Databricks Runtime 19: November 9, 2026
Bug fixes Fix real-time mode reservation liveness and occupied-slot accounting when tasks execute through Aether.
Also shipped Nov 9, 2026Databricks in November 2026 →
The following AlloyDB AI features and improvements are generally available ( GA ): - Smart batching for AI...
The following AlloyDB AI features and improvements are generally available ( GA ): Smart batching for AI functions: AI function acceleration is generally available for ai.if , ai.rank , ai.analyze_sentiment , ai.summarize , ai.extract , ai.classify , and ai.generate on AlloyDB clusters running PostgreSQL 17 and later.
To support your FinOps practices, you can now opt in to compute cost attribution in BigQuery editions
To support your FinOps practices, you can now opt in to compute cost attribution in BigQuery editions. This feature attributes billed compute charges directly to the query projects that use your administration project's reservation capacity.
Query performance troubleshooting and job and system performance comparison in the BigQuery jobs explorer are...
Query performance troubleshooting and job and system performance comparison in the BigQuery jobs explorer are generally available (GA). For more information, see Troubleshoot job performance and Diagnose performance regressions by comparing jobs and systems .
When you create or schedule a pipeline, you can specify the maximum number of concurrently executed pipeline...
When you create or schedule a pipeline, you can specify the maximum number of concurrently executed pipeline tasks. This feature is generally available (GA).
You can use compression functions in GoogleSQL to compress or decompress bytes or string values by using the...
You can use compression functions in GoogleSQL to compress or decompress bytes or string values by using the Zstandard (Zstd) lossless data compression algorithm. The following functions are supported: ZSTD_COMPRESS ZSTD_DECOMPRESS_TO_BYTES ZSTD_DECOMPRESS_TO_STRING These functions are in Preview .
Fast mode for Anthropic Claude models is generally available
Fast mode for supported Anthropic Claude models, starting with Claude Fable 5.2 ( claude-fable-5-2 ), is available in General Availability (GA) . You can set "speed": "fast" in online pay-as-you-go prediction requests to accelerate output token generation for latency-sensitive agentic workflows.
More from Databricks Data Intelligence PlatformEvery Databricks Data Intelligence Platform release →
Zhipu AI GLM 5.2 is scheduled for retirement
Zhipu AI GLM 5.2 is deprecated and will be retired on February 4, 2027. GLM 5.3 is the recommended replacement. See Legacy, deprecated, and retired models for migration guidance.
Allow partner platforms in context-based ingress policies
Databricks updated context-based ingress policies to allow traffic from Power BI, Tableau Cloud, dbt Cloud, and Genie apps for Slack and Microsoft Teams. This allows users to manage access without tracking individual IP addresses.
DeepSeek V4 Flash (0731) is retired
Databricks retired the DeepSeek V4 Flash (0731) model. Users are advised to migrate to DeepSeek V4.1 Flash (1017).
Databricks Runtime 19: November 2, 2026
New features and improvements ALTER SHARE ADD/ALTER VIEW now accepts WITH HISTORY and WITHOUT HISTORY ; existing history defaults are unchanged. Library and environment updates Updated Python libraries: pytz from 2025.2 to 2026.5 tzdata from 2026.2 to 2026.5
Simba JDBC Driver (Legacy) 2.8.7 is available
Simba JDBC Driver (Legacy) 2.8.7 updates jackson-core , jackson-databind , and jackson-datatype-jsr310 to 2.21.8. Download it from the JDBC drivers archive under All JDBC Driver Versions (Simba) .
Moonshot AI Kimi K2.7 is retired
Moonshot AI Kimi K2.7 has been retired. Kimi K3 is the recommended replacement model.
Thinking Machine Labs Inkling is retired
Thinking Machine Labs Inkling has been retired. GLM 5.3 or Kimi K3 are recommended as replacements.
DeepSeek V4 Pro (0813) is retired
DeepSeek V4 Pro (0813) has been retired. DeepSeek V4.1 Flash (1017) is the recommended replacement.