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- ClickHouse + Databricks
Unlock real-time analytics on Databricks
Make real-time analytics on Databricks faster and more cost-efficient. Move data effortlessly from Databricks to ClickHouse with one line of SQL.
- Sub-second at scale: Accelerate for high-concurrency analytics, at over 1,000+ QPS per node
- Query the data lake directly: Integrated with Unity Catalog, query your Iceberg and Delta tables directly without moving data
- End-to-end real-time: Low latency from ingest to query with high throughput
- Powerful Indexing: Efficient search with advanced indexing for across Primary Key (PK), Full-Text Search (FTS), and vectors
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See how it works
Connect to your catalog, including Unity, and query your tables natively in ClickHouse. Federate queries across catalogs, join datasets across clouds, and unify your entire data lake ecosystem behind a single SQL layer.
ClickHouse is catalog agnostic and cloud neutral, working across object storage, table formats, and metastore services without lock-in.
Ingest data for optimal performance with sub-second latency
For your hottest, highest-concurrency workloads, replicate data from Delta Lake or Iceberg into ClickHouse with a single line of SQL. Get sub-second latency, advanced indexing, incremental materialized views, and 1,000+ QPS per node, on the same data you already manage in Databricks.
- Real-time ingest: Stream directly from Delta Lake or Iceberg. <1s end-to-end, with dedicated ingest resources.
- Advanced indexing: Powerful indexing to unlock efficient search across primary keys, full text and vector search.
- Incremental materialized views: Materialized views update on every insert consistently instead of scheduled refresh.
- Write back to open formats: Persist results in Iceberg / Parquet so Databricks (and the rest of your stack) keeps consuming the same open data.
Query directly through Unity Catalog with no data movement
For exploration, ad-hoc analytics, and federated queries, point ClickHouse at Unity Catalog and query Delta Lake or Iceberg tables directly. No data movement. Same governance.
- Connect in a few clicks: Securely register Unity Catalog from the ClickHouse Cloud UI.
- Full SQL on Delta Lake and Iceberg tables: Read Delta Lake and Iceberg natively. Tables governed by Unity Catalog show up as native ClickHouse tables.
- Federate across catalogs: Join Unity Catalog tables with Glue, Polaris, Nessie, OneLake, BigLake, or even ClickHouse with the same SQL layer.
- Zero ETL: No pipeline to maintain. The lake stays the source of truth with the same Databricks governance.
Why ClickHouse for real-time analytics
What it takes to deliver low-latency, high-concurrency analytics on top of Databricks, and how ClickHouse delivers each one.
Synchronous & asynchronous Materialized Views
Materialized views update on every insert with full SQL instead of scheduled refresh or minute-floor freshness. Analytics stay accurate at the moment of read.
High-concurrency inserts
Consensus-based ingest keeps tail latencies bounded as writers scale. No performance degradation with continuous load, with ingestion running on separate resources from reads.
Low-latency, high-concurrency queries
Sub-second queries at 1,000+ QPS per node. Built from day one for user-facing analytics and bursty agentic concurrency, not retrofitted onto a batch engine.
Powerful indexing designed for speed
Specialized indexing structures accelerate analytical workloads. Primary key indexes, full-text search indexes, and vector indexes help queries stay fast across structured, unstructured, and embedding data.
Rich data types & granular ingestion flows
Native support for JSON, strings, dates, times, and complex schemas. Fine-grained controls determine how data is ingested, transformed, enriched, and stored in flight.
Fast on cold and hot data
Production-grade performance on newly arrived and historical data alike. Queries stay fast without relying solely on pre-warmed caches or specialized storage tiers.
Unlock your data lake with AI
ClickHouse provides a unified performance layer across your data lake for your AI agents. Interact with data across clouds, catalogs, and table formats using LLMs without moving data or writing SQL.
- Talk to all your data through ClickHouse MCP Server and LibreChat, wherever it resides
- 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.
Learn about ClickHouse with data lakes
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