Announcing On-Demand Compute: Instant compute for your most intensive workloads

UpdateSep 10, 2026VerifiedAdded Sep 22, 2026

ClickHouse On-Demand Compute lets you scale individual queries with additional workers, run intensive workloads without disrupting production, and use compute when you need it.

Read ClickHouse's release notes

https://clickhouse.com/blog/on-demand-compute

Summaries of vendors' own notes. Product names and logos belong to their owners; logos via logo.dev.

More ClickHouse releases

ClickHouseSep 10, 2026

ClickHouse release 26.8

ClickHouse 26.8 LTS introduces background queries, pipelined SQL, new text tokenizers, expanded data lake integrations, and faster Parquet, aggregation, and join queries.

UpdateSQLData integrationPerformanceSource

ClickHouseSep 10, 2026

Introducing WalShadow: Sub-second Postgres replication to ClickHouse from physical WAL

WalShadow replicates Postgres data directly from physical WAL into ClickHouse, delivering around 200 ms latency and 289,000 rows per second in benchmarks.

UpdateData integrationPostgresPerformanceSource

ClickHouseSep 10, 2026

ClickHouse is a launch partner for the Data agent in ChatGPT Work

ClickHouse joins the Data agent in ChatGPT Work, connecting ClickHouse Cloud to natural-language queries, reports, and interactive dashboards.

UpdateAI agentsBISource

ClickHouseSep 9, 2026

Announcing ClickHouse Managed Postgres on Google Cloud

ClickHouse Managed Postgres is expanding to Google Cloud, bringing NVMe-backed storage, native CDC into ClickHouse, and a unified query layer via pg_clickhouse to GCP private preview customers.

UpdateSQLStreamingPostgresSource

ClickHouseSep 8, 2026

Introducing chdb Postgres extension: High-performance imports from cloud storage

The chdb Postgres extension brings fast imports and exports across cloud storage platforms and data formats, powered by the embedded ClickHouse engine.

UpdatePostgresPerformanceSource

ClickHouseSep 15, 2026

Introducing ClickHouse's new TimeSeries Engine: Your drop-In Prometheus replacement

ClickHouse PromQL support lets you store Prometheus metrics in ClickHouse Cloud, query them using familiar PromQL, and bring metrics together with your logs and traces without rewriting queries in SQL.

UpdateSQLObservabilitySource

ClickHouseSep 15, 2026

Replica-aware routing public beta

Temporary tables and named sessions live on a single ClickHouse replica, so a follow-up query routed elsewhere can't see them. Replica-aware routing pins your requests to the same replica over HTTP or the native protocol , and here's how we built it.

BetaSQLSource

ClickHouseSep 16, 2026

ClickHouse is now available on the dbt platform

The ClickHouse adapter for dbt v2 is in public beta, powered by dbt’s Rust engine. ClickHouse also joins the dbt platform in private beta, supporting open-source ClickHouse and ClickHouse Cloud.

BetaSource

Also shipped on Sep 10, 2026

Google Cloud BigQuerySep 10, 2026

BigQuery conversational analytics adds ML.CORRELATION in preview

Conversational analytics can now use ML.CORRELATION to calculate statistical correlations between a target column and one or more metric columns in a table.

PreviewSQLSource

Google Cloud BigQuerySep 10, 2026

BigQuery ML.METRICS evaluates predictions without a stored model

The preview ML.METRICS function computes classification or regression evaluation metrics on any table or query with actual and predicted values, with no need to create or reference a stored model.

PreviewSQLGovernanceObservabilitySource

Google Cloud BigQuerySep 10, 2026

You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data

You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data. This feature is in Preview .

PreviewSource

Google Cloud BigQuerySep 10, 2026

BigQuery Data Engineering Agent integrates with BigQuery Graph

The Data Engineering Agent now uses BigQuery Graph for extra context between source and destination schemas, improving schema mapping accuracy in data engineering pipelines. It is generally available.

GAAI agentsSQLData integrationSource

Snowflake SnowflakeSep 10, 2026

Using dbt artifacts for Slim CI and defer to production in dbt Projects on Snowflake (General availability)

Slim CI, defer to production, failed-execution recovery, and concurrent execution are now generally available for dbt Projects on Snowflake. Reuse dbt artifacts from recent production executions to accelerate development, streamline CI/CD workflows, and recover from failed production runs without maintaining a separate artifact store.

GAStreamingSource

Snowflake SnowflakeSep 10, 2026

External secret providers (Preview)

External secret providers are now in preview. If your organization already keeps API keys, database passwords, and similar values in AWS Secrets Manager, Azure Key Vault, or Google Cloud Secret Manager, Snowflake can read those values when a query needs them, so you don't have to maintain a second copy in a Snowflake secret .

PreviewSQLSecurityDeveloper toolsSource