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Accelerate your data lake with ClickHouse

ClickHouse brings high concurrency, low latency analytics and unlocks your data lake for AI driven access across multiple data sources without lock in.

  • Point ClickHouse at any catalog, on any cloud, and query with full SQL.
  • Accelerate into MergeTree for sub-second, high-concurrency analytics.
  • Write results back to open formats so every tool in your stack can use them.
  • Federate across multiple catalogs and JOIN datasets using the same engine.

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metatrusted by ebaytrusted by microsofttrusted by spotifytrusted by lyfttrusted by hubspotlangchain logo 1instacart logo 1trusted by contentsquaretrusted by ciscotrusted by nginxtrusted by cloudflaretrusted by rokttrusted by fiskertrusted by trackingplantrusted by adevintatrusted by ibmtrusted by gitlabtrusted by muxtrusted by netapptrusted by servicenowtrusted by posthogweights and biases fulltrusted by deutsche bankvimeo logo userstoriesklaviyo blacknansenpoolsidetrusted by sonyblock logo black minvercelrampcognitivtrusted by statsigdidiprefect logocursortrip com logo 1sierrashopee logo 1commonroom logoteckion logo 1whatnotfastly carouselastonomer d6b1876f31corsearch logoupollo 1ampelectrumspotonmskcc 159a51fd5dazur gamesvantage logo blacksolarwinds 76ad8bad7flongbridge logo a5b9c10d39harvey d075e8174crbc logopoizon c9aa5431c5rea logo 830fcadc53anthropic smallcharacter 3a9027ce90

Query in place, at speed

Query Iceberg, Delta Lake, or Parquet data directly on S3, GCS, or Azure without moving it.

Fast native Parquet reads, data caching, and smart use of file metadata to minimize IO. Scale on one machine or distribute across nodes with standard SQL.

Any catalog, any cloud, no lock-in.

One query engine for every catalog on any cloud

ClickHouse is catalog and cloud-agnostic, working across main object storage vendors, table formats, and metastore services without lock-in.

Connect to your catalog, exposing it as just another database. Federate queries across catalogs, join datasets across clouds, and run a single SQL layer on top of your entire data lake ecosystem.

Supported catalogs

  • AWS Glue Catalog

  • Unity Catalog

  • Micrsoft Onelake

  • Lakekeeper

  • Project Nessie

  • Google Big Lake

  • Apache Polaris

View all catalogs ->->

Why choose ClickHouse to power your data lake?

lightning

Faster explorations on open data formats

Run interactive, federated queries directly on open table formats with industry leading Parquet performance backed by Benchmarks and full SQL support.

guage

Real time acceleration when it's needed

Load data into ClickHouse's MergeTree for your use facing analytical workloads which need sub second queries and high concurrency at scale.

sparkles

AI powered workloads

Enable AI powered workloads on your data lake with low latency, high concurrency, and seamless federation across catalogs and data sources.

unlock

Always Open. No Lock In.

Query data where it lives and write results back in open formats to preserve interoperability across your ecosystem.

Bring real-time analytics to your data lake

Data lakes are built for openness and scale. But if you need sub second latency and high concurrency, you need ClickHouse.

Use ClickHouse as your hot performance layer by loading data from open table formats into ClickHouse’s MergeTree. Alternatively, ingest directly into ClickHouse with high write throughput and automatic merging.

Power user facing and performance critical workloads with ClickHouse’s MergeTree engine, leverage sparse primary indices, advanced skip indices, materialized views, and rich types such as JSON to accelerate complex queries.

Offload data back to open table formats for long term storage while preserving interoperability.

Export data from ClickHouse to power reverse ETL workflows, or persist long term computed aggregates for downstream systems and broader consumption

Unlock your data lake with AI

ClickHouse provides the performance layer that makes low latency, highly concurrent AI experiences possible. Interact with your data lake tables using LLMs without moving your data or writing SQL.

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  • Talk to your data using ClickHouse MCP server and LibreChat integrations

  • Build and share no code, specialized agents across your team or with customers

  • Create charts, visualizations, and dashboards directly from conversations

  • Save and share chats and generated artifacts securely

Build AI powered analytics experiences on top of your data lake while keeping your data open, interoperable, and exactly where it lives.

Scale your data lake with ClickHouse Cloud

ClickHouse Cloud separates compute and storage by design, giving you independent control over performance and cost.

Scale vertically to use every core and resource on a machine, or add horizontal compute instantly to accelerate demanding workloads with the click of a button.

When queries stop running, compute idles so you only pay for what you use. Flexible compute for the performance you need.

Data lakes

AWS GlueUnity CatalogMicrosoft OnelakeLakekeeperProject NessieGoogle Big LakeApache Polaris

Catalog connectivity made simple with ClickHouse Cloud

ClickHouse Cloud makes connecting to your data lake catalog a matter of a few clicks.

Securely connect to your catalogs with guided UI workflows, with no complex setup required.

Instantly expose databases and tables as native ClickHouse tables and start querying with full SQL support.

Stay open.
Stay interoperable.

Write results back to open table formats to keep your data portable and ecosystem friendly.

Store aggregations, curated subsets, or transformed datasets in Iceberg, Delta, and other open formats for long term storage, sharing, or reverse ETL workloads.

Use refreshable materialized views to offload data automatically, ensuring ClickHouse accelerates your data lake without creating silos or lock in.

Learn about ClickHouse with data lakes

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YouTube Video: an8ekiH47VQ
YouTube Video: 5fRcMByUrlY

Looking for a hosted solution?
Get started with ClickHouse Cloud

We’ll get you started on a 30 day trial and $300 credits to spend at your own pace.