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ClickHouse Company Profile

ClickHouse is a fast open-source column-oriented database management system that allows generating analytical data reports in real-time using SQL queries

Industry: DataAI

Segment: Data Infrastructure

Competitors: Newbie: Timescaledb

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ClickHouse

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ClickHouse is a fast open-source column-oriented database management system that allows generating analytical data reports in real-time using SQL queries

Pricing

Public pricing page

AI Classification

DataAIData Infrastructure

ClickHouse develops an open-source, column-oriented OLAP database management system designed for real-time analytics at petabyte scale, serving over 3,000 paying customers across technology, financial services, AI/ML, and observability use cases. The company offers both ClickHouse Cloud (a managed SaaS service on AWS, GCP, and Azure) and a self-hosted open-source deployment, competing directly with Snowflake, Databricks, and Google BigQuery.

Deep Intelligence

Buying Signals

  • Series D funding of $400M closed in January 2026 at a $15B valuation — up from $6.35B at Series C — signaling aggressive growth investment and investor confidence
  • ARR growing 250%+ year-over-year as of early 2026, indicating rapid commercial expansion and strong customer acquisition momentum
  • Acquired Langfuse (LLM observability platform with 20K+ GitHub stars) in January 2026, expanding the product footprint into the AI observability market
  • Entered the Japanese market via a Japan Cloud partnership in 2025, demonstrating active international geographic expansion
  • Launched ClickStack observability platform, native Postgres service, and Azure OneLake partnership in 2025, reflecting accelerating product ecosystem investment

Account Scoring

Tier ALow Churn RiskRecently Funded

Pain Signals

  • Operating in a highly competitive analytics and data warehouse market dominated by Snowflake and Databricks, requiring continuous differentiation on query performance and cost-efficiency
  • Pricing page lacks published tier breakdowns and plan-level details, making self-service evaluation difficult and increasing reliance on sales-assisted deals
  • Three of five scraped pages failed, suggesting potential content delivery issues that could affect developer onboarding and self-service discovery

Recommended Contacts

V

VP of Engineering

Engineering · VP

Recent News

  • Latest news and press releases from ClickHouse
  • ClickHouse raises $400M Series D led by Dragoneer to accelerate ...
  • ClickHouse Announces Native Postgres Service, Offering a Unified ...

Website Signals

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Social Links

Linkedin

Competitors

Newbie: Timescaledb

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