MariaDB to Databricks integration

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

4.8 on G2
MariaDBSource
WeldWeld
DatabricksWarehouse
Weld · New sync
MariaDBSourceMariaDBConnected
Tables to sync

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

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

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How it works

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

Weld · New MariaDB sync
MariaDBNew connectionMariaDBAuthorised
Connection namemariadb
AuthorizeOpens MariaDB to grant read access
Use cases

Why replicate MariaDB to Databricks?
Ready for analysis.

Centralizing your MariaDB 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 MariaDB data directly in Databricks using SQL or your preferred BI tool.

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

  • Database replication for analytics

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

  • Centralized data warehouse

    Bring MariaDB 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 MariaDB to Databricks. Connect BI tools like Looker, Metabase, or Power BI.

Data

What data can you replicate?
From MariaDB to Databricks.

Weld syncs the objects the MariaDB 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 MariaDB context, finds the tables it needs and runs the query in Databricks.

    Claude CodeOpus 5
    >

    Which MariaDB tables do we have in Databricks, and which is the largest?

    Looking up what Weld has synced from MariaDB.

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

    Technical considerations.
    What to expect.

    Incremental syncing
    Weld uses incremental syncing where supported by the MariaDB API, loading only new and updated records to minimize data transfer and warehouse costs.
    Change data capture
    For MariaDB, 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 MariaDB 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.
    FAQ

    Common questions.
    About MariaDB to Databricks.

    Start syncing MariaDB to Databricks.

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

    MariaDBSource
    WeldWeld
    DatabricksWarehouse