ClickHouse Pricing (2026)

Fully usage-based with no fixed monthly floor — you're paying for compute (per unit/hour), storage (per TB/month), data transfer (per GB), and ingestion via ClickPipes (per GB + compute/hour). The value metric is essentially query throughput and data volume, which means costs scale directly with how hard you're hitting the system.

3 plans usage-based Free trial
Basic
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Scale
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Enterprise
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Verified Jul 25, 2026 Official pricing page
Screenshot of ClickHouse's pricing page showing its plans and prices
Their pricing page, captured Jul 25, 2026

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Basic

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  • Up to 1 TB storage
  • 8-12 GiB total memory
  • Backups every 24h, retained for 1 day
  • 1 availability zone
  • Export backups to your own cloud account
  • Expert support with 1 business day response time
  • Single sign-on authentication (SSO) using Google or Microsoft Social login
  • Multi-factor authentication (MFA)

Scale

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  • Unlimited storage
  • Configurable memory
  • Compute-compute separation
  • Backups every 24h, retained for 1 day
  • Configurable backups
  • 2+ availability zones
  • Expert support with 1 hour response time 24x7 for Severity 1 issues
  • S3 role-based access
  • Private networking
  • Automatic vertical scaling
  • Manual horizontal scaling

Enterprise

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  • SAML Single sign-on authentication (SSO)
  • Private regions
  • Manual vertical scaling for custom profiles
  • Enterprise support with 30 min response time for Severity 1 issues
  • Named Lead Support Engineer
  • Transparent data encryption / CMEK
  • Scheduled upgrades
  • Consultative migrations guides
  • HIPAA and PCI compliance

AI Pricing Analysis

Pricing Model

Fully usage-based with no fixed monthly floor — you're paying for compute (per unit/hour), storage (per TB/month), data transfer (per GB), and ingestion via ClickPipes (per GB + compute/hour). The value metric is essentially query throughput and data volume, which means costs scale directly with how hard you're hitting the system.

Tier Strategy

Basic is for teams getting started with lighter workloads; Scale adds more compute headroom and likely better SLAs for teams running production analytics at volume. The upgrade trigger is performance and reliability — when query latency or concurrency becomes a business problem, the per-unit compute jump from $0.2181 to $0.2985 to $0.3903 signals you're paying for more capable infrastructure, not just more of the same.

Competitive Positioning

ClickHouse is going after the high-performance OLAP segment — think Snowflake and BigQuery alternatives for teams that care deeply about query speed on large datasets. The pricing is competitive for raw compute but the multi-dimensional billing (compute + storage + egress + ingestion) can stack up fast, positioning them as a serious tool for data-heavy teams rather than a budget play.

Growth Lever

Expansion is almost entirely usage-driven — more data ingested via ClickPipes, more compute hours burned on queries, and cross-region data transfer all compound as workloads grow. There's no seat-based ceiling, so the natural expansion motion is teams running more pipelines and queries, not adding users, which makes this a strong land-and-expand model for engineering-led orgs.

ClickHouse Pricing FAQ

How much does ClickHouse cost?
Pricing is custom — you'll need to talk to their sales team for a quote.
Is there a free plan?
No free plan. But there is a free trial, so you can test it out before paying.
Can I try it before paying?
Yes — there's a free trial that lasts 30 days. You don't need a credit card to start.
How does the pricing work?
Fully usage-based with no fixed monthly floor — you're paying for compute (per unit/hour), storage (per TB/month), data transfer (per GB), and ingestion via ClickPipes (per GB + compute/hour). The value metric is essentially query throughput and data volume, which means costs scale directly with how hard you're hitting the system.
Which plan makes sense for me?
Basic is for teams getting started with lighter workloads; Scale adds more compute headroom and likely better SLAs for teams running production analytics at volume. The upgrade trigger is performance and reliability — when query latency or concurrency becomes a business problem, the per-unit compute jump from $0.2181 to $0.2985 to $0.3903 signals you're paying for more capable infrastructure, not just more of the same.

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