FerretDB is an open-source proxy that translates MongoDB wire protocol queries to SQL, with PostgreSQL as the database engine.
MongoDB was initially built as open-source software and it is a game-changer for many developers, enabling them to build fast and robust applications. Its ease of use and extensive documentation made it a top choice for many developers looking for an open-source database. However, all this changed when they switched to an SSPL license, moving away from their open-source roots.
FerretDB was founded to become the true open-source alternative to MongoDB, making it the go-to choice for most MongoDB users looking for an open-source alternative to MongoDB. With FerretDB, users can run the same MongoDB protocol queries without needing to learn a new language or command.
FerretDB is a document database that uses similar commands, drivers, and tools to those of MongoDB for storing data. Unlike relational databases, which use tables, rows, and columns to define the schema of the database, document databases use key-value pairs to build the structure of a document. In FerretDB, data is stored as <a href="https://bsonspec.org/spec.html" target="_blank" rel="noopener">BSON</a> - a binary representation of JSON - so you can store more types of data than in regular JSON.
Refer to <a href="https://docs.ferretdb.io/diff/" target="_blank" rel="noopener">known differences with MongoDB</a>
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FerretDB is an open-source proxy that translates MongoDB wire protocol queries to SQL, with PostgreSQL as the database engine.

FerretDB - A truly Open Source MongoDB alternative, built on Postgres

ArangoDB is a multi-purpose open-source database with flexible data model for documents, graphs, and key-values. Build high performance application using a convenient sql-like query language or JavaScript/Ruby extensions. Its key features are  Schema-free, Convenient querying using AQL, Extendable through JS, Space efficiency, Supports modern storage hardware, like SSD and large caches and lot more.

ArangoDB - The Multi-purpose NoSQL DB

Bagri is a Document Database built on top of distributed cache solution like Hazelcast or Coherence. The system allows to process semi-structured schema-less documents and perform distributed queries on them in real-time. It scales horizontally very well with use of data sharding, when all documents are distributed evenly between distributed cache partitions. 
 
Started as a Native XML DB initially, the system has grown to process any kind of documents with self-describing data format (JSON, for instance) via pluggable parsers API. As a schema-free solution Bagri does not require any meta-data change when processing document formats evolve. An internal XQuery engine used for data querying and transformation provides exceeding flexibility in data processing tasks based on solid foundation of XQuery standards. The XQuery language is still evolving rapidly in answer to market demands which makes it the best candidate for all-in-one tool for processing of any volumes of semi-structured data.

Bagri is a Document Database built on top of distributed cache solution like Hazelcast or Coherence. The system allows to process semi-structured schema-less documents and perform distributed queries on them in real-time. It scales horizontally very well with use of data sharding, when all documents are distributed evenly between distributed cache partitions. 

Bagri -  XML/Document DB on top of distributed cache

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FerretDB - A truly Open Source MongoDB alternative, built on Postgres

ArangoDB - The Multi-purpose NoSQL DB

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