BenchRank
#11 in Data Pipelines & ETLUpdated 2026-08

ClickHouse

by ClickHouse · Open-source column-oriented OLAP database for real-time analytics

66.1 — BenchRank score out of 100

Screenshots of ClickHouse

  • Homepage
  • Pricing page

Homepage · ClickHouse

Homepage of ClickHouse
Visit this page

1 of 2

Overview

ClickHouse is an open-source, column-oriented OLAP database for analytical queries over large datasets, using compression and vectorised query execution. It can be self-hosted, run against local files (CSV, TSV, Parquet) without a server, or used as ClickHouse Cloud on AWS, GCP and Azure. Related products cover observability (ClickStack), managed Postgres and an in-process engine (chDB).

Best for
Engineering teams running real-time analytics, observability or BI queries over very large datasets
Pricing
The open-source distribution is free to self-host; ClickHouse Cloud is metered at $25.30 per 1TB of storage per month plus compute from $0.2181 to $0.3903 per unit/hour across three plans, and the site's FAQ states Cloud starts at $50/month.
Runs on
WebmacOSCLI

Strengths and trade-offs

Strengths

  • Open-source distribution is free to download and self-host
  • Column-oriented storage with compression and vectorised execution
  • Queried with plain SQL; 100+ listed integrations and BI connectors
  • Runs self-hosted, on local files, or managed on AWS, GCP and Azure

Trade-offs

  • Metered storage, compute, egress and ingest make bills hard to predict
  • Basic plan caps storage at 1 TB, 8-12 GiB memory, 1 availability zone
  • SAML SSO, CMEK, HIPAA and PCI compliance are Enterprise-tier only
  • Self-managed use adds headcount cost to run the deployment

Pricing

Published plans from ClickHouse’s own pricing page, in USD. Usage charges and add-ons may apply on top.

ClickHouse pricing tiers, monthly rates in USD
PlanMonthlyIncludes
Basic$25.30 per 1TB storage/mo + $0.2181 per compute unit/hr
  • Up to 1 TB storage, 8-12 GiB total memory
  • Backups every 24h, retained 1 day; 1 availability zone
  • Google/Microsoft social SSO and MFA
  • Expert support, 1 business day response
Scale$25.30 per 1TB storage/mo + $0.2985 per compute unit/hr
  • Unlimited storage, configurable memory and backups
  • Compute-compute separation, 2+ availability zones
  • Private networking, S3 role-based access
  • 1 hour response 24x7 for Severity 1 issues
Enterprise$25.30 per 1TB storage/mo + $0.3903 per compute unit/hr
  • SAML SSO, private regions, scheduled upgrades
  • Transparent data encryption / CMEK
  • HIPAA and PCI compliance
  • 30 min Severity 1 response, named lead support engineer

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

MCP support
60 out of 100
API quality
20 out of 100
Documentation
60 out of 100
Agent friendliness
98 out of 100
Pricing transparency
100 out of 100
Changelog
100 out of 100
Marketing site structure
60 out of 100
Operational trust
65 out of 100

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

Openness
60 out of 100
Maintenance
100 out of 100

This doesn’t look right — report a problem with ClickHouse’s score

Alternatives in Data Pipelines & ETL

  • Ranked 1

    83.3 — BenchRank score out of 100

    CloudQuery

    CloudQuery · Multi-cloud asset inventory with SQL policies and automation

    Best for: Platform, security and FinOps teams that need a queryable inventory of a multi-cloud estate.

  • Ranked 2

    77.8 — BenchRank score out of 100

    OpenSERP

    OpenSERP · Open-source SERP API with an optional managed cloud

    Best for: Developers and SEO teams needing programmatic multi-engine search data for AI grounding or rank tracking

  • Ranked 3

    75.7 — BenchRank score out of 100

    Databend

    Databend · Open-source Rust data warehouse for SQL, search and vector workloads

    Best for: Data teams wanting SQL analytics, full-text and vector search in one warehouse over object storage

See all 33 alternatives to ClickHouse

Report a problem with this page

Report an issue with ClickHouse