- Stars
- 30,451
- License
- Unknown
- Last commit
- 3 days ago
Best Document Databases Tools
Explore leading tools in the Document Databases category, including open-source options and SaaS products. Compare features, use cases, and find the best fit for your workflow.
9 open-source projects · 2 SaaS products
Top open-source Document Databases
These projects are active, self-hostable choices for knowledge management teams evaluating alternatives to SaaS tools.
- Stars
- 27,789
- License
- Unknown
- Last commit
- 3 days ago
- Stars
- 26,974
- License
- Unknown
- Last commit
- 17 days ago
- Stars
- 14,020
- License
- Unknown
- Last commit
- 3 days ago
- Stars
- 10,659
- License
- Apache-2.0
- Last commit
- 10 days ago
- Stars
- 6,743
- License
- Apache-2.0
- Last commit
- 3 days ago
OrientDB combines graph, document, key‑value, full‑text, and geospatial models in a single engine, offering ACID transactions, SQL queries, and runnable on any platform via Java.
Popular SaaS Platforms to Replace
Understand the commercial incumbents teams migrate from and how many open-source alternatives exist for each product.
Azure Cosmos DB
Fully managed, globally distributed NoSQL database service offering multi-model support with low-latency access worldwide
MongoDB
Document-oriented NoSQL database for flexible data storage
Azure Cosmos DB is a fully managed, globally distributed NoSQL database service that provides low-latency data access and offers multiple data models (key-value, document, graph, column-family) under a single service. It automatically replicates data across regions, provides tunable consistency levels, and scales throughput and storage elastically, making it suitable for modern applications requiring high performance and global availability of data.
Explore related categories
Browse neighbouring categories in Data Platforms to widen your evaluation.
- Data Warehouse & OLAP DatabasesAnalytical databases for large-scale reporting, BI, and OLAP queries.
- Distributed SQL DatabasesNewSQL databases with horizontal scalability and strong consistency.
- Search EnginesFull-text search platforms for indexing and querying documents and data.
- Time-Series DatabasesDatabases optimized for time-stamped series data (metrics, IoT).
- Vector DatabasesDatastores optimized for vector similarity search (ANN).





