ClickHouse
The data platform powering the AI era. Speed, scale, and cost-efficiency - without compromise. clickhouse.com/cloud
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Overview
ClickHouse is a fast, open-source columnar database built for real-time data processing and analytics at scale. ClickHouse Cloud delivers the query speed and concurrency that applications demanding instant insight from large volumes of data require. As AI agents become more embedded in software, generating higher query volumes at tighter latency, ClickHouse provides a high-throughput, low-latency engine purpose-built for that workload.
The company's platform supports use cases including real-time analytics, observability, data warehousing, and machine learning and generative AI workloads such as vector search. For observability, it offers ClickStack, an open-source stack for storing and querying logs, metrics and traces. Customers named by the company include Sony, Lyft, Cisco, GitLab, Tesla and Anthropic.
ClickHouse Cloud is available on AWS, GCP and Azure and through their marketplaces, while the open-source server can be self-managed at no cost. ClickHouse Local runs queries on local files such as CSV, TSV and Parquet without a server. The database uses compression and vectorized query execution, works with SQL, and offers more than 100 integrations for data ingestion, visualization and language clients.
Funding rounds
Disclosed funding: $1.15B across 8 rounds. Latest: Series D, 16 Jan 2026.
3 rounds have an undisclosed amount, not included in the total.
| Date | Type | Amount |
|---|---|---|
| 16 Jan 2026 | Series D | $400M |
Office locations
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Latest videos from ClickHouse on YouTube
Why Harry Stebbings is betting on ClickHouse
Quick Start on ClickHouse: From Schema to Streaming Data
26.10 ClickHouse Release Call
ClickHouse Managed Postgres
Recent posts from the ClickHouse blog
- Introducing the (blazing fast!) native TCP client for.NET
ClickHouse’s new native TCP client for.NET brings faster reads and inserts with fewer allocations, columnar APIs, POCO support, and a path to migrate from HTTP.
- OLTP is expensive, you can ClickHouse it.
Offload settled Postgres data to ClickHouse to reduce storage and query costs while keeping active transactions in Postgres.