Feature You can use Bigtable as a remote storage backend for LMCache. By storing the large language model (LLM) key-value (KV) cache externally in Bigtable, multiple AI serving instances can share and reuse precomputed attention tensors. This reduces compute overhead and significantly improves time-to-first-token (TTFT) for repeated prompts and shared documents. This feature is in Preview.
Feature You can use the Google Cloud console to manage row key schemas for your Bigtable tables. This feature is in Preview.
Feature The Bigtable remote MCP server supports the Bigtable Data API, which provides the execute_sql tool that you can use to query Bigtable data using natural language prompts. This feature is generally available (GA). For more information, see Use the Bigtable remote MCP server.
Feature AI agents can use the list_hot_tablets Model Context Protocol (MCP) tool to programmatically query Bigtable cluster health to isolate resource-intensive tablets (hot tablets) and detect overutilized node CPUs. This feature is generally available (GA).
Feature You can use the Bigtable client library for Go to execute read jobs and queries using Data Boost.
Feature You can bind existing tags to Bigtable instances when you create an instance and use policies to enforce mandatory tag assignments. This feature is generally available (GA). For more information, see Create an instance. Feature The Bigtable agent skill (bigtable-basics) is generally available (GA) in the public Google Agent Skills repository. This skill lets you equip AI agents with capabi…
Feature Bigtable supports direct connectivity, which bypasses the Google frontend and optimizes performance for application traffic that meets certain criteria. For more information, see Direct connectivity.
Feature You can create hot backups and modify all backups in Bigtable Studio. For more information, see Manage backups.
Feature You can use the Bigtable Studio explorer to search for all resources except for authorized views and column families. For more information, see Manage your data using Bigtable Studio.
Feature As part of Bigtable Enterprise Plus edition, you can configure a retention period of up to 365 days for backups. This feature is generally available (GA). For more information, see Bigtable backups overview.
Feature You can enable row-affinity routing for a standard app profile in the Google Cloud console. For more information, see Create a standard app profile.
Feature You can use Aerospike migration tools to migrate data from Aerospike to Bigtable with minimal or zero downtime. This feature is available in Preview. For more information, see Migrate Aerospike to Bigtable.
Feature You can use Bigtable agent skills to let AI agents assist with Bigtable-related tasks, such as schema design, generating SQL queries, and infrastructure management.
Feature You can use window functions with GoogleSQL in Bigtable to perform advanced analytic operations over multiple table rows. This feature is generally available (GA). For more information, see Window functions.
Feature The Bigtable editions feature is generally available (GA). Bigtable editions introduces advanced features in performance, analytic query capability, and resource management. You can choose between the Enterprise and Enterprise Plus edition to select the right capabilities for your workloads. For more information, see Editions overview. Feature Bigtable provides an in-memory tier as part of…
Feature You can use the Database Insights remote MCP server to analyze Bigtable's performance and system metrics. This feature is generally available (GA). Feature Bigtable continuous materialized views are generally available (GA). These views let you create precomputed tables that Bigtable automatically keeps in sync with your source data for low-latency queries and real-time insights. Feature B…
Feature You can stream messages from Pub/Sub directly to a Bigtable table using Bigtable subscriptions. This feature lets you write streaming messages to Bigtable without needing a separate subscriber such as Dataflow. This feature is available in Preview.
Feature Dataplex Universal Catalog is now called Knowledge Catalog. The API, client library, CLI, and Identity and Access Management (IAM) names remain unchanged. For more information about how Bigtable metadata interacts with Knowledge Catalog, see Manage data assets using Knowledge Catalog.
Feature You can now use GoogleSQL geography functions to work with geospatial data in Bigtable. This feature is generally available (GA). For more information, see Work with geospatial data and Geography functions reference. Feature Bigtable supports pipe syntax, an extension to GoogleSQL that lets you build simpler and more concise queries. This feature is generally available (GA).
Feature 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.
Feature 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). Feature 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, con…
Feature You can view the details of Bigtable continuous materialized views in the Google Cloud console.
Announcement Bigtable client for Java has modernized its Admin API. For detailed migration steps and code examples, see Upgrading client libraries.
Feature 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.
Feature 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.
Announcement 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. F…
Feature 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.
Breaking 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).
Libraries Java2.72.0 (2026-01-30) Features Add GcRuleBuilder for safe GC rule construction (#2758) (4a99a8c) Handle StatusRuntimeException in CbtTestProxy, increase inbound message / metadata size (#2763) (3e27d28) Regenerate protos using protoc 4 Bug Fixes deps: Update the Java code generator (gapic-generator-java) to 2.66.0 (ca24007) Dependencies Update dependency com.google.cloud:sdk-platform-j…
Feature 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.