FerretDB gives you the MongoDB developer experience without the SSPL: point your existing drivers at it and your document workloads land in PostgreSQL instead. It listens on the standard MongoDB port and translates wire-protocol queries into SQL, so applications, ORMs, and command-line tools connect unchanged, none the wiser. CRUD operations, aggregation pipelines, index creation, findAndModify, and sessions all work today, with new commands landing release after release as compatibility widens. Behind the proxy, Microsoft's open-source DocumentDB extension gives PostgreSQL a native BSON type and document operators, which is also the engine under Azure Cosmos DB for MongoDB vCore. That shared engine means workloads can move between your own FerretDB deployment and Cosmos DB without an export-import project in between. Vector search support covers embedding lookups for AI features, replication covers high availability, and SCRAM-SHA-256 authentication secures connections the way MongoDB operators already expect. Because the license is Apache 2.0, you can embed it, resell it, or offer it as a managed service to your own customers with no SSPL obligations attached. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Used by over 46,800 companies including Forbes, Toyota, and Cisco, MongoDB stores data as flexible JSON-like BSON documents that eliminate rigid table schemas and support rapid application iteration. Its aggregation pipeline processes complex data transformations through composable stages including $match, $group, $lookup for joins, $unwind, and $project, operating directly within the database engine. Horizontal scaling is built in through automatic sharding, which distributes data across nodes using range-based, hashed, or zone-based shard keys, while replica sets provide automatic failover with configurable read preferences and write concerns. Multi-document ACID transactions span multiple collections and shards since version 4.0, enabling relational-style consistency guarantees within a document model. Starting with Community Edition 8.2, native full-text search and vector search are available directly in the database through $search and $vectorSearch aggregation stages, supporting RAG patterns, semantic retrieval, and hybrid search without external dependencies. Change streams provide real-time event-driven data access by tailing the oplog through the aggregation framework, enabling reactive architectures without polling. Time series collections offer optimized columnar storage for IoT sensor data and metrics with automatic bucketing and compression. Official drivers exist for Python, Node.js, Java, Go, C#, C++, Rust, Swift, and PHP, with MongoDB Compass providing a GUI for visual schema exploration and query building. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. SSPL v1 licensed.