Databricks to Apache Iceberg integration
Connect Databricks to Apache Iceberg and automatically sync your cloud data warehouse data. Weld extracts data from Databricks, loads it into Apache Iceberg, and lets you transform the data using SQL or dbt, no custom scripts required.
Your own tables, picked when you set up the sync.
- Extract
- Load
- Keep in sync
- databricks.Synced
- databricks.Syncing
- databricks.Synced
- databricks.Synced
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Why sync Databricks to Apache Iceberg?
Ready for analysis.
Centralizing your Databricks data in Apache Iceberg lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Databricks data directly in Apache Iceberg using SQL or your preferred BI tool.
Centralized data warehouse
Bring Databricks data into Apache Iceberg 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 Databricks to Apache Iceberg. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
From Databricks to Apache Iceberg.
Weld syncs the objects the Databricks connector exposes into Apache Iceberg, and you choose which tables and fields to include. The connector's docs list what is available.
Ask your agent.
It queries Apache Iceberg for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Databricks context, finds the tables it needs and runs the query in Apache Iceberg.
Which Databricks tables do we have in Apache Iceberg, and which is the largest?
Looking up what Weld has synced from Databricks.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Databricks API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Databricks adds new fields, they're detected and added to the corresponding Apache Iceberg 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.
Common questions.
About Databricks to Apache Iceberg.
Start syncing Databricks to Apache Iceberg.
Set up your Databricks data pipeline in minutes. No credit card required. Free for 14 days.