You can configure Bigtable tables with microsecond timestamp granularity to capture and store high-frequency data.

You can use Apache Avro schema bundles to query individual fields within Avro records stored as serialized bytes in Bigtable.

You can query your Avro data using GoogleSQL for Bigtable, continuous materialized views, and logical views. This feature is in Preview.

You can use Google Cloud Data Agent Kit to browse Bigtable instances and tables, design schemas, and run GoogleSQL queries from your IDE or coding agent.

This feature is generally available (GA). For more information, see Data Agent Kit is now GA: Bring Google Data Cloud to any coding agent.

You can use the Google Cloud console to create and manage protobuf schemas (schema bundles) for your Bigtable tables.

You can also view schema bundle definitions in Bigtable Studio. This feature is generally available (GA). For more information, see Create and manage protobuf schemas.

You can use the Google Cloud console to create, list, and query parameterized views for your Bigtable instances.

You can also configure view parameters and run queries in Bigtable Studio. This feature is generally available (GA). For more information, see Create and manage parameterized views.

You can use the Google Cloud console to create and manage aggregate column families for your Bigtable tables.

You can also view and query aggregate column families in Bigtable Studio. This feature is generally available (GA). For more information, see Create and manage tables and Manage your data using Bigtable Studio.