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ClickHouse

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Fast open-source analytics database

Data & DatabasesAnalyticsBusiness Intelligence
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Reviews onG2
20 reviews tracked·26 press mentions

The Bottom Line

Entry price

Paid plans only

Biggest pro

Extremely fast analytics

Biggest con

Not for OLTP

TL;DR - ClickHouse

  • ClickHouse is a column-oriented database for real-time analytics on massive datasets
  • It delivers sub-second query performance on billions of rows for OLAP workloads
  • Free and open-source, with ClickHouse Cloud from $0.30/hour
Pricing: Paid only
Best for: Enterprises & pros
4.4/5 across review platforms

What is ClickHouse?

Editorial review
ClickHouse processes analytical queries at speeds that seem impossible. Billions of rows in seconds, columnar storage optimized for aggregations, and SQL syntax that feels familiar even for complex analytics. The open-source version is production-ready. Compression ratios keep storage costs low. The query optimizer handles analytical workloads brilliantly. Data teams with big analytical workloads choose ClickHouse when query performance is more important than transaction support.

Available on: Web, Linux, macOS, Windows

how we evaluateSourceclickhouse.com ↗

Pros & Cons

Pros

  • Extremely fast analytics
  • Good compression
  • SQL interface
  • Column-oriented
  • Open source

Cons

  • Not for OLTP
  • Updates expensive
  • Operations complex
  • Learning curve
  • Specific use cases

Ratings Across the Web

4.4(20 reviews)
G220 reviews
4.4/5

Ratings aggregated from independent review platforms. Learn more

Key Features

Analytics databaseColumnarFast queriesSQLReal-timeOpen source

Pricing Plans

Free Trial

Pricing checked Jul 5, 2026

Basic

null

Usage-based pricing

  • 1 replica
  • 8 GiB RAM
  • 2 vCPU
  • Pay-as-you-go compute
Most Popular

Scale

null

Production workloads

  • Multiple replicas
  • Independent scaling
  • Advanced features

Enterprise

null

High compliance needs

  • Custom SLA
  • Disaster recovery
  • Hardware control
Calculate your costView full pricing

Reviews

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4.4/5

Across 20 verified user reviews on G2

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Best ClickHouse Alternatives

Top alternatives based on features, pricing, and user needs.

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Real-time analytics database for high-speed queries

4.3
Amazon Redshift logo
Amazon RedshiftPaid

Petabyte-scale data warehouse on AWS

4.4
Apache Pinot logo
Apache PinotFree

Unlock real-time insights from petabyte-scale data with ultra low-latency analytics.

Presto logo
PrestoFree

Query petabytes of data across diverse sources with lightning-fast, open-source SQL.

See all data & databases tools →

Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

ClickHouse vs SnowflakeHead-to-head: features, pricing, who winsClickHouse vs Apache DruidHead-to-head: features, pricing, who winsClickHouse vs Amazon RedshiftHead-to-head: features, pricing, who wins

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ClickHouse FAQ

How does ClickHouse achieve its high analytical query speeds?

ClickHouse processes analytical queries rapidly by utilizing columnar storage optimized for aggregations. It is designed to handle billions of rows in seconds, making it exceptionally fast for analytical workloads.

Which teams benefit most from using ClickHouse?

Data teams with significant analytical workloads choose ClickHouse, especially when query performance is a top priority over transaction support. It is well-suited for business intelligence and analytics use cases.

How does ClickHouse compare to Amazon Redshift for analytical tasks?

ClickHouse is an open-source analytics database known for its extremely fast analytics and columnar storage, while Amazon Redshift is also a popular choice for data warehousing. ClickHouse excels in scenarios where raw query performance on large datasets is paramount, often outperforming alternatives in specific analytical benchmarks.

What kind of analytical workloads is ClickHouse best suited for?

ClickHouse is ideal for analytical workloads that involve querying and aggregating large datasets, such as those found in business intelligence and data analytics. Its columnar storage and query optimizer are specifically designed for these types of operations.

What are the main trade-offs when implementing ClickHouse?

ClickHouse is not designed for Online Transaction Processing (OLTP) and updates can be expensive. It also has a learning curve and can involve complex operations, making it best for specific analytical use cases.

Does ClickHouse include a free tier?

ClickHouse is a paid product and does not offer a permanently free tier. However, the open-source version is production-ready and available for use.

How does ClickHouse help manage storage costs for large datasets?

ClickHouse helps manage storage costs through good compression ratios, which reduce the overall disk space required for large datasets. Its columnar storage also contributes to efficient data handling.

Source: clickhouse.com

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