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It's a split decision.
MongoDB is a document database platform for application workloads, with Atlas and self-managed deployment, search, vector search and stream processing. ClickHouse is an open-source columnar database aimed at analytical SQL over large datasets, available in cloud, self-managed and local forms. Choose MongoDB when the application’s primary data model is document-centric and needs its query API. Choose ClickHouse for real-time analytics, observability or data warehousing. They can complement each other when an app needs operational storage and analytical querying.
01Side by side
| MongoDB | ClickHouse | |
|---|---|---|
| Pricing model | Hourly Atlas billing; monthly invoices | Usage-based compute-hour and storage charges |
| Free tier | M0: 512 MB; up to 100 operations per second | 30-day ClickHouse Cloud trial |
| Open source and licence | Enterprise Advanced has a commercial license | Open-source database |
| Self-hosting | Self-managed software on your infrastructure | Self-managed server or ClickHouse Local |
| API and SDKs | Document model; single query API | SQL for analytical queries |
| Integrations | 100+ technologies | 100+ ingestion, visualization and client integrations |
| Deployment model | Atlas cloud or self-managed | Cloud, self-managed or Local |
| Limits and scaling | Atlas Infinite: up to 128 TB per HA shard | Scale: unlimited storage; configurable memory |
MongoDB Choose MongoDB if
- Choose MongoDB if your application uses a document-centric data model.
- Choose MongoDB if you need one query API for application data.
- Choose MongoDB if Atlas search, vector search or stream processing fits your stack.
ClickHouse Choose ClickHouse if
- Choose ClickHouse if you run analytical SQL over large datasets.
- Choose ClickHouse if you need real-time analytics or observability queries.
- Choose ClickHouse if open source and self-hosting are requirements.
02Pricing at real usage
MongoDB Atlas M0 is free forever, with 512 MB storage, 32 MB sort memory and up to 100 operations per second. Atlas Flex starts at $0.011/hour, includes 5 GB storage and typically costs $8–$30/month. Dedicated clusters start at $56.94/month; Atlas bills clusters hourly and invoices monthly. The pricing page lists no annual billing option.
ClickHouse Cloud offers a 30-day trial, then bills for compute and storage. Basic compute is $0.2181 per unit-hour, with storage at $25.30 per TB-month and up to 1 TB of storage. Scale compute is $0.2985 per unit-hour; Enterprise is $0.3903. Both list the same storage rate. Total cost depends on compute use and stored data, so estimate those against your workload. ClickHouse lists monthly billing in USD and no annual rates.
03API, SDKs and integration
MongoDB’s document model and single query API center application access on document data. Atlas adds database search, vector search, stream processing and analytics capabilities. Developers can use Compass, a GUI for working with MongoDB data, and MongoDB provides documentation, community forums and a University resource. Its homepage lists integrations with 100+ technologies. The homepage does not enumerate SDK languages or protocol versions, so confirm driver support for your runtime and version.
ClickHouse is built for analytical queries using SQL. ClickHouse Local can query CSV, TSV and Parquet files without a server, while ClickHouse Cloud and self-managed deployments serve other use cases. Its homepage lists 100+ integrations across data ingestion, visualization, language clients and other categories. The sources do not enumerate SDK languages or protocol versions; check the relevant client documentation before selecting a production integration. These tools have different query patterns: MongoDB emphasizes application data, while ClickHouse emphasizes analytical SQL.
04Open source, self-hosting and lock-in
ClickHouse is an open-source database and can run self-managed, in ClickHouse Cloud or locally through ClickHouse Local. MongoDB offers Atlas and self-managed software; Enterprise Advanced includes a commercial license, while Community Edition is available at no cost for local development. Check the applicable licence terms for the MongoDB edition you plan to deploy.
Both products offer a path beyond their hosted service, which can reduce dependence on one cloud provider. Moving between them is not a like-for-like database swap: MongoDB uses a document model and query API, while ClickHouse is columnar and uses analytical SQL. Plan for application or query changes when migrating. The vendors’ pages do not specify export formats or migration paths for every deployment; confirm those details, along with backup and restore options, before choosing.
Questions people ask
What is a ClickHouse database?
ClickHouse is an open-source, column-oriented database designed for analytical queries over large datasets. It supports SQL analysis and is positioned for real-time analytics, observability and data warehousing. It is available as ClickHouse Cloud, self-managed software or ClickHouse Local, which queries files such as CSV, TSV and Parquet without a server.
Is MongoDB better than ClickHouse?
Neither is a universal replacement for the other. MongoDB is a document database platform for application data, with a single query API and tools for search, vector search and stream processing. ClickHouse is designed for analytical SQL over large datasets. Choose based on the workload and data model your application needs.
What are common use cases for MongoDB?
MongoDB supports operational and transactional applications, search, analytics, stream processing and AI applications. Its document model suits document-centric application data. Atlas also offers MongoDB Search and Vector Search, while its aggregation and graph capabilities support analytics and relationship analysis.
Can ClickHouse query local data without a server?
Yes. ClickHouse Local can query files including CSV, TSV and Parquet without a server. For managed deployment, ClickHouse Cloud offers a 30-day trial and usage-based billing. Teams can also self-manage ClickHouse, so the local option is one deployment choice rather than the only way to run it.