Releasesby GlyphTableflow client-side field level encryption (Limited Availability)
Materialize topics with encrypted fields into Iceberg or Delta Lake tables, storing tagged fields as plaintext if you share the key or as ciphertext if you keep it private.
Also shipped Jun 26, 2026Confluent in June 2026 →
SQL queries as logical tables in semantic views (General availability)
You can now use an SQL query (rather than a physical table) as a logical table in a semantic view. This lets you define logical tables based on joins, transformations, or any SQL expression without creating a separate view first.
Support for variables in semantic views (General availability)
You can now define variables in a semantic view to parameterize facts, dimensions, and metrics. Variables let you customize calculations at query time without changing the view definition. Define variables when you create a semantic view using the VARIABLES clause in the CREATE SEMANTIC VIEW command, or by adding a variables key in the YAML specification .
Microsoft Dynamics 365 connector (GA)
The managed Microsoft Dynamics 365 connector in Lakeflow Connect is now generally available. The connector allows you to ingest CRM and ERP data from Dynamics 365 into Databricks using Azure Synapse Link. See Microsoft Dynamics 365 connector .
Metric view parameters are now in Public Preview
You can now define parameters in metric views to bind values at query time, serving many query variants from a single definition instead of maintaining a separate metric view per variant. See Use parameters with metric views .
Databricks Runtime 19 (Beta): June 26, 2026
Behavioral changes Environment variable availability restricted in standard access mode : In standard access mode , only a predefined set of environment variables is available to the Spark engine and init scripts.
Previewing GPT-5.6 Sol: a next-generation model
OpenAI previews GPT-5.6 Sol, a next-generation model with stronger capabilities in coding, science, and cybersecurity, paired with its most advanced safety stack.
More from Confluent CloudEvery Confluent Cloud release →
HTTP Source V2 connector supports schema evolution
The HTTP Source V2 connector supports the EVOLVE schema enforcement mode, requiring AVRO or JSON_SR output and TopicNameStrategy.
OpenSearch Sink connector adds configurable input key format
The OpenSearch Sink connector adds input.key.format, and for INSERT you can use the Kafka record key as the document _id.
Flink UDF external connectivity generally available
UDFs can call external systems such as REST APIs through Connection objects bound with USING CONNECTIONS. Public endpoints on AWS, Azure, Google Cloud; private endpoints on AWS only.
Flink Python UDFs generally available on AWS
Python UDFs are GA on AWS, including vectorized scalar functions that process rows in batches as pandas.Series.
Flink Process Table Functions generally available
PTFs provide managed state, state TTL, event-time timers, and multi-table inputs. This release adds changelog mode via the SUPPORT_UPDATES trait.
USM monitors Confluent Platform Kafka Streams applications
Monitor Kafka Streams throughput, consumer lag, end-to-end latency, and thread state in USM. Requires Confluent Platform 8.2.2+ or 8.3.0+ in KRaft mode.
Connector secret manager integration supports Google Cloud Secret Manager
Confluent Cloud can fetch connector secrets at runtime from Google Cloud Secret Manager, removing the need to persist secrets within Confluent's boundary.
Schema Registry reachable over Private Network Interface on AWS
If you use PNI for Enterprise or Freight clusters, you can reach Schema Registry over the same PNI connection without a separate PrivateLink.