 more record examples Primary keys & indexes Identify this record type and the operation you need to review with Stacksync. Schemas & catalogs Identify this record type and the operation you need to review with Stacksync. Stored procedures & functions Identify this record type and the operation you need to review with Stacksync. Connection setup ## JDBC connection requirements. Review JDBC 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 JDBC account, edition, environment, and business objects the integration must access. - Confirm a Stacksync connector or implementation path for JDBC, including read/write support, authentication, and initial-load limits. Integration design ## Match records and fields for your JDBC integration. Define the row/document key, external application identity, required types, and relationship model. Decide how nested values, nulls, schema changes, and deleted parents appear in the other system. Use these design questions to prepare a representative record and the business rules your integration must preserve. ### Explore record matching and field-mapping checks JDBC **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 #### Tables, Views and Columns 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 JDBC integration in four steps. Repeated delivery reaches one intended record; related data remains addressable and incompatible values produce an observable failure. ### View the four setup tests and expected results 1. ### Verify JDBC connectivity and database privileges After confirming an implementation path, validate the selected access method from the integration network to the intended host, database, and schema. Have the administrator demonstrate the permissions required for both the first read and later change capture. **Expected result:** The approved role can access the selected data and capture later changes without depending on an administrator’s personal session. 2. ### Test record matching for Tables, Views and Columns 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:** Repeated delivery reaches one intended record; related data remains addressable and incompatible values produce an observable failure. 3. ### Test the operation your workflow needs Review one JDBC 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 JDBC integration. ### Diagnose record matching, delayed changes, and rejected operations A JDBC 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 JDBC implementation’s change-detection method for Tables, Views and Columns. 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 JDBC 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 JDBC workflow with an engineer](https://www.stacksync.com/book-a-demo?connector=jdbc) ## JDBC integration guides - [checklist Two-Way Sync Production-Readiness Checklist](https://www.stacksync.com/blog/two-way-sync-production-readiness-checklist) - [guide Two-Way Sync Field Mapping Workbook](https://www.stacksync.com/blog/two-way-sync-field-mapping-workbook) FAQ ## JDBC connector FAQ ### How should I plan an integration with JDBC? Define the row/document key, external application identity, required types, and relationship model. Decide how nested values, nulls, schema changes, and deleted parents appear in the other system. 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 JDBC connector write changes back? Write-back support is not established for this connection. Review the JDBC records and fields you need with a Stacksync engineer, then test the required operation with a representative record. ### Which identifiers should I preserve for JDBC 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 JDBC? 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 JDBC 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. Repeated delivery reaches one intended record; related data remains addressable and incompatible values produce an observable failure. ### What will we cover in a JDBC integration demo? Start with one workflow and a sample record from Tables, Views and Columns. 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. ## Explore JDBC 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 - [JDBC and MySQL](https://www.stacksync.com/integrations/jdbc-and-mysql) - [JDBC and Microsoft Power BI](https://www.stacksync.com/integrations/jdbc-and-microsoft-power-bi) - [JDBC and PostgreSQL](https://www.stacksync.com/integrations/jdbc-and-postgresql) - [ClickHouse and JDBC](https://www.stacksync.com/integrations/clickhouse-and-jdbc) - [Databricks and JDBC](https://www.stacksync.com/integrations/databricks-and-jdbc) - [JDBC and SQL Server](https://www.stacksync.com/integrations/jdbc-and-sql-server) - [JDBC and ServiceNow](https://www.stacksync.com/integrations/jdbc-and-servicenow) - [Amazon S3 and JDBC](https://www.stacksync.com/integrations/aws-s3-and-jdbc) ### CRM · 31 - [JDBC and 6sense](https://www.stacksync.com/integrations/6sense-and-jdbc) - [JDBC and Affinity](https://www.stacksync.com/integrations/affinity-and-jdbc) - [JDBC and Attio](https://www.stacksync.com/integrations/attio-and-jdbc) - [JDBC and Chorusai](https://www.stacksync.com/integrations/chorusai-and-jdbc) - [JDBC and Clearbit](https://www.stacksync.com/integrations/clearbit-and-jdbc) - [JDBC and Close](https://www.stacksync.com/integrations/close-and-jdbc) - [JDBC and Copper CRM](https://www.stacksync.com/integrations/copper-crm-and-jdbc) - [JDBC and Dun & Bradstreet](https://www.stacksync.com/integrations/dun-bradstreet-and-jdbc) - [JDBC and Freshsales](https://www.stacksync.com/integrations/freshsales-and-jdbc) - [JDBC and Freshworks CRM](https://www.stacksync.com/integrations/freshworks-crm-and-jdbc) - [JDBC and Gong](https://www.stacksync.com/integrations/gong-and-jdbc) - [JDBC and Gorgias](https://www.stacksync.com/integrations/gorgias-and-jdbc) - [JDBC and HubSpot](https://www.stacksync.com/integrations/hubspot-and-jdbc) - [JDBC and Infor CRM](https://www.stacksync.com/integrations/infor-crm-and-jdbc) - [JDBC and Insightly](https://www.stacksync.com/integrations/insightly-and-jdbc) - [JDBC and Intercom](https://www.stacksync.com/integrations/intercom-and-jdbc) - [JDBC and Kommo](https://www.stacksync.com/integrations/jdbc-and-kommo) - [JDBC and Outreach](https://www.stacksync.com/integrations/jdbc-and-outreach) - [JDBC and Pipedrive](https://www.stacksync.com/integrations/jdbc-and-pipedrive) - [JDBC and Salesforce](https://www.stacksync.com/integrations/jdbc-and-salesforce) - [JDBC and Salesloft](https://www.stacksync.com/integrations/jdbc-and-salesloft) - [JDBC and SAP Sales Cloud](https://www.stacksync.com/integrations/jdbc-and-sap-sales-cloud) - [JDBC and Seismic](https://www.stacksync.com/integrations/jdbc-and-seismic) - [JDBC and Shopify](https://www.stacksync.com/integrations/jdbc-and-shopify) - [JDBC and SugarCRM](https://www.stacksync.com/integrations/jdbc-and-sugarcrm) - [JDBC and Veeva CRM](https://www.stacksync.com/integrations/jdbc-and-veeva-crm) - [JDBC and Vtiger CRM](https://www.stacksync.com/integrations/jdbc-and-vtiger-crm) - [JDBC and Xactly](https://www.stacksync.com/integrations/jdbc-and-xactly) - [JDBC and Zoho CRM](https://www.stacksync.com/integrations/jdbc-and-zoho-crm) - [JDBC and Zoho SalesIQ](https://www.stacksync.com/integrations/jdbc-and-zoho-salesiq) - [JDBC and ZoomInfo](https://www.stacksync.com/integrations/jdbc-and-zoominfo) ### ERP · 24 - [JDBC and Acumatica](https://www.stacksync.com/integrations/acumatica-and-jdbc) - [JDBC and Brightpearl](https://www.stacksync.com/integrations/brightpearl-and-jdbc) - [JDBC and Cin7](https://www.stacksync.com/integrations/cin7-and-jdbc) - [JDBC and Dynamics 365 Business Central](https://www.stacksync.com/integrations/jdbc-and-microsoft-dynamics-365-business-central) - [JDBC and Epicor ERP](https://www.stacksync.com/integrations/epicor-erp-and-jdbc) - [JDBC and Infor LN](https://www.stacksync.com/integrations/infor-ln-and-jdbc) - [JDBC and Infor M3](https://www.stacksync.com/integrations/infor-m3-and-jdbc) - [JDBC and Linnworks](https://www.stacksync.com/integrations/jdbc-and-linnworks) - [JDBC and Microsoft Dynamics GP](https://www.stacksync.com/integrations/jdbc-and-microsoft-dynamics-gp) - [JDBC and Microsoft Dynamics NAV](https://www.stacksync.com/integrations/jdbc-and-microsoft-dynamics-nav) - [JDBC and NetSuite](https://www.stacksync.com/integrations/jdbc-and-netsuite) - [JDBC and Odoo](https://www.stacksync.com/integrations/jdbc-and-odoo) - [JDBC and Plex ERP](https://www.stacksync.com/integrations/jdbc-and-plex-erp) - [JDBC and QAD ERP](https://www.stacksync.com/integrations/jdbc-and-qad-erp) - [JDBC and Sage 100](https://www.stacksync.com/integrations/jdbc-and-sage-100) - [JDBC and Sage 300](https://www.stacksync.com/integrations/jdbc-and-sage-300) - [JDBC and Sage Intacct](https://www.stacksync.com/integrations/jdbc-and-sage-intacct) - [JDBC and Sage X3](https://www.stacksync.com/integrations/jdbc-and-sage-x3) - [JDBC and SAP](https://www.stacksync.com/integrations/jdbc-and-sap) - [JDBC and SAP Business ByDesign](https://www.stacksync.com/integrations/jdbc-and-sap-business-bydesign) - [JDBC and SAP Business One](https://www.stacksync.com/integrations/jdbc-and-sap-business-one) - [JDBC and SAP S/4HANA](https://www.stacksync.com/integrations/jdbc-and-sap-s4hana) - [JDBC and Syspro](https://www.stacksync.com/integrations/jdbc-and-syspro) - [JDBC and TikTok Shop](https://www.stacksync.com/integrations/jdbc-and-tiktok) ### Database · 12 - [JDBC and Airtable](https://www.stacksync.com/integrations/airtable-and-jdbc) - [JDBC and Amazon DynamoDB](https://www.stacksync.com/integrations/amazon-dynamodb-and-jdbc) - [JDBC and Elasticsearch](https://www.stacksync.com/integrations/elasticsearch-and-jdbc) - [JDBC and Firebase](https://www.stacksync.com/integrations/firebase-and-jdbc) - [JDBC and InfluxDB](https://www.stacksync.com/integrations/influxdb-and-jdbc) - [JDBC and MongoDB](https://www.stacksync.com/integrations/jdbc-and-mongodb) - [JDBC and MySQL](https://www.stacksync.com/integrations/jdbc-and-mysql) - [JDBC and Neo4j](https://www.stacksync.com/integrations/jdbc-and-neo4j) - [JDBC and PostgreSQL](https://www.stacksync.com/integrations/jdbc-and-postgresql) - [JDBC and SAP HANA](https://www.stacksync.com/integrations/jdbc-and-sap-hana) - [JDBC and SQL Server](https://www.stacksync.com/integrations/jdbc-and-sql-server) - [JDBC and Supabase](https://www.stacksync.com/integrations/jdbc-and-supabase) ### Data warehouse · 8 - [JDBC and Amazon Redshift](https://www.stacksync.com/integrations/amazon-redshift-and-jdbc) - [JDBC and Amazon S3](https://www.stacksync.com/integrations/aws-s3-and-jdbc) - [JDBC and Azure Synapse Analytics](https://www.stacksync.com/integrations/azure-synapse-analytics-and-jdbc) - [JDBC and BigQuery](https://www.stacksync.com/integrations/bigquery-and-jdbc) - [JDBC and ClickHouse](https://www.stacksync.com/integrations/clickhouse-and-jdbc) - [JDBC and Databricks](https://www.stacksync.com/integrations/databricks-and-jdbc) - [JDBC and Google Cloud Platform](https://www.stacksync.com/integrations/google-cloud-platform-and-jdbc) - [JDBC and Snowflake](https://www.stacksync.com/integrations/jdbc-and-snowflake) ### Business productivity · 31 - [JDBC and Adobe Sign](https://www.stacksync.com/integrations/adobe-sign-and-jdbc) - [JDBC and Amazon Seller Central](https://www.stacksync.com/integrations/amazon-seller-central-and-jdbc) - [JDBC and Asana](https://www.stacksync.com/integrations/asana-and-jdbc) - [JDBC and Atlassian](https://www.stacksync.com/integrations/atlassian-and-jdbc) - [JDBC and Braze](https://www.stacksync.com/integrations/braze-and-jdbc) - [JDBC and Campfire](https://www.stacksync.com/integrations/campfire-and-jdbc) - [JDBC and ConnectWise](https://www.stacksync.com/integrations/connectwise-and-jdbc) - [JDBC and Docusign](https://www.stacksync.com/integrations/docusign-and-jdbc) - [JDBC and eClinicalWorks](https://www.stacksync.com/integrations/eclinicalworks-and-jdbc) - [JDBC and Front](https://www.stacksync.com/integrations/front-and-jdbc) - [JDBC and Gainsight](https://www.stacksync.com/integrations/gainsight-and-jdbc) - [JDBC and GitHub](https://www.stacksync.com/integrations/github-and-jdbc) - [JDBC and Google Sheets](https://www.stacksync.com/integrations/google-sheets-and-jdbc) - [JDBC and Ironclad](https://www.stacksync.com/integrations/ironclad-and-jdbc) - [JDBC and Klaviyo](https://www.stacksync.com/integrations/jdbc-and-klaviyo) - [JDBC and Lusha](https://www.stacksync.com/integrations/jdbc-and-lusha) - [JDBC and Microsoft 365](https://www.stacksync.com/integrations/jdbc-and-microsoft-365) - [JDBC and Microsoft Dynamics 365](https://www.stacksync.com/integrations/jdbc-and-microsoft-dynamics-365) - [JDBC and Microsoft Teams](https://www.stacksync.com/integrations/jdbc-and-microsoft-teams) - [JDBC and Monday](https://www.stacksync.com/integrations/jdbc-and-monday) - [JDBC and Notion](https://www.stacksync.com/integrations/jdbc-and-notion) - [JDBC and Quip](https://www.stacksync.com/integrations/jdbc-and-quip) - [JDBC and SendGrid](https://www.stacksync.com/integrations/jdbc-and-sendgrid) - [JDBC and ServiceMax](https://www.stacksync.com/integrations/jdbc-and-servicemax) - [JDBC and ServiceNow](https://www.stacksync.com/integrations/jdbc-and-servicenow) - [JDBC and Slack](https://www.stacksync.com/integrations/jdbc-and-slack) - [JDBC and Smartsheet](https://www.stacksync.com/integrations/jdbc-and-smartsheet) - [JDBC and SysAid](https://www.stacksync.com/integrations/jdbc-and-sysaid) - [JDBC and Twilio](https://www.stacksync.com/integrations/jdbc-and-twilio) - [JDBC and Wrike](https://www.stacksync.com/integrations/jdbc-and-wrike) - [JDBC and Zendesk](https://www.stacksync.com/integrations/jdbc-and-zendesk) ### Accounting and finance · 13 - [JDBC and Adyen](https://www.stacksync.com/integrations/adyen-and-jdbc) - [JDBC and Anaplan](https://www.stacksync.com/integrations/anaplan-and-jdbc) - [JDBC and BILL](https://www.stacksync.com/integrations/bill-and-jdbc) - [JDBC and Braintree](https://www.stacksync.com/integrations/braintree-and-jdbc) - [JDBC and Chargebee](https://www.stacksync.com/integrations/chargebee-and-jdbc) - [JDBC and Coupa](https://www.stacksync.com/integrations/coupa-and-jdbc) - [JDBC and Navan](https://www.stacksync.com/integrations/jdbc-and-navan) - [JDBC and QuickBooks](https://www.stacksync.com/integrations/jdbc-and-quickbooks) - [JDBC and Ramp](https://www.stacksync.com/integrations/jdbc-and-ramp) - [JDBC and Recurly](https://www.stacksync.com/integrations/jdbc-and-recurly) - [JDBC and Stripe](https://www.stacksync.com/integrations/jdbc-and-stripe) - [JDBC and Workday](https://www.stacksync.com/integrations/jdbc-and-workday) - [JDBC and Zuora](https://www.stacksync.com/integrations/jdbc-and-zuora) ### AI · 4 - [JDBC and Autopilot](https://www.stacksync.com/integrations/autopilot-and-jdbc) - [JDBC and Azure OpenAI](https://www.stacksync.com/integrations/azure-openai-and-jdbc) - [JDBC and OpenAI](https://www.stacksync.com/integrations/jdbc-and-openai) - [JDBC and Pinecone](https://www.stacksync.com/integrations/jdbc-and-pinecone) ### Analytics · 6 - [JDBC and Adobe Analytics](https://www.stacksync.com/integrations/adobeanalytics-and-jdbc) - [JDBC and Microsoft Power BI](https://www.stacksync.com/integrations/jdbc-and-microsoft-power-bi) - [JDBC and Mixpanel](https://www.stacksync.com/integrations/jdbc-and-mixpanel) - [JDBC and Pendo](https://www.stacksync.com/integrations/jdbc-and-pendo) - [JDBC and Splunk](https://www.stacksync.com/integrations/jdbc-and-splunk) - [JDBC and Tableau](https://www.stacksync.com/integrations/jdbc-and-tableau) ### Communications · 5 - [JDBC and Aircall](https://www.stacksync.com/integrations/aircall-and-jdbc) - [JDBC and Amazon SES](https://www.stacksync.com/integrations/amazon-ses-and-jdbc) - [JDBC and Infobip](https://www.stacksync.com/integrations/infobip-and-jdbc) - [JDBC and RingCentral](https://www.stacksync.com/integrations/jdbc-and-ringcentral) - [JDBC and Zoom](https://www.stacksync.com/integrations/jdbc-and-zoom) ### Developer tools · 9 - [JDBC and Azure Service Bus](https://www.stacksync.com/integrations/azure-service-bus-and-jdbc) - [JDBC and Datadog](https://www.stacksync.com/integrations/datadog-and-jdbc) - [JDBC and Jira](https://www.stacksync.com/integrations/jdbc-and-jira) - [JDBC and JMS](https://www.stacksync.com/integrations/jdbc-and-jms) - [JDBC and LDAP](https://www.stacksync.com/integrations/jdbc-and-ldap) - [JDBC and New Relic](https://www.stacksync.com/integrations/jdbc-and-newrelic) - [JDBC and Opsgenie](https://www.stacksync.com/integrations/jdbc-and-opsgenie) - [JDBC and PagerDuty](https://www.stacksync.com/integrations/jdbc-and-pagerduty) - [JDBC and RabbitMQ](https://www.stacksync.com/integrations/jdbc-and-rabbitmq) ### E-commerce · 6 - [JDBC and Akeneo](https://www.stacksync.com/integrations/akeneo-and-jdbc) - [JDBC and BigCommerce](https://www.stacksync.com/integrations/bigcommerce-and-jdbc) - [JDBC and EasyPost](https://www.stacksync.com/integrations/easypost-and-jdbc) - [JDBC and Magento](https://www.stacksync.com/integrations/jdbc-and-magento) - [JDBC and Shipwire](https://www.stacksync.com/integrations/jdbc-and-shipwire) - [JDBC and Shopware](https://www.stacksync.com/integrations/jdbc-and-shopware) ### Human resources · 12 - [JDBC and BambooHR](https://www.stacksync.com/integrations/bamboohr-and-jdbc) - [JDBC and Ceridian Dayforce](https://www.stacksync.com/integrations/ceridian-dayforce-and-jdbc) - [JDBC and Greenhouse](https://www.stacksync.com/integrations/greenhouse-and-jdbc) - [JDBC and Hibob](https://www.stacksync.com/integrations/hibob-and-jdbc) - [JDBC and Jobvite](https://www.stacksync.com/integrations/jdbc-and-jobvite) - [JDBC and Lever](https://www.stacksync.com/integrations/jdbc-and-lever) - [JDBC and Oracle Fusion Cloud HCM](https://www.stacksync.com/integrations/jdbc-and-oracle-fusion-cloud-hcm) - [JDBC and Paylocity](https://www.stacksync.com/integrations/jdbc-and-paylocity) - [JDBC and SmartRecruiters](https://www.stacksync.com/integrations/jdbc-and-smartrecruiters) - [JDBC and Success Factors](https://www.stacksync.com/integrations/jdbc-and-success-factors) - [JDBC and UKG Pro](https://www.stacksync.com/integrations/jdbc-and-ukg-pro) - [JDBC and UKG Ready](https://www.stacksync.com/integrations/jdbc-and-ukg-ready) ### Marketing · 8 - [JDBC and Bingads](https://www.stacksync.com/integrations/bingads-and-jdbc) - [JDBC and Cvent](https://www.stacksync.com/integrations/cvent-and-jdbc) - [JDBC and Demandbase](https://www.stacksync.com/integrations/demandbase-and-jdbc) - [JDBC and Eloqua](https://www.stacksync.com/integrations/eloqua-and-jdbc) - [JDBC and Iterable](https://www.stacksync.com/integrations/iterable-and-jdbc) - [JDBC and Marketo](https://www.stacksync.com/integrations/jdbc-and-marketo) - [JDBC and Salesforce Marketing Cloud](https://www.stacksync.com/integrations/jdbc-and-salesforce-marketing-cloud) - [JDBC and Twitter Ads](https://www.stacksync.com/integrations/jdbc-and-twitter-ads) ### Security and identity · 6 - [JDBC and Active Directory](https://www.stacksync.com/integrations/active-directory-and-jdbc) - [JDBC and Auth0](https://www.stacksync.com/integrations/auth0-and-jdbc) - [JDBC and Azure Active Directory](https://www.stacksync.com/integrations/azure-active-directory-and-jdbc) - [JDBC and JumpCloud](https://www.stacksync.com/integrations/jdbc-and-jumpcloud) - [JDBC and Okta](https://www.stacksync.com/integrations/jdbc-and-okta) - [JDBC and OneLogin](https://www.stacksync.com/integrations/jdbc-and-onelogin) ### Storage · 4 - [JDBC and Amazon S3](https://www.stacksync.com/integrations/amazon-s3-and-jdbc) - [JDBC and Box](https://www.stacksync.com/integrations/box-and-jdbc) - [JDBC and Egnyte](https://www.stacksync.com/integrations/egnyte-and-jdbc) - [JDBC and SharePoint](https://www.stacksync.com/integrations/jdbc-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/)