--- title: Fast Open-Source OLAP DBMS description: ClickHouse is a fast open-source column-oriented database management system that allows generating analytical data reports in real-time using SQL queries --- # The leading database for AI Powering agentic systems with millisecond queries at petabyte scale. - [Start free cloud trial](https://console.clickhouse.cloud/signUp?loc=hero) - [Contact sales](https://clickhouse.com/company/contact?loc=homepage-hero) [Langfuse is now part of ClickHouse. Discover the leading open-source platform for LLM observability, evaluations, and prompt management. Ideal for building, monitoring, and optimizing AI applications at scale.](https://langfuse.com/?utm_source=clickhouse_hero) [Now in Public Beta: ClickHouse Managed Postgres. Run Postgres up to 10X faster, with real-time analytics built-in.](https://clickhouse.com/cloud/postgres?loc=homepage-hero) ClickHouse is trusted by Meta, eBay, Microsoft, Spotify, Lyft, HubSpot, Instacart, Cisco, Cloudflare, IBM, GitLab, ServiceNow, Deutsche Bank, Sony, Vercel, Cursor, Anthropic and many more. ## Built for every modern data challenge ### Real-time analytics Deliver instant insights and dashboards at scale. Analyze billions of rows in real time with millisecond results. [Explore real-time analytics](https://clickhouse.com/use-cases/real-time-analytics) ### Observability Store and query logs, metrics and traces at scale using ClickStack, the open source observability stack powered by ClickHouse. [Explore observability](https://clickhouse.com/clickstack) ### Data warehousing Analyze and explore data instantly for insights and apps. Scale faster by offloading heavy workloads. [Explore data warehousing](https://clickhouse.com/use-cases/data-warehousing) ### ML & GenAI Power machine learning and GenAI with blazing-fast vector search, instant aggregations, and scalable training. [Explore ML & GenAI](https://clickhouse.com/use-cases/machine-learning-and-data-science) ## Build real-time data products that scale Sony, Lyft, Cisco, GitLab and many more choose ClickHouse Cloud for its scale, efficiency, and ease of use. > “ClickHouse played an instrumental role in helping us develop and ship Claude 4.” > > — Anthropic > “ClickHouse checked every box. We have availability, we have speed, we have durability. We have everything we could want.” > > — Tesla > “We needed something to slice and dice real-time data, like rides and driver hours across cities and regions where Lyft runs. Using ClickHouse resulted into a lot of performance benefits for us with huge cost savings for the org.” > > — Lyft [View all use cases](https://clickhouse.com/use-cases) ## Why ClickHouse? ClickHouse is the fastest and most resource efficient real-time data warehouse and open-source database. ### Blazing fast Ultimate query performance that your mission-critical and time-sensitive applications can depend on. ### Developer friendly Built to ensure that even the most sophisticated data analysis can be done intuitively, using simple SQL. ### Cost effective Best-in-class compression ratios that reduce storage and accelerate performance. - [Open Source](https://clickhouse.com/clickhouse) - [Secure, compliant](https://trust.clickhouse.com/) - [Resource optimized](https://clickhouse.com/docs/get-started/about/why-clickhouse-is-so-fast) - [Proven at scale](https://clickhouse.com/user-stories) - [100+ integrations](https://clickhouse.com/integrations) Get started in a few minutes with a [free cloud trial](https://console.clickhouse.cloud/signUp?loc=why-clickhouse). ## Seamlessly integrate with your stack Choose from our growing ecosystem of integrations for data ingestion, visualization, language clients, and more. ## Why is ClickHouse so fast? Column-oriented databases are better suited to OLAP scenarios. They are at least 100x faster in processing most queries. ClickHouse uses all available system resources to their full potential to process each analytical query as fast as possible. ### Row-oriented databases In row-oriented databases, data is stored in rows, with all the values related to a row physically stored next to each other. ### Column-oriented databases In column-oriented databases, like ClickHouse, data is stored in columns, with values from the same columns stored together. [Read more in the docs](https://clickhouse.com/docs/get-started/about/why-clickhouse-is-so-fast) ## Deploy your way Unlike traditional closed-source databases, ClickHouse runs in every environment, whether it’s on your machine or in the cloud. ### ClickHouse Cloud The best way to use ClickHouse. Available on AWS, GCP, Azure and, on their respective marketplaces. [Get started](https://console.clickhouse.cloud/signUp?loc=home-deploy-your-way) ### ClickHouse Spin up a database server with open-source ClickHouse. Always free. [Download ClickHouse](https://clickhouse.com/#getting_started) ### ClickHouse Local Run fast queries on local files (CSV, TSV, Parquet, and many more) without a server. [Download ClickHouse Local](https://clickhouse.com/docs/concepts/features/tools-and-utilities/clickhouse-local) ## Join the 100k+ developers using ClickHouse today - [X](https://x.com/ClickhouseDB) - [Slack](https://clickhouse.com/slack) - [Telegram](https://telegram.me/clickhouse_en) - [Meetup](https://www.meetup.com/pro/clickhouse) - [LinkedIn](https://www.linkedin.com/company/clickhouseinc) ## FAQs Wherever you need us, we’re there. We love to engage in thoughtful conversation with the ClickHouse community and are always on-hand to answer your questions. [Ask us anything](https://clickhouse.com/company/contact) ### Why should I use ClickHouse vs. X database? ClickHouse is faster than most traditional data warehouses and databases and is most often used when real-time queries on large datasets are necessary at an affordable cost. However, developers also often use ClickHouse on top of their CDWH or OLTP databases to act as a “speed layer” within their existing infrastructure. ### What is OLAP? OLAP stands for “online analytical processing” which contrasts from OLTP, or “online transaction processing.” As the name suggests, OLAP databases perform significantly better compared to OLTP databases for analytical workloads common with large datasets. ### How does ClickHouse handle large amounts of data? In order to easily process large amounts of data, ClickHouse uses highly optimized compression techniques and vectorized query execution to maximize CPU efficiency. ### How does ClickHouse support data visualization and analysis? ClickHouse supports connectors to many clients and drivers, including common BI and data analysis tools. Please see [this page](https://clickhouse.com/docs/integrations/home) for a complete list of supported integrations. ### How much does ClickHouse cost? Self-managed ClickHouse is dependent on the cost of your compute and data storage resources, as well as headcount necessary to manage the ClickHouse deployment. For the most affordable way to run ClickHouse, use [ClickHouse Cloud](https://console.clickhouse.cloud/signUp?loc=homepage-faq-accordion), which starts at $50/month. ## Get started with ClickHouse Cloud for free We'll get you started on a 30 day trial and $300 credits to spend at your own pace. [Create a free account](https://console.clickhouse.cloud/signUp?loc=get-started-cloud) ### Or run ClickHouse yourself Install for [Windows](https://clickhouse.com/docs/concepts/features/interfaces/cli), [Docker](https://hub.docker.com/r/clickhouse/clickhouse-server/) or see other [install options](https://clickhouse.com/docs/get-started/setup/install). Or try without installing in our [playground](https://sql.clickhouse.com/). ```bash curl https://clickhouse.com/ | sh ```