Release Notes
July 2025
We renamed the Update BigQuery Metastore toggle in the destination setup form for Google Cloud Storage to Update BigLake Metastore. We have made this change to align with recent terminology changes by Google.
The Google Cloud Storage (GCS) storage configuration option for our Managed Data Lakes Service is now generally available.
Read our Managed Data Lakes Service documentation.
Fivetran Iceberg REST Catalog now supports the following query engines to query data stored in the Iceberg tables:
You can now configure your Managed Data Lakes Service destination using the Fivetran REST API. This feature is available only for Free, Standard, Enterprise, and Business Critical accounts.
June 2025
We no longer create the sequence_number.txt file in your data lake, as the Fivetran Iceberg REST Catalog already handles change tracking for Iceberg tables.
April 2025
We have made the S3 Prefix Path (for AWS) and Prefix Path (for ADLS) fields mandatory in the destination setup form. Previously, they were optional fields.
We have added support for a new storage provider, Google Cloud Storage (GCS), to Managed Data Lakes Service. The new storage provider is currently in beta.
Read our Managed Data Lakes Service documentation.
February 2025
Managed Data Lakes Service provides a flexible way to store and manage data in Amazon S3 and Azure Data Lake Storage (ADLS). It writes data in Parquet format while maintaining metadata for both Iceberg and Delta Lake tables, allowing you to use either format without committing to one. The service supports multiple catalog options, including the Fivetran Iceberg REST Catalog, AWS Glue, and Databricks Unity Catalog, ensuring seamless metadata management and governance.