--- title: "AWS Aurora PostgreSQL connector | Stacksync" description: "AWS Aurora PostgreSQL integration planning: Databases and schemas, Tables and Rows. Compatibility, identity, dependencies, and validation." canonical: https://www.stacksync.com/connectors/aws-aurora-postgresql last_modified: 2026-09-15 --- Database · Two-way sync platform # AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL workflow to the systems your business runs on. Work with a Stacksync engineer to confirm the connection and required operations, starting with Databases and schemas, Tables and Rows. 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. - **Databases and schemas** - **Tables** - **Rows** **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=aws-aurora-postgresql) ## 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 ## AWS Aurora PostgreSQL records to discuss. These AWS Aurora PostgreSQL record examples help scope a technical review. They are not a list of verified Stacksync operations. Databases and schemas Identify this record type and the operation you need to review with Stacksync. Tables Identify this record type and the operation you need to review with Stacksync. Rows Identify this record type and the operation you need to review with Stacksync. ### See 3 more record examples Columns Identify this record type and the operation you need to review with Stacksync. Primary keys and constraints Identify this record type and the operation you need to review with Stacksync. Views and materialized views Identify this record type and the operation you need to review with Stacksync. Connection setup ## AWS Aurora PostgreSQL connection requirements. Review AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL account, edition, environment, and business objects the integration must access. - Confirm a Stacksync connector or implementation path for AWS Aurora PostgreSQL, including read/write support, authentication, and initial-load limits. Integration design ## Match records and fields for your AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL **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 #### Databases and schemas, Tables and Rows 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 Databases and schemas, Tables and Rows 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL integration. ### Diagnose record matching, delayed changes, and rejected operations A AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL implementation’s change-detection method for Databases and schemas, Tables and Rows. 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL workflow with an engineer](https://www.stacksync.com/book-a-demo?connector=aws-aurora-postgresql) ## AWS Aurora PostgreSQL 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 ## AWS Aurora PostgreSQL connector FAQ ### How should I plan an integration with AWS Aurora PostgreSQL? 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 AWS Aurora PostgreSQL connector write changes back? Write-back support is not established for this connection. Review the AWS Aurora PostgreSQL records and fields you need with a Stacksync engineer, then test the required operation with a representative record. ### Which identifiers should I preserve for AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL? 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL integration demo? Start with one workflow and a sample record from Databases and schemas, Tables and Rows. 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and another app or database. #### Also from the same chat You can also ask for workflows and AI agents (Genies) that use AWS Aurora PostgreSQL. The assistant checks what each app supports, for example: - “Build a workflow that messages our team in Slack when a AWS Aurora PostgreSQL record changes.” - “Create a Genie that answers questions about our AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 - [AWS Aurora PostgreSQL and DuckDB](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-duckdb) - [AWS Aurora PostgreSQL and TimescaleDB](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-timescaledb) - [AWS Aurora PostgreSQL and Databricks](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-databricks) - [Amazon Lightsail and AWS Aurora PostgreSQL](https://www.stacksync.com/integrations/amazon-lightsail-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and SAP HANA](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sap-hana) - [AWS Aurora PostgreSQL and Bingads](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-bingads) - [AWS Aurora PostgreSQL and HubSpot](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-hubspot) - [AWS Aurora PostgreSQL and Okta](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-okta) ### CRM · 31 - [AWS Aurora PostgreSQL and 6sense](https://www.stacksync.com/integrations/6sense-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Affinity](https://www.stacksync.com/integrations/affinity-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Attio](https://www.stacksync.com/integrations/attio-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Chorusai](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-chorusai) - [AWS Aurora PostgreSQL and Clearbit](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-clearbit) - [AWS Aurora PostgreSQL and Close](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-close) - [AWS Aurora PostgreSQL and Copper CRM](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-copper-crm) - [AWS Aurora PostgreSQL and Dun & Bradstreet](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-dun-bradstreet) - [AWS Aurora PostgreSQL and Freshsales](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-freshsales) - [AWS Aurora PostgreSQL and Freshworks CRM](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-freshworks-crm) - [AWS Aurora PostgreSQL and Gong](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-gong) - [AWS Aurora PostgreSQL and Gorgias](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-gorgias) - [AWS Aurora PostgreSQL and HubSpot](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-hubspot) - [AWS Aurora PostgreSQL and Infor CRM](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-infor-crm) - [AWS Aurora PostgreSQL and Insightly](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-insightly) - [AWS Aurora PostgreSQL and Intercom](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-intercom) - [AWS Aurora PostgreSQL and Kommo](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-kommo) - [AWS Aurora PostgreSQL and Outreach](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-outreach) - [AWS Aurora PostgreSQL and Pipedrive](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-pipedrive) - [AWS Aurora PostgreSQL and Salesforce](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-salesforce) - [AWS Aurora PostgreSQL and Salesloft](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-salesloft) - [AWS Aurora PostgreSQL and SAP Sales Cloud](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sap-sales-cloud) - [AWS Aurora PostgreSQL and Seismic](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-seismic) - [AWS Aurora PostgreSQL and Shopify](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-shopify) - [AWS Aurora PostgreSQL and SugarCRM](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sugarcrm) - [AWS Aurora PostgreSQL and Veeva CRM](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-veeva-crm) - [AWS Aurora PostgreSQL and Vtiger CRM](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-vtiger-crm) - [AWS Aurora PostgreSQL and Xactly](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-xactly) - [AWS Aurora PostgreSQL and Zoho CRM](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-zoho-crm) - [AWS Aurora PostgreSQL and Zoho SalesIQ](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-zoho-salesiq) - [AWS Aurora PostgreSQL and ZoomInfo](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-zoominfo) ### ERP · 26 - [AWS Aurora PostgreSQL and Acumatica](https://www.stacksync.com/integrations/acumatica-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Brightpearl](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-brightpearl) - [AWS Aurora PostgreSQL and Cin7](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-cin7) - [AWS Aurora PostgreSQL and Dynamics 365 Business Central](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-microsoft-dynamics-365-business-central) - [AWS Aurora PostgreSQL and Dynamics 365 F&O](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-dynamics-365-finance-operations) - [AWS Aurora PostgreSQL and Epicor ERP](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-epicor-erp) - [AWS Aurora PostgreSQL and Infor LN](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-infor-ln) - [AWS Aurora PostgreSQL and Infor M3](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-infor-m3) - [AWS Aurora PostgreSQL and Linnworks](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-linnworks) - [AWS Aurora PostgreSQL and Microsoft Dynamics GP](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-microsoft-dynamics-gp) - [AWS Aurora PostgreSQL and Microsoft Dynamics NAV](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-microsoft-dynamics-nav) - [AWS Aurora PostgreSQL and NetSuite](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-netsuite) - [AWS Aurora PostgreSQL and Odoo](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-odoo) - [AWS Aurora PostgreSQL and Plex ERP](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-plex-erp) - [AWS Aurora PostgreSQL and QAD ERP](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-qad-erp) - [AWS Aurora PostgreSQL and Sage 100](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sage-100) - [AWS Aurora PostgreSQL and Sage 300](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sage-300) - [AWS Aurora PostgreSQL and Sage Intacct](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sage-intacct) - [AWS Aurora PostgreSQL and Sage X3](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sage-x3) - [AWS Aurora PostgreSQL and SAP](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sap) - [AWS Aurora PostgreSQL and SAP Business ByDesign](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sap-business-bydesign) - [AWS Aurora PostgreSQL and SAP Business One](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sap-business-one) - [AWS Aurora PostgreSQL and SAP S/4HANA](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sap-s4hana) - [AWS Aurora PostgreSQL and SuiteAnalytics](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-suite-analytics) - [AWS Aurora PostgreSQL and Syspro](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-syspro) - [AWS Aurora PostgreSQL and TikTok Shop](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-tiktok) ### Database · 23 - [AWS Aurora PostgreSQL and Airtable](https://www.stacksync.com/integrations/airtable-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Amazon DynamoDB](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-dynamo-db) - [AWS Aurora PostgreSQL and Amazon DynamoDB](https://www.stacksync.com/integrations/amazon-dynamodb-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Amazon Lightsail](https://www.stacksync.com/integrations/amazon-lightsail-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Amazon RDS](https://www.stacksync.com/integrations/amazon-rds-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and DuckDB](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-duckdb) - [AWS Aurora PostgreSQL and Elasticsearch](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-elasticsearch) - [AWS Aurora PostgreSQL and Firebase](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-firebase) - [AWS Aurora PostgreSQL and Google AlloyDB](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-google-alloydb) - [AWS Aurora PostgreSQL and IBM Db2](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-ibm-db2) - [AWS Aurora PostgreSQL and InfluxDB](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-influxdb) - [AWS Aurora PostgreSQL and MongoDB](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-mongodb) - [AWS Aurora PostgreSQL and MySQL](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-mysql) - [AWS Aurora PostgreSQL and Neo4j](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-neo4j) - [AWS Aurora PostgreSQL and Oracle DB](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-oracle-db) - [AWS Aurora PostgreSQL and Postgres Heroku](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-postgres-heroku) - [AWS Aurora PostgreSQL and PostgreSQL](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-postgresql) - [AWS Aurora PostgreSQL and SAP ASE (Sybase)](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sap-ase-sybase) - [AWS Aurora PostgreSQL and SAP HANA](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sap-hana) - [AWS Aurora PostgreSQL and SingleStore](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-singlestore) - [AWS Aurora PostgreSQL and SQL Server](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sql-server) - [AWS Aurora PostgreSQL and Supabase](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-supabase) - [AWS Aurora PostgreSQL and TimescaleDB](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-timescaledb) ### Data warehouse · 11 - [AWS Aurora PostgreSQL and Amazon Redshift](https://www.stacksync.com/integrations/amazon-redshift-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Amazon S3](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-aws-s3) - [AWS Aurora PostgreSQL and Azure Synapse Analytics](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-azure-synapse-analytics) - [AWS Aurora PostgreSQL and BigQuery](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-bigquery) - [AWS Aurora PostgreSQL and ClickHouse](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-clickhouse) - [AWS Aurora PostgreSQL and Databricks](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-databricks) - [AWS Aurora PostgreSQL and Google Cloud Platform](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-google-cloud-platform) - [AWS Aurora PostgreSQL and Greenplum](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-greenplum) - [AWS Aurora PostgreSQL and MotherDuck](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-motherduck) - [AWS Aurora PostgreSQL and Rockset](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-rockset) - [AWS Aurora PostgreSQL and Snowflake](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-snowflake) ### Business productivity · 33 - [AWS Aurora PostgreSQL and Adobe Sign](https://www.stacksync.com/integrations/adobe-sign-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Amazon Seller Central](https://www.stacksync.com/integrations/amazon-seller-central-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Asana](https://www.stacksync.com/integrations/asana-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Atlassian](https://www.stacksync.com/integrations/atlassian-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Braze](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-braze) - [AWS Aurora PostgreSQL and Campfire](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-campfire) - [AWS Aurora PostgreSQL and ConnectWise](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-connectwise) - [AWS Aurora PostgreSQL and Customer.io](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-customer-io) - [AWS Aurora PostgreSQL and Docusign](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-docusign) - [AWS Aurora PostgreSQL and eClinicalWorks](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-eclinicalworks) - [AWS Aurora PostgreSQL and Front](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-front) - [AWS Aurora PostgreSQL and Gainsight](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-gainsight) - [AWS Aurora PostgreSQL and GitHub](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-github) - [AWS Aurora PostgreSQL and Google Sheets](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-google-sheets) - [AWS Aurora PostgreSQL and Ironclad](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-ironclad) - [AWS Aurora PostgreSQL and Klaviyo](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-klaviyo) - [AWS Aurora PostgreSQL and Lusha](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-lusha) - [AWS Aurora PostgreSQL and Microsoft 365](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-microsoft-365) - [AWS Aurora PostgreSQL and Microsoft Dynamics 365](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-microsoft-dynamics-365) - [AWS Aurora PostgreSQL and Monday](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-monday) - [AWS Aurora PostgreSQL and NextGen Healthcare](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-nextgen-healthcare) - [AWS Aurora PostgreSQL and Notion](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-notion) - [AWS Aurora PostgreSQL and Orderful](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-orderful) - [AWS Aurora PostgreSQL and Quip](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-quip) - [AWS Aurora PostgreSQL and SendGrid](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sendgrid) - [AWS Aurora PostgreSQL and ServiceMax](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-servicemax) - [AWS Aurora PostgreSQL and ServiceNow](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-servicenow) - [AWS Aurora PostgreSQL and Slack](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-slack) - [AWS Aurora PostgreSQL and Smartsheet](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-smartsheet) - [AWS Aurora PostgreSQL and SysAid](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-sysaid) - [AWS Aurora PostgreSQL and Twilio](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-twilio) - [AWS Aurora PostgreSQL and Wrike](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-wrike) - [AWS Aurora PostgreSQL and Zendesk](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-zendesk) ### Accounting and finance · 16 - [AWS Aurora PostgreSQL and Adyen](https://www.stacksync.com/integrations/adyen-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Anaplan](https://www.stacksync.com/integrations/anaplan-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and BILL](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-bill) - [AWS Aurora PostgreSQL and Braintree](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-braintree) - [AWS Aurora PostgreSQL and Chargebee](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-chargebee) - [AWS Aurora PostgreSQL and Coupa](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-coupa) - [AWS Aurora PostgreSQL and Hyperline](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-hyperline) - [AWS Aurora PostgreSQL and Navan](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-navan) - [AWS Aurora PostgreSQL and Pigment](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-pigment) - [AWS Aurora PostgreSQL and QuickBooks](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-quickbooks) - [AWS Aurora PostgreSQL and Ramp](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-ramp) - [AWS Aurora PostgreSQL and Recurly](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-recurly) - [AWS Aurora PostgreSQL and Rillet](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-rillet) - [AWS Aurora PostgreSQL and Stripe](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-stripe) - [AWS Aurora PostgreSQL and Workday](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-workday) - [AWS Aurora PostgreSQL and Zuora](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-zuora) ### AI · 4 - [AWS Aurora PostgreSQL and Autopilot](https://www.stacksync.com/integrations/autopilot-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Azure OpenAI](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-azure-openai) - [AWS Aurora PostgreSQL and OpenAI](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-openai) - [AWS Aurora PostgreSQL and Pinecone](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-pinecone) ### Analytics · 6 - [AWS Aurora PostgreSQL and Adobe Analytics](https://www.stacksync.com/integrations/adobeanalytics-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Microsoft Power BI](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-microsoft-power-bi) - [AWS Aurora PostgreSQL and Mixpanel](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-mixpanel) - [AWS Aurora PostgreSQL and Pendo](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-pendo) - [AWS Aurora PostgreSQL and Splunk](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-splunk) - [AWS Aurora PostgreSQL and Tableau](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-tableau) ### Communications · 5 - [AWS Aurora PostgreSQL and Aircall](https://www.stacksync.com/integrations/aircall-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Amazon SES](https://www.stacksync.com/integrations/amazon-ses-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Infobip](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-infobip) - [AWS Aurora PostgreSQL and RingCentral](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-ringcentral) - [AWS Aurora PostgreSQL and Zoom](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-zoom) ### Developer tools · 9 - [AWS Aurora PostgreSQL and Azure Service Bus](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-azure-service-bus) - [AWS Aurora PostgreSQL and Datadog](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-datadog) - [AWS Aurora PostgreSQL and Jira](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-jira) - [AWS Aurora PostgreSQL and JMS](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-jms) - [AWS Aurora PostgreSQL and LDAP](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-ldap) - [AWS Aurora PostgreSQL and New Relic](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-newrelic) - [AWS Aurora PostgreSQL and Opsgenie](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-opsgenie) - [AWS Aurora PostgreSQL and PagerDuty](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-pagerduty) - [AWS Aurora PostgreSQL and RabbitMQ](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-rabbitmq) ### E-commerce · 6 - [AWS Aurora PostgreSQL and Akeneo](https://www.stacksync.com/integrations/akeneo-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and BigCommerce](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-bigcommerce) - [AWS Aurora PostgreSQL and EasyPost](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-easypost) - [AWS Aurora PostgreSQL and Magento](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-magento) - [AWS Aurora PostgreSQL and Shipwire](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-shipwire) - [AWS Aurora PostgreSQL and Shopware](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-shopware) ### Human resources · 12 - [AWS Aurora PostgreSQL and BambooHR](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-bamboohr) - [AWS Aurora PostgreSQL and Ceridian Dayforce](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-ceridian-dayforce) - [AWS Aurora PostgreSQL and Greenhouse](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-greenhouse) - [AWS Aurora PostgreSQL and Hibob](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-hibob) - [AWS Aurora PostgreSQL and Jobvite](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-jobvite) - [AWS Aurora PostgreSQL and Lever](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-lever) - [AWS Aurora PostgreSQL and Oracle Fusion Cloud HCM](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-oracle-fusion-cloud-hcm) - [AWS Aurora PostgreSQL and Paylocity](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-paylocity) - [AWS Aurora PostgreSQL and SmartRecruiters](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-smartrecruiters) - [AWS Aurora PostgreSQL and Success Factors](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-success-factors) - [AWS Aurora PostgreSQL and UKG Pro](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-ukg-pro) - [AWS Aurora PostgreSQL and UKG Ready](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-ukg-ready) ### Marketing · 8 - [AWS Aurora PostgreSQL and Bingads](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-bingads) - [AWS Aurora PostgreSQL and Cvent](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-cvent) - [AWS Aurora PostgreSQL and Demandbase](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-demandbase) - [AWS Aurora PostgreSQL and Eloqua](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-eloqua) - [AWS Aurora PostgreSQL and Iterable](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-iterable) - [AWS Aurora PostgreSQL and Marketo](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-marketo) - [AWS Aurora PostgreSQL and Salesforce Marketing Cloud](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-salesforce-marketing-cloud) - [AWS Aurora PostgreSQL and Twitter Ads](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-twitter-ads) ### Security and identity · 6 - [AWS Aurora PostgreSQL and Active Directory](https://www.stacksync.com/integrations/active-directory-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Auth0](https://www.stacksync.com/integrations/auth0-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Azure Active Directory](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-azure-active-directory) - [AWS Aurora PostgreSQL and JumpCloud](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-jumpcloud) - [AWS Aurora PostgreSQL and Okta](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-okta) - [AWS Aurora PostgreSQL and OneLogin](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-onelogin) ### Storage · 4 - [AWS Aurora PostgreSQL and Amazon S3](https://www.stacksync.com/integrations/amazon-s3-and-aws-aurora-postgresql) - [AWS Aurora PostgreSQL and Box](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-box) - [AWS Aurora PostgreSQL and Egnyte](https://www.stacksync.com/integrations/aws-aurora-postgresql-and-egnyte) - [AWS Aurora PostgreSQL and SharePoint](https://www.stacksync.com/integrations/aws-aurora-postgresql-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/)