Schema Exclusion Rules for Postgres Fan-In
Regular expressions can exclude specific Postgres schemas from automatic fan-in, with a preview of matching schemas before replication starts.
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Large JSON Support for Redshift
Large JSON payloads land in Amazon Redshift as the SUPER data type, which supports documents up to 16MB and avoids truncation.
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New Destination: Postgres
Postgres is available as a destination, with changes streamed from source databases and schema changes and backfills handled automatically.
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Specifying Snowflake Roles
Specify which Snowflake role to use when authenticating with a service account, so one account can serve several environments.
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Iceberg Support Using S3 Tables
Stream data into Apache Iceberg tables on S3 using S3 Tables, with a managed catalog, compaction, and snapshot management.
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S3 Iceberg destination (Beta)
S3 Iceberg is available in beta as a destination, replicating directly into Apache Iceberg tables backed by AWS S3 Tables.
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Self-Serve DynamoDB Backfills
A guided flow in the DynamoDB pipeline setup lets you start a table export from your AWS account or select an existing export, with errors shown immediately.
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External Stage Support for Snowflake
Delta files can be written to a Snowflake external stage, such as your own S3 bucket, and read from there when changes are applied to the target table.
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Oracle Fan-in
Oracle Fan-in replicates data from thousands of Oracle sources while reducing Kafka topic sprawl and infrastructure costs.
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