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Lakebase Autoscaling limitations

Preview

This feature is in Public Preview in the following regions: us-east-1, us-west-2, eu-west-1.

Lakebase Autoscaling is the new version of Lakebase with autoscaling compute, scale-to-zero, branching, and instant restore. For feature comparison with Lakebase Provisioned, see choosing between versions.

The following limitations apply to Lakebase Postgres Autoscaling.

Lakebase cross-version access​

Lakebase Provisioned and Lakebase Autoscaling are separate implementations.

Database instances created in Lakebase Provisioned are not accessible from the Lakebase App, and projects created in the Lakebase App are not accessible from Lakebase Provisioned.

Learn more: Lakebase Postgres

Migration between Lakebase Provisioned and Lakebase Autoscaling​

Direct migration between Lakebase Provisioned and Lakebase Autoscaling is not currently supported.

If you need to move data from a Lakebase Provisioned database to a Lakebase Autoscaling database, you can use one of the following methods:

  • Reverse ETL: Sync data from Unity Catalog tables into your Lakebase Autoscaling database.
  • pg_dump and pg_restore: Export and import data using standard Postgres tools.

Postgres compatibility​

Lakebase Postgres Autoscaling supports standard Postgres functionality and is compatible with Postgres 16 and Postgres 17. For detailed information about Postgres feature compatibility and any differences from standard Postgres behavior, see Postgres compatibility.

High availability​

Lakebase Autoscaling does not support readable secondaries for high availability. This feature is only available in Lakebase Provisioned.

In Lakebase Provisioned, readable secondaries allow high availability nodes to serve read-only workloads using a separate DNS endpoint. See Configure for high availability for more information about this feature in Lakebase Provisioned.

Databricks platform integrations​

The following Databricks platform features and integrations are not currently supported in Lakebase Autoscaling:

Application and data integrations:

  • Databricks Apps integration
  • Databricks Feature Store integration
  • Databricks Notebooks

Infrastructure as code:

  • Databricks Asset Bundles (DABs)
  • Terraform provider for Lakebase resources

Cost management:

  • Billing tags (custom tags)
  • Serverless budget policies

APIs and programmatic access:

  • Lakebase REST API
  • Databricks CLI for Lakebase resources
  • Databricks SDKs for Lakebase resources

These features are currently only supported with Lakebase Provisioned. See Database instances.