You can use Gemini in Bigtable Studio to help you write GoogleSQL queries. This feature is available in Preview. For more information, see Write SQL with Gemini assistance.
]]>You can connect to Bigtable from Java applications and other reporting tools that support a generic JDBC adapter by using the Bigtable JDBC driver. This feature is generally available (GA).
You can use protocol buffer (protobuf) schemas to query individual fields within protobuf messages stored as bytes in Bigtable. You can query your protobuf data using GoogleSQL for Bigtable, continuous materialized views, logical views, or BigQuery external tables. This feature is generally available (GA).
]]>You can view the details of Bigtable continuous materialized views in the Google Cloud console.
]]>Bigtable client for Java has modernized its Admin API. For detailed migration steps and code examples, see Upgrading client libraries.
]]>You can manage Bigtable tiered storage configuration in the Google Cloud console and view tiered storage metrics in system insights. For more information, see Create and manage tables.
]]>Bigtable tools in the Agent Development Kit (ADK) are generally available (GA). With these tools, you can build AI agents that interact with Bigtable to discover metadata about Bigtable tables and instances and execute LLM-powered SQL queries.
]]>New best practices are available for securing generative AI agents using Model Context Protocol (MCP) with Google Cloud databases. This guide covers key security measures like least privilege, native database controls, and secure agent design to help you build safer AI applications. For more information, see Best practices for securing agent interactions with Model Context Protocol.
You can migrate a machine learning feature management workload from Vertex AI Feature Store (Legacy) to a Bigtable instance. For more information, see Migrate from Vertex AI Feature Store (Legacy) to Bigtable.
]]>You can use the Bigtable Admin API MCP server to enable agents and AI applications to perform a range of data-related tasks. This feature is in Preview.
]]>You can use the Flink Bigtable connector version 0.3.2 to connect to Bigtable from Apache Flink version 2.1.0. Additionally, this version of the connector lets you specify the number of mutations to include in each batch sent to Bigtable. This feature is generally available (GA).
]]>Bigtable has a unified, customizable system insights dashboard. This dashboard includes predefined metrics and other Google Cloud metrics. This feature is generally available (GA). For more information, see Customize the system insights dashboard.
]]>Bigtable is available in the asia-southeast3 (Bangkok) region. For more
information, see Bigtable locations.
Continuous materialized views support up to five continuous materialized views per table. This lets you create multiple asynchronous secondary indexes on a table or have a mix of precomputed aggregate views and asynchronous secondary indexes on the same base table. For more information, see Continuous materialized views.
]]>add basic interceptor to client (#1206) (6561cfac)
Add encodings for STRUCT and the Timestamp type (72dfdc44)
add PeerInfo proto in Bigtable API (72dfdc44)
Add Type API updates needed to support structured keys in materialized views (72dfdc44)
support mTLS certificates when available (#1249) (ca20219c)
add PeerInfo proto in Bigtable API (PiperOrigin-RevId: 829585900) (185951b3)
precompute featureflags in client and reuse (#13297) (3b3253ac)
Add experimental Bigtable connection pool with custom load balancing strategy. (#12882) (7aa96127)
Enable ALTS hard bound token in Bigtable w/ direct access (#13153) (90239341)
Enable routing cookie and attempt headers for enhanced retries (#12964) (96cfd47a)
fix project id sent in otel (#13286) (4865868c)
screaming uppercase metric status (#13484) (b35ee8fd)
In the Google Cloud console, you can import data into Bigtable using the Dataflow job builder, a web interface for building and running Dataflow pipelines. This integration provides a pre-populated template to import data from Pub/Sub to Bigtable. You can also create a custom job to import data from other sources. For more information, see Import and export data.
]]>You can use protocol buffer (protobuf) schemas to query individual fields within protobuf messages stored as bytes in Bigtable. First, create and manage your protobuf schemas. Then, query your protobuf data using GoogleSQL for Bigtable or BigQuery external tables. This feature is in Preview.
]]>You can use Cloud KMS Autokey in the Google Cloud console to automate the creation and use of customer-managed encryption keys (CMEK) in Bigtable clusters.
]]>Bigtable provides vector and key-value store integrations for LangChain, an LLM orchestration framework. For more information, see Build LLM-powered applications using LangChain and Perform Maximal Marginal Relevance search with LangChain on Bigtable.
]]>You can save queries and then view and manage the saved queries in Bigtable Studio. This feature is in Preview.
]]>The Cassandra-Bigtable proxy adapter, which lets you connect your Apache Cassandra-based applications to Bigtable, is generally available (GA).
You can connect to Bigtable from Java applications and other reporting tools that support a generic JDBC adapter by using the Bigtable JDBC driver. This feature is available in Preview.
]]>You can optimize storage with Bigtable tiered storage, reduce storage costs, and retain data for longer. This feature is available in Preview.
]]>Bigtable tools are available in Agent Development Kit (ADK). With these tools, you can build AI agents that can interact with Bigtable data and metadata in the following ways: