Automatic memory-tuning for all dbt v2 runs

UpdateJuly 2026VerifiedAdded Sep 22, 2026

Memory-tuning optimizations are applied automatically to all dbt v2 runs, reducing out-of-memory kill rates.

https://docs.getdbt.com/docs/dbt-versions/release-notes#july-2026

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dbt platformJuly 2026

dbt Wizard home tab in public preview

The dbt Wizard home tab in the dbt platform is in public preview, for building and changing dbt projects through natural language with inline diffs, DAG previews, and validation.

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dbt platformJuly 2026

dbt State usage page splits daily active target tables into billable and free

The dbt State usage page shows daily active target tables (DATTs) split into Billable and Free, and all DATTs count as free during a trial.

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dbt platformJuly 2026

dbt MCP server consolidates into get_node_details tool

The dbt MCP server uses one get_node_details tool for all resource types. The older type-specific tools are deprecated and will be removed.

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dbt platformJuly 2026

Job deactivation banner shows specific reason

When a job is deactivated, the banner shows a specific reason such as repeated run failures or account inactivity, with tailored reactivation instructions.

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dbt platformJuly 2026

Agent retries transient LLM provider failures with backoff

The agent automatically retries transient LLM provider failures such as timeouts, rate limits, and server errors with exponential backoff.

UpdateAI agentsLLMsSource

dbt platformJuly 2026

Client tool loops no longer capped at 50 iterations

Client tool loops now run until the agent finishes rather than stopping after 50 iterations.

UpdateAI agentsSource

dbt platformJuly 2026

MCP get_lineage direction parameter and list_metrics meta_filter

get_lineage accepts a direction parameter (upstream, downstream, or both) and returns node descriptions. list_metrics accepts a meta_filter to restrict results by config.meta key-value pairs.

UpdateMCPStreamingGovernanceSource

dbt platformJuly 2026

Discovery API health filter and warn run status

ModelAppliedFilter includes a health field for filtering applied models by health status, and RunStatus and lastRunStatus now include warn.

UpdateDeveloper toolsSource

Also shipped on Jul 1, 2026

Fivetran FivetranJuly 2026

Fivetran Context Layer is in public preview

Context Layer builds a context layer from documentation sources, systems of record and analytical sources, then connects it to an organization's AI coding and chat tools.

PreviewDeveloper toolsSource

Fivetran Fivetran connectors and Connector SDKJuly 2026

Fivetran sunsets the AVEVA PI and Delighted connectors

New AVEVA PI and Delighted connections are blocked from July 1, 2026. Existing AVEVA PI connections stop syncing July 23, 2026, and Delighted connections are paused after the Delighted API deprecation.

DeprecationData integrationDeveloper toolsSource

Fivetran FivetranJuly 2026

Fivetran Move a Connection REST API endpoint enters beta

A new beta endpoint moves connections from one destination group to another.

BetaDeveloper toolsSource

Snowflake SnowflakeJul 1, 2026

Workload identity federation for Snowflake workloads that access external services (General availability)

Snowflake can now act as the OpenID Connect (OIDC) provider when Snowflake workloads authenticate to external services. To use this capability, create a secret of type WORKLOAD_IDENTITY_FEDERATION and share its issuer URL and subject identifier with the external service to establish trust.

GASecuritySource

Databricks LakeflowJul 1, 2026

Veeva Vault connector (Beta)

The Veeva Vault connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector uses Veeva's Direct Data API to ingest all standard objects, custom objects, system tables, and audit trail tables from your Vault instance into Databricks.

BetaSecurityData integrationDeveloper toolsSource

Databricks LakeflowJul 1, 2026

MySQL integrated CDC pipeline is now in Beta

The integrated CDC pipeline for MySQL is now in Beta . An integrated CDC pipeline ingests change data from MySQL into Databricks using a single pipeline, combining extraction and application into one pipeline update. Unlike the standard gateway-based architecture, an integrated CDC pipeline requires no separate ingestion gateway.

BetaStreamingData integrationSource