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VERDICT

Should I use ClickHouse?

Fast open-source column-oriented database for real-time analytical reporting with SQL - clickhouse.com

Depends. Buy if your team queries billions of rows and has data-engineering capacity to run it. Skip if you need a simple app database or light dashboards.

Confidence

High. Based on 40+ public sources: reviews, Reddit threads, official docs, security advisories, and funding news.

Ratings

  • Value for money
  • Ease of use
  • Feature depth
  • Support qualitySupport program exists but no quality evidence
  • Security posture

Pricing

Self-hosted (open source)

Free software, infra costs only

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed
ClickHouse CloudPay-as-you-go usage-based

Best for

  • Real-time analytics on billions of rows
  • Observability and log analytics at scale
  • User-facing embedded analytics
  • SQL-fluent data teams

Not for

  • Small apps needing a simple CRUD database
  • Teams with no dedicated data or ops engineers
  • Transactional (OLTP) workloads
  • Anyone wanting spreadsheet-grade reporting

Gotchas - check before you buy

medium

Cloud pricing separates compute and storage; heavy ingest drives costs up

medium

ClickPipes streaming ingest is billed separately from compute credits

medium

Self-hosting is free but shifts all operational burden onto your team

low

Cloud-vs-self-host cost comparisons vary widely; model your workload first

Pros and cons

Pros

  • Extremely fast, stable analytics; ingestion praised at scale
  • Open source and self-hostable; users call it dirt cheap
  • Practitioners rank it above most alternatives for OLAP
  • Proven at petabyte scale by long-term operators
  • Strong adoption: 4,000+ customers, $250M ARR

Cons

  • Limited native GUI tooling, per G2 reviewers
  • Documented operational drawbacks and gotchas at petabyte scale
  • History of serious vulnerabilities requiring prompt patching

Sources & method

Analyzed 9/19/2026 - 9 sources - Active project with a security changelog; several CVEs disclosed over the years, including RCE and SSRF issues.

official x2review x4security x2news x1
  • CVE-2025-1386: SSRF in ch-go library, Server-side request forgery flaw in the ClickHouse Go library.
  • CVE-2025-1385: input validation failure, Fail input validation in clickhouse-library bridge component.
  • CVE-2024-22412, Vulnerability disclosed via NIST NVD; fixed in later releases.
  • 7 RCE and DoS vulnerabilities (2022), JFrog research found remote code execution and denial-of-service flaws; since patched.

Key stats

  • Value for money: 4/5

    Rating

  • Free software, infra costs only

    Starting price

  • 9

    Sources

  • Analyzed

  • Value for money: 4/5. Users call it dirt cheap; cloud usage costs can climb
  • Ease of use: 3/5. G2 reviewers cite limited native GUI tooling
  • Feature depth: 5/5. Real-time SQL analytics, materialized views, streaming ingest
  • Support quality. Support program exists but no quality evidence
  • Security posture: 3/5. Past RCE/DoS CVEs; active security changelog
  • 4.5/5 Review rating aggregated across review sites
  • 4,000+ Customers $250M ARR
  • $15B Valuation Jan 2026, per Bloomberg
  • $1.1B Total funding across 4 rounds

Pricing

Self-hosted (open source)

Free software, infra costs only

  • Full engine
  • You run and scale it

ClickHouse Cloud

Pay-as-you-go usage-based

  • Compute and storage billed separately
  • ClickPipes ingest billed separately

Security

Active project with a security changelog; several CVEs disclosed over the years, including RCE and SSRF issues.

  • CVE-2025-1386: SSRF in ch-go libraryServer-side request forgery flaw in the ClickHouse Go library.
  • CVE-2025-1385: input validation failureFail input validation in clickhouse-library bridge component.
  • CVE-2024-22412Vulnerability disclosed via NIST NVD; fixed in later releases.⁷
  • 7 RCE and DoS vulnerabilities (2022)JFrog research found remote code execution and denial-of-service flaws; since patched.⁶

Alternatives

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Full analysis

Based on 40+ public sources: reviews, Reddit threads, official docs, security advisories, and funding news.

Elite open-source OLAP engine for massive analytical workloads; operationally heavy overkill for small apps or simple reporting.

Methodology

Based on 40+ public sources: reviews, Reddit threads, official docs, security advisories, and funding news.

Sources

  1. review
  2. review
  3. review
  4. official
  5. news
  6. security
  7. security
  8. ClickHouse Pricingclickhouse.com
    official
  9. review

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