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Head-to-head · Database systems

ClickHouse vs PostgreSQL

Choose ClickHouse for real-time analytics at scale; choose PostgreSQL for a free, open-source relational database you host and operate.

ClickHouse

8.3/10
VS

PostgreSQL

8.4/10

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Short answer

It's a split decision.

Pick ClickHouse when your application needs fast analytical SQL over large datasets, real-time dashboards, or observability workloads. Its columnar design, ClickHouse Local, and hosted or self-managed options fit that pattern; ClickHouse Cloud charges by compute and storage. Pick PostgreSQL for an open-source object-relational database with no software fee and a PostgreSQL License. You supply hosting and operational work. Both are self-hostable, but they target different workload shapes rather than serving as direct substitutes.

01Side by side

ClickHousePostgreSQL
Pricing modelUsage-based compute and storage billingFree software; teams supply hosting and operations
Free tier30-day trial; no free planFree of charge; no published usage limits
Open source and licenceOpen source; licence type not specifiedOpen source under the OSI-approved PostgreSQL License
Self-hostingSelf-managed ClickHouse is availableSelf-hostable open-source database server
CLI and docsClickHouse Local queries CSV, TSV, and Parquet filesOfficial docs cover installing, using, and learning PostgreSQL
IntegrationsHomepage lists 100+ integrationsHomepage lists no specific integrations
Deployment modelCloud, self-managed, or LocalSelf-hostable open-source database
PlatformsWeb, Windows, and DockerWeb

Choose ClickHouse if

  • Choose ClickHouse if you query large analytical datasets in real time.
  • Choose ClickHouse if SQL analytics and millisecond queries are core requirements.
  • Choose ClickHouse if you want Cloud, self-managed, or Local deployment.

Choose PostgreSQL if

  • Choose PostgreSQL if you need an open-source object-relational database.
  • Choose PostgreSQL if avoiding a database software fee matters.
  • Choose PostgreSQL if your team can supply hosting and operations.

02Pricing at real usage

ClickHouse Cloud has a 30-day free trial, but no free plan. The pricing page lists Basic at $0.2181 per compute unit-hour and $25.30 per TB-month of storage, with up to 1 TB storage and 8–12 GiB memory. Scale is $0.2985 per unit-hour with the same storage rate and unlimited storage. Enterprise is $0.3903 per unit-hour, also with $25.30 per TB-month storage. These are usage-based rates, billed monthly in USD; compute hours and stored data drive the bill. The page lists public internet egress from $0.1152/GB and inter-region egress from $0.0312/GB. PostgreSQL software is free of charge, with no published seat or usage limits. Teams supply hosting and operational work, so infrastructure costs depend on where and how they run it.

03API, SDKs and integration

ClickHouse supports SQL analysis and provides ClickHouse Local for querying CSV, TSV, and Parquet files without a server. Its homepage lists more than 100 integrations across data ingestion, visualization, language clients, and other categories. It does not enumerate the languages, SDK names, or API protocols on that page; confirm those against the current documentation before selecting a client library or designing an integration. PostgreSQL's homepage directs developers to official documentation for installing and using the database, plus community resources for learning and support. It does not list specific integrations or SDKs there. Neither homepage specifies an API protocol or language-client matrix, so check the relevant product documentation for the exact interfaces your application needs. For both databases, assess client support and existing connectors in your stack before committing to an integration path.

04Open source, self-hosting and lock-in

ClickHouse is open source and self-hostable, with ClickHouse Cloud, self-managed ClickHouse, and ClickHouse Local as deployment options. Its licence type is not specified on the homepage, so verify the licence terms for the version and distribution you plan to deploy. PostgreSQL is open-source software under the OSI-approved PostgreSQL License, and teams can run the database themselves. That keeps hosting and operations under your control, but the PostgreSQL review notes that teams supply that work. ClickHouse Cloud adds a hosted service to the deployment choices; self-managed ClickHouse avoids relying on that service. Neither homepage describes a product-specific data export or migration path. Before adopting either database, check supported export formats and test a representative migration, including schema and query changes. The two systems have different data models and workload focuses, so migration effort depends on the application.

Questions people ask

What are the key differences between PostgreSQL and other databases?

PostgreSQL is an open-source object-relational database with more than 35 years of active development. ClickHouse is an open-source columnar database designed for analytical queries on large datasets. The choice depends on workload: general relational application needs point toward PostgreSQL, while real-time analytics point toward ClickHouse.

What is a ClickHouse database?

ClickHouse is an open-source, column-oriented database for analytical SQL on large datasets. It offers ClickHouse Cloud, self-managed deployment, and ClickHouse Local, which can query CSV, TSV, and Parquet files without a server. Its listed use cases include analytics, observability, data warehousing, and ML and GenAI.

Which SQL database is fastest?

There is no universal winner across workloads. ClickHouse is designed for fast analytical queries and real-time analysis of large datasets, including millisecond queries. PostgreSQL's homepage cites its reputation for performance, but that is not a workload-specific comparison. Test against your query patterns and data before choosing.

Is PostgreSQL obsolete?

No. PostgreSQL is open-source software with more than 35 years of active development. Its homepage lists PostgreSQL 19 RC 1 as released on October 15, 2026, and says PostgreSQL 14 will stop receiving fixes on November 12, 2026. Check the version policy before planning an upgrade.