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Amazon Aurora PostgreSQL to Databricks integration

Replicate your Amazon Aurora PostgreSQL data into Databricks with Weld. Automatically replicate the tables you choose from Amazon Aurora PostgreSQL into Databricks, keeping your analytics layer up to date and ready for querying.

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4.8 on G2
Amazon Aurora PostgreSQLSource
WeldWeld
DatabricksWarehouse
Weld · New sync
Amazon Aurora PostgreSQLSourceAmazon Aurora PostgreSQLConnected
Tables to sync

Your own tables, picked when you set up the sync.

  • Extract
  • Load
  • Keep in sync
DatabricksDestinationDatabricksReady
amazon_aurora_postgresql schema
  • amazon_aurora_postgresql.Synced
  • amazon_aurora_postgresql.Syncing
  • amazon_aurora_postgresql.Synced
  • amazon_aurora_postgresql.Synced

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How it works

How to set up Amazon Aurora PostgreSQL to Databricks in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · Data warehouse
DatabricksData warehouseDatabricksConnected
Data locationChosen when you connect
CredentialsService account or key, stored encrypted
Use cases

Why replicate Amazon Aurora PostgreSQL to Databricks?
Ready for analysis.

Centralizing your Amazon Aurora PostgreSQL data in Databricks lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying Amazon Aurora PostgreSQL data directly in Databricks using SQL or your preferred BI tool.

Consolidate data from Amazon Aurora PostgreSQL alongside other databases and applications in a single cloud data warehouse for a unified analytical layer.

  • Database replication for analytics

    Replicate your Amazon Aurora PostgreSQL production data to Databricks without impacting database performance. Query historical data without load on your primary database.

  • Centralized data warehouse

    Bring Amazon Aurora PostgreSQL data into Databricks alongside other sources to create a single source of truth for your organization.

  • Automated reporting

    Replace manual exports and spreadsheet-based reporting with automated pipelines from Amazon Aurora PostgreSQL to Databricks. Connect BI tools like Looker, Metabase, or Power BI.

Data

What data can you replicate?
From Amazon Aurora PostgreSQL to Databricks.

Weld syncs the objects the Amazon Aurora PostgreSQL connector exposes into Databricks, and you choose which tables and fields to include. The connector's docs list what is available.

    Weld MCP server

    Ask your agent.
    It queries Databricks for you.

    Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Amazon Aurora PostgreSQL context, finds the tables it needs and runs the query in Databricks.

    Set up the MCP serverClaudeCursorChatGPTGemini
    Claude CodeOpus 5
    >

    Which Amazon Aurora PostgreSQL tables do we have in Databricks, and which is the largest?

    Looking up what Weld has synced from Amazon Aurora PostgreSQL.

    ●weld·search_available_references
    ⎿raw.amazon_aurora_postgresql.*
    tables, columns and freshness
    ●weld·get_reference_schema
    ⎿columns, types and nullability
    ●weld·run_query
    ⎿select count(*) from {{raw.amazon_aurora_postgresql.…}}
    submitted
    ●weld·get_query_status
    ⎿DONE
    ●weld·get_query_result
    ⎿rows returned
    ✓Answered from Amazon Aurora PostgreSQL data in Databricks
    >Ask about your Amazon Aurora PostgreSQL data
    Under the hood

    Technical considerations.
    What to expect.

    Incremental syncing
    Weld uses incremental syncing where supported by the Amazon Aurora PostgreSQL API, loading only new and updated records to minimize data transfer and warehouse costs.
    Change data capture
    For Amazon Aurora PostgreSQL, Weld can use log-based replication (CDC) to capture inserts, updates, and deletes without querying the entire table on every sync.
    Schema handling
    Weld automatically manages schema changes. If Amazon Aurora PostgreSQL adds new fields, they're detected and added to the corresponding Databricks tables.
    Data freshness
    Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
    Security
    All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
    Resources

    Keep reading.
    Guides, docs and schema.

    Documentation

    Amazon Aurora PostgreSQL setup guide

    How to connect Amazon Aurora PostgreSQL to Weld, step by step.

    Documentation

    Databricks setup guide

    How to connect Databricks to Weld, step by step.

    Connector

    Amazon Aurora PostgreSQL connector

    Everything Weld does with Amazon Aurora PostgreSQL.

    Connector

    Databricks connector

    Everything Weld does with Databricks.

    FAQ

    Common questions.
    About Amazon Aurora PostgreSQL to Databricks.

    Start syncing Amazon Aurora PostgreSQL to Databricks.

    Set up your Amazon Aurora PostgreSQL data pipeline in minutes. No credit card required. Free for 14 days.

    Amazon Aurora PostgreSQLSource
    WeldWeld
    DatabricksWarehouse
    Start for freeTalk to us
    Related

    Related integrations.
    More with Amazon Aurora PostgreSQL and Databricks.

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