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ClickHouse

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Fast open-source analytics database

Data & DatabasesAnalyticsBusiness Intelligence
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Coverage fromTechCrunchThe InformationThe Next Web
23 reviews tracked·33 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
4.5/5 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

4.5(23 reviews)

ClickHouse holds an aggregate rating of 4.5 out of 5 from 23 reviews across G2, last checked August 23, 2026.

G223 reviews
4.5/5

Ratings aggregated from independent review platforms. Learn more

Key Features

Analytics databaseColumnarFast queriesSQLReal-timeOpen source

Pricing Plans

Free Trial

Pricing checked Aug 24, 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

Is ClickHouse worth the price?

80/100

ClickHouse Cloud is genuinely cheap for read-heavy analytical workloads thanks to aggressive columnar compression and per-minute compute billing.

A startup running intermittent queries on 500 GB can pay as little as $67/month on the Basic tier, while a production analytics team processing terabytes lands around $500-1,500/month on Scale. The catch is that costs are entirely usage-driven: a runaway query or unexpected data spike can inflate your bill fast.

Compared to Snowflake or BigQuery, ClickHouse typically costs 30-60% less for equivalent analytical workloads, but you trade managed simplicity for a steeper learning curve with ClickHouse SQL dialect and schema design.

Hidden Costs & Gotchas

Internet egress fees ($0.0312-$0.162/GB depending on region) add up fast if you export query results to external dashboards or applications. A team exporting 100 GB/month from AWS us-east-1 pays an extra $11.50/month in egress alone.

Cross-region data transfer is billed separately. Multi-region architectures with replication can double or triple effective storage costs.

Backups count toward storage costs and are billed separately. Basic tier retains only 1 day of backups; recovering from older incidents requires Scale ($500+/mo) or Enterprise.

ClickPipes (managed data ingestion from Kafka, S3, etc.) is billed based on compute consumed during ingestion, which is not included in your base compute allocation.

Auto-scaling can trigger unexpected bills. While you can set scaling limits, the default behavior is to scale up to meet demand. Without budget alerts configured, a spike in queries can cause a surprise bill.

No permanent free tier. The 30-day trial with $300 in credits is generous but finite. After that, even a minimal idle service incurs storage charges.

Reviews

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4.5/5

Across 23 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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Amazon Redshift logo
Amazon RedshiftPaid

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Apache Pinot logo
Apache PinotFree

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

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

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Still deciding?

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

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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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