ClickHouse
Open-source analytics database with managed cloud and observability.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- ClickHouse, Inc.
- Entity type
- COMPANY
- Founded
- 2021
- Headquarters
- United States
- Company size
- 201–500
- Market role
- B2B SaaS Provider
- Official website
- clickhouse.com
What ClickHouse does
ClickHouse uses an open-core B2B SaaS model. It creates value by offering an open-source OLAP database for developer adoption and then monetising that adoption through managed cloud infrastructure, customer-managed cloud deployments, data ingestion services, managed Postgres and observability products. The company reduces deployment complexity, improves performance for real-time analytics and expands wallet share by adding adjacent data infrastructure capabilities.
Category differentiation
This is the database and cloud infrastructure company, not merely the open-source project name alone. It is also not an adtech or martech platform; its core function is analytics database and observability infrastructure for businesses.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
ClickHouse is a private US-based B2B software company that commercialises a high-performance open-source analytical database and a managed cloud service for real-time analytics. Its core business is selling managed data infrastructure to engineering, data and platform teams that need sub-second analytical querying, high concurrency and lower operational overhead than self-managed deployments. The company also offers related products for ingestion, managed Postgres, embedded analytics and observability. Its revenue model is centred on ClickHouse Cloud and related managed services, with usage-based and subscription-style commercial mechanics tied to compute, storage and managed operations. The open-source database acts as the adoption engine, helping the company acquire developers and technical teams before converting them into paid cloud, enterprise and managed observability customers.
Company news briefing
Briefing updated:
Following its $400 million Series D financing and the acquisition of Langfuse, ClickHouse has launched a new TimeSeries Engine providing drop-in Prometheus support via PromQL. The platform's enterprise footprint continues to expand, with OpenAI integrating ClickHouse as a supported data source within ChatGPT Work's new Data Agent alongside database resilience support from NeverBlink. These developments complement ClickHouse's ongoing real-time analytics deployments and its principal partnership with Fulham Football Club.
Business model & monetisation
ClickHouse primarily monetises via usage-based SaaS and managed infrastructure fees. Customers pay for ClickHouse Cloud based on compute, storage and related cloud consumption, supported by free trials and credits for conversion. Additional revenue comes from managed deployments in customer-owned cloud accounts, managed observability services, and managed database offerings such as Postgres. The open-source core supports product-led adoption and lowers customer acquisition costs for paid commercial tiers.
- ClickHouse Cloud
- Usage-based managed cloud data warehouse pricing across compute and storage
- Bring Your Own Cloud
- Managed service subscription for deployments in customer cloud accounts
- Managed ClickStack observability
- Managed observability SaaS
- Managed Postgres
- Subscription or managed database service fees
- Open-source engine
- Indirect conversion funnel into paid managed offerings
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Competitors & alternatives
- Supabase
Open-source Postgres backend platform for application developers.
Side-by-side comparisons
Subsidiaries & acquisitions
- Langfuse
Open-source platform for production LLM observability and evaluation.
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Introducing ClickHouse's new TimeSeries Engine: Your drop-In Prometheus replacement
Recorded impact score: 4/5
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.
High-Performance ETL for Apple Health XML Exports
Infrastructure · Recorded impact score: 2/5
This technical tutorial describes building a high-concurrency ETL engine to process very large Apple Health XML exports. The author outlines a performance-first architecture: a streaming Rust XML parser (quick-xml) to extract <Record> tags, export data as Apache Arrow record batches via PyO3 for zero-copy consumption in Python/Polars, and bulk-ingest cleaned data into ClickHouse using clickhouse-connect. The post includes code snippets for the Rust parser, Arrow-to-Polars bridge, ClickHouse table schema and bulk insert, and discusses production considerations such as parallelization, schema evolution, malformed XML handling, Grafana visualization, and feeding Arrow buffers into ML frameworks like PyTorch.
- Apple Health exports a single massive XML file containing millions of <Record> tags.
- The pipeline uses a streaming Rust parser (quick-xml) to avoid loading the entire XML into memory.
NeverBlink Adds ClickHouse Support
Infrastructure · Recorded impact score: 3/5
NeverBlink, an AI-driven database administrator, announced support for ClickHouse, extending its database resilience and optimization platform to ClickHouse clusters. The integration offers continuous health checks, automated root-cause analysis, query analytics, prioritized remediation guidance, and optional unlimited expert consulting via BigData Boutique. NeverBlink already supports Elasticsearch and OpenSearch and is used in production by companies including Akamai, Perforce, and Palo Alto Networks. The article notes ClickHouse has surpassed 4,000 customers and a reported $15 billion valuation. Leadership quotes emphasize reducing downtime, lowering costs, and accelerating database optimization in the AI era.
- NeverBlink announced support for ClickHouse, extending its AI-native database resilience and optimization platform to ClickHouse clusters.
- NeverBlink is described as the world’s first AI database administrator (DBA) and already supports Elasticsearch and OpenSearch.
Deploying SigNoz with ClickHouse v25 and OTel Gotchas
Application Performance Monitoring · Recorded impact score: 1/5
A developer describes troubleshooting and deployment patterns for self-hosting SigNoz in 2026, focusing on ClickHouse v25 configuration changes, OpenTelemetry Collector incompatibilities, and Docker network isolation. Key recommendations include using config.d/users.d for ClickHouse overrides (instead of replacing the main config), enforcing a deterministic docker-compose boot sequence with one-shot migrator containers (signoz_init_clickhouse and signoz_telemetrystore_migrator), updating exporter names and image tags for the OTel collector (use signozclickhousemetrics and include the 'v' prefix), and relying on internal Docker network isolation rather than per-component passwords to simplify connectivity. The post emphasizes that maintaining self-hosted observability infrastructure requires ongoing engineering effort.
- Author self-hosted SigNoz for Verne Software to control telemetry data.
- ClickHouse v25+ changes require using config.d/ and users.d/ for overrides instead of replacing the main config file.
Picnic builds AI control room for automated fulfilment
Logistics & Retail Systems · Recorded impact score: 3/5
Picnic, the online grocery retailer, is developing an "Intelligent Control Room" to manage its highly automated fulfilment centres using AI, real-time data and automated action recommendations. The system aggregates data from microservices and warehouse systems and evaluates operational events using SQL queries, dbt models and ClickHouse. Controllers will receive prioritized, clickable recommendations and Picnic will collect accept/reject feedback to improve and potentially automate frequent routines. Longer-term plans include predictive models, digital twins for virtual simulations and the eventual use of reinforcement learning to optimise warehouse control strategies. Picnic emphasises a human-in-the-loop approach: employees remain the final decision-makers while AI reduces routine cognitive load.
- Picnic is developing an "Intelligent Control Room" for its automated fulfilment centres.
- The system uses AI and real-time data to generate prioritized, actionable recommendations that controllers can accept or reject.
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Questions about ClickHouse
What is ClickHouse?
ClickHouse is a B2B software company that offers an open-source analytical database plus managed cloud services for real-time analytics, data ingestion, observability and related infrastructure.
Who uses ClickHouse?
It is used by data engineers, analytics teams, developers, platform teams, DevOps and SRE teams, and enterprises that need fast analytical querying and managed data infrastructure.
How does ClickHouse make money?
It makes money mainly from usage-based managed cloud services, including ClickHouse Cloud, customer-managed cloud deployments, managed observability and other paid database services.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
22 publicly documented primary sources and citations linked across the market graph.
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