ClickHouse Pricing (2026)
Pure consumption pricing: you pay for compute by the unit-hour ($0.2181-$0.3903 depending on tier) and storage at a flat $25.30/TB/month, with data transfer and ClickPipes ingestion metered on top as separate line items. There's no seat cost at all — your bill scales with query volume and data footprint, not headcount.
- Basic
- Contact Sales
- Scale
- Contact Sales
- Enterprise
- Contact Sales
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Basic
- 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
- 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
- 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
Does ClickHouse have a free plan?
No. There's no free-forever plan. There is a free trial that lasts 30 days, after which pricing is custom.
Want free? Airtable, Aiven, and Appwrite have free plans: see all ClickHouse alternatives →
AI Pricing Analysis
Pricing Model
Pure consumption pricing: you pay for compute by the unit-hour ($0.2181-$0.3903 depending on tier) and storage at a flat $25.30/TB/month, with data transfer and ClickPipes ingestion metered on top as separate line items. There's no seat cost at all — your bill scales with query volume and data footprint, not headcount.
Tier Strategy
Basic is aimed at small teams or single-node deployments testing the waters, Scale is built for production workloads that need higher availability and compute headroom, and Enterprise targets orgs with compliance, security, or dedicated support needs. The upgrade trigger isn't usage volume so much as operational maturity — you move up when you need SLAs, isolation, or governance features that Basic and Scale don't offer, not just because your data grew.
Competitive Positioning
ClickHouse Cloud sits in the middle-to-premium range for analytical databases — pricier per-unit than running open-source ClickHouse yourself on raw cloud infra, but cheaper than Snowflake or BigQuery for high-throughput analytical workloads at scale. They're going after teams that have outgrown Postgres/MySQL for analytics and are comparing managed OLAP options rather than competing on being the budget pick.
Growth Lever
Expansion is driven almost entirely by compute consumption and storage growth, plus the compounding cost of data transfer and ClickPipes as pipelines multiply. Since there's no feature-gating on core query capability, teams don't upgrade for functionality — they upgrade because their workload got bigger or because they need the reliability and support guarantees baked into higher tiers.
Want the strategist's read on the live page? Read the AI teardown of ClickHouse's pricing page →
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.
- How does the pricing work?
- Pure consumption pricing: you pay for compute by the unit-hour ($0.2181-$0.3903 depending on tier) and storage at a flat $25.30/TB/month, with data transfer and ClickPipes ingestion metered on top as separate line items. There's no seat cost at all — your bill scales with query volume and data footprint, not headcount.
- Which plan makes sense for me?
- Basic is aimed at small teams or single-node deployments testing the waters, Scale is built for production workloads that need higher availability and compute headroom, and Enterprise targets orgs with compliance, security, or dedicated support needs. The upgrade trigger isn't usage volume so much as operational maturity — you move up when you need SLAs, isolation, or governance features that Basic and Scale don't offer, not just because your data grew.
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