Releasesby Glyph1.95.0 (2026-11-02)
Bug Fixes spanner: attach routing hints to read-write transaction requests ( #14786 ) ( 54e0585 ) spanner: cancel queries promptly on close and synchronize error handling ( #14887 ) ( 323a8f7 ) spanner: do not cache retryable errors in AbstractLazyInitializer ( #14752 ) ( 6a9ac76 ) spanner: restore setCall overload for stream test compatibility ( #14885 ) (...
Also shipped Nov 9, 2026Google Cloud in November 2026 →
AWS Glue adds 100 new native connectors for popular SaaS applications
AWS Glue now includes 100 native connectors for SaaS and REST API applications, enabling data integration without custom code. These connectors allow teams to reuse connections across ETL jobs with existing permission models.
Claude Fable 5.2 is now available on AWS GovCloud (US)
Claude Fable 5.2 is now available on AWS GovCloud (US) for regulated customers. It is designed for complex technical tasks in coding, math, and science, with support for long-running autonomous work.
Amazon Bedrock now offers Claude Mythos 5.2 to Eligible Customers in AWS GovCloud (US)
Claude Mythos 5.2 is now available to eligible customers in AWS GovCloud (US) via Amazon Bedrock. The model includes advanced cybersecurity capabilities for vulnerability identification and code analysis.
Introducing an open-source UI for graph analytics over data lakes with Amazon Neptune Analytics
AWS released an open-source solution with a web UI that enables graph analytics over data lakes using Amazon Neptune Analytics. Users can project Iceberg table data into graphs using SQL/PGQ without building custom ETL pipelines.
Amazon Athena introduces system tables for observability, auditing, and usage analytics
Amazon Athena now provides system tables as read-only Iceberg tables on Amazon S3, capturing usage data for observability and auditing. This allows users to query usage metrics directly with SQL without building custom pipelines.
Claude Fable 5.2 is now available on AWS
Claude Fable 5.2 is now generally available on AWS. It is optimized for complex technical projects in software engineering, research, and finance, with capabilities for autonomous, long-running tasks.
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Spanner parameterized views are now generally available ( GA )
Spanner parameterized views are now generally available ( GA ). Parameterized views let you dynamically filter data based on session context parameters passed with queries, helping you isolate tenant data and restrict data access in AI agent and LLM applications. For more information, see Create a parameterized view and Use parameterized views .
Spanner supports equality and ordering comparisons on JSONB and JSON values
Spanner now allows equality and ordering comparisons on JSONB and JSON values directly in GROUP_BY and ORDER BY clauses. It also supports implicit type coercion and search indexes for JSON equality operations.
Spanner Graph supports the following enhancements: - You can create property graphs from SQL views that call...
Spanner Graph supports the following enhancements: You can create property graphs from SQL views that call remote functions ( Preview ) to compute node and edge properties. For more information, see Compute properties with remote functions . You can write simplified queries on schemaless dynamic properties without explicit conversions to SQL data types.
Spanner supports ON DELETE SET NULL foreign key action
Spanner now supports the ON DELETE SET NULL foreign key action for both GoogleSQL and PostgreSQL dialects. This allows referencing columns to be set to NULL when a referenced row is deleted.
1.94.0 (2026-10-22)
Features spanner: add option to create GcpFallbackChannel per channel instead of per pool ( #14501 ) ( 74f7591 ) Bug Fixes spanner: increase max inbound message size from 256MB to 300MB ( #14551 ) ( 70c7439 ) spanner: increase max inbound message size from 256MB to 300MB as ( 70c7439 ) spanner: prevent stream leaks and race conditions on result set close (...
Spanner supports approximate aggregate functions for both GoogleSQL and PostgreSQL dialects
Spanner supports approximate aggregate functions for both GoogleSQL and PostgreSQL dialects. These functions produce statistical estimates of distinct counts, allowing you to compute results faster and save resources on large datasets compared to exact aggregation.
Spanner adds automatic parameterization of SQL query literals
Spanner converts hardcoded literals in CRUD-style queries such as primary key lookups, index lookups and key joins into parameters, so execution plans are cached and reused to cut latency and CPU costs.
Spanner queues are generally available (GA)
Spanner queues are generally available (GA) . Spanner queues provide transactional messaging to help you manage asynchronous work. The feature pairs this capability with the scalability and reliability of Spanner, letting you build event-driven applications. For more information, see the Spanner queues overview .