Connector secret manager integration supports Google Cloud Secret Manager

UpdateJun 29, 2026VerifiedAdded Sep 22, 2026

Confluent Cloud can fetch connector secrets at runtime from Google Cloud Secret Manager, removing the need to persist secrets within Confluent's boundary.

Security Data integration

Read Confluent's release notes

https://docs.confluent.io/cloud/current/release-notes/index.html#june-29-2026

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More Confluent Cloud releases

Confluent CloudJun 29, 2026

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.

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Confluent CloudJun 30, 2026

Custom SMTs on Basic, Standard, and public Dedicated clusters

Custom Single Message Transformations are now available for fully managed connectors on Basic, Standard, and public Dedicated clusters in all supported regions.

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Confluent CloudJun 30, 2026

PostgreSQL and MySQL connectors support mTLS authentication

The fully managed PostgreSQL Source and Sink and MySQL Source and Sink (JDBC) connectors now support mutual TLS authentication.

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Confluent CloudJun 30, 2026

Kafka clients on librdkafka v2.15.0

Updated Python, JavaScript, .NET, Go, and C/C++ clients add IBM Z (s390x) support, .NET 10 support, security hardening, and Queues for Kafka for Python in preview.

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Confluent CloudJun 30, 2026

AWS IAM authentication plugins for Python and .NET clients

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Confluent CloudJul 2, 2026

Release priority for Dedicated clusters

Dedicated clusters with Premier support or higher can enable release priority to receive updates before non-test clusters.

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Confluent CloudJun 26, 2026

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.

UpdateData integrationSource

Confluent CloudJun 26, 2026

Tableflow 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.

PreviewSecurityApache IcebergDeveloper toolsSource

Also shipped on Jun 29, 2026

Snowflake SnowflakeJun 29, 2026

Dynamic Iceberg table replication (General availability)

Snowflake now supports replication of dynamic Iceberg tables as part of replication and failover groups. Previously, dynamic Iceberg tables were skipped during replication refresh operations. For more information, see Configure replication for Snowflake-managed Iceberg tables .

GAData integrationApache IcebergSource

Databricks Databricks SQLJun 29, 2026

Databricks SQL version 2026.20 is now available in Preview

Databricks SQL version 2026.20 is now available in the Preview channel. Review the following section to learn about new features, behavioral changes, and bug fixes.

PreviewSQLGovernanceObservabilitySource

Databricks LakeflowJun 29, 2026

SQL alert task in Lakeflow Jobs is now generally available

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GASQLStreamingSource

Databricks Unity CatalogJun 29, 2026

Govern LLMs in Unity Catalog with model services (Beta)

You can now govern Databricks-hosted LLMs in Unity Catalog using model services , currently in Beta. A model service is a Unity Catalog securable that represents a governed LLM endpoint, so you can define an endpoint once and share it across workspaces using Unity Catalog privileges, instead of duplicating endpoints per workspace.

BetaLLMsGovernanceObservabilitySource

Databricks Databricks Data Intelligence PlatformJun 29, 2026

Custom Docker images for AI Runtime CLI workloads (Beta)

You can now bring your own Docker container image to AI Runtime CLI ( air ) workloads. This feature is in Beta . Use a custom image when you need specific system library versions, complex dependencies, or a reproducible environment. See Use custom Docker images .

BetaDeveloper toolsSource

Databricks Databricks Data Intelligence PlatformJun 29, 2026

Parquet v2 for Delta Lake tables is generally available

Parquet v2 is now generally available for Delta Lake tables in Databricks Runtime 18.1 and above. Parquet v2 uses advanced encodings, v2 data page headers, and INT64 timestamps to improve query performance and reduce table sizes. To use, set the delta.parquet.format.version table property to 2.12.0 or enable automatic upgrades.

GASQLPerformanceSource