Releasesby GlyphCloud Console idle session timeout raised to two hours
The idle session timeout increases from 30 minutes to two hours, measured by console interaction. The eight-hour maximum session length is unchanged.
Also shipped Aug 19, 2026Confluent in August 2026 →
Data movement policies (General availability)
With this release, data movement policies are now generally available for Enterprise Edition (or higher). Data movement policies are part of Snowflake’s data exfiltration protection controls. These SQL-style conditional policies can help you limit, alert on, or block data movement operations based on specific movement types.
Organization Features in Organization Command Center (Preview)
Organization Features is now in preview in Organization Command Center. From the organization account, a user with the GLOBALORGADMIN role can open Organization Hub » Command center , then the Organization Features tile, to see which organization-level capabilities are enabled. In preview, the main control is premium views for cross-account telemetry.
Organization Command Center 3rd party access configuration (Preview)
3rd party access configuration is now in preview in Organization Command Center. From the organization account, a user with the GLOBALORGADMIN role can open Organization Hub » Command center , then the 3rd party access configuration tile, to classify member accounts as internal or external, set the default tenant type for new accounts, and maintain allowed...
Role-based access control (RBAC) is generally available
Role-based access control (RBAC) is now generally available. RBAC lets users assume a role in Databricks. When a user assumes a role, only that role's permissions apply, rather than the user's accumulated permissions. This enables exclusive access.
ai_extract precision mode is now generally available
You can now use ai_extract precision mode for advanced extraction workloads, including multi-page documents, schemas with 50 or more fields, many extracted items per document, and complex conditional field logic. See ai_extract function .
[Launched] Generally Available: Azure Databricks Lakebase in four additional regions
Lakebase is now generally available in four additional Azure regions: North Central US, France Central, Germany West Central, and East Asia. This expansion provides customers with additional deployment options and broader regional availability for Lakebas
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Secret manager integration adds HTTP V2 and Oracle XStream connectors
Secret manager integration now extends to the HTTP Sink V2, HTTP Source V2, and Oracle XStream CDC Source fully managed connectors.
New in Confluent Cloud and WarpStream: Evolving the Data Streaming Platform for AI, Scale, and Control
Accelerate enterprise streaming and AI workloads with new product updates across Kora, connectors, Flink, Tableflow, AI anomaly detection and forecasting, security enhancements, and Warpstream.
New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Confluent Assistant
Explore new AI features and AI tools: support for IBM Granite Time Series models and TimesFM models (EA), enhanced Real-Time Context Engine experience, new Agent Skills, Confluent Assistant
Confluent Cloud for Apache Flink: Engine for Mission-Critical, Real-Time Operational Systems and dbt/SQL-Native Home for Data Science and AI
Flink now acts as a robust engine for developers through Table API, UDFs, and PTFs while offering a SQL-native, dbt-integrated platform for data science and AI teams.
Baseline CFU for Flink statements (Limited Availability)
Set a best-effort minimum scaling target for an individual Flink statement; Autopilot keeps the statement at or above it. Configurable in Console or the Flink SQL REST API.
Lightning queries for Real-Time Context Engine data (Early Access)
Query the data the Real-Time Context Engine serves to AI agents directly through an API, without an agent, by reading the materialized table Confluent maintains for a topic.
AI_FORECAST and AI_DETECT_ANOMALIES support IBM Granite time-series models
The built-in functions now support IBM Granite TTM, FlowState, and PatchTST-FM models as an Early Access Program feature, alongside Google TimesFM 2.5.
Flink FROM_CHANGELOG and TO_CHANGELOG functions generally available
Built-in changelog conversion functions read custom-format change data into queryable tables and turn updating tables back into append-only streams, with user-mapped operation codes and no UDFs required.