SurrealDB is the ultimate mult--modal database for tomorrow's applications. SurrealDB is an end-to-end cloud-native database designed for modern applications, including web, mobile, serverless, Jamstack, backend, and traditional applications. With SurrealDB, you can simplify your database and API infrastructure, reduce development time, and build secure, performant apps quickly and cost-effectively.
<ul dir="auto">
<li>Reduces development time: SurrealDB simplifies your database and API stack by removing the need for most server-side components, allowing you to build secure, performant apps faster and cheaper.</li>
<li>Real-time collaborative API backend service:&nbsp;SurrealDB functions as both a database and an API backend service, enabling real-time collaboration.</li>
<li>Support for multiple querying languages:&nbsp;SurrealDB supports SQL querying from client devices, GraphQL, ACID transactions, WebSocket connections, structured and unstructured data, graph querying, full-text indexing, and geospatial querying.</li>
<li>Granular access control: SurrealDB provides row-level permissions-based access control, giving you the ability to manage data access with precision.</li>
<li class="task-list-item">Record links and directed typed graph connections</li>
<li>Incrementally computed views for pre-computed advanced analytics</li>
<li>Connect and query directly from web-browsers and client devices</li>
<li>Store and model data in any way with tables, documents, and graph</li>
<li>Simple schema definition for frontend and backend development</li>
<li>Use embedded JavaScript functions for custom advanced functionality</li>
</ul>

SurrealDB is an end-to-end cloud-native database designed for modern applications, including web, mobile, serverless, Jamstack, backend, and traditional applications.

SurrealDB - A scalable, distributed, collaborative, document-graph database, for the realtime web

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

Memgraph is a streaming graph application platform that helps you wrangle your streaming data, build sophisticated models that you can query in real-time, and develop graph applications.
 
You can ingest data from sources like Kafka, SQL, or plain CSV files. Memgraph provides a standard interface to query your data with Cypher, a widely-used and declarative query language that is easy to write, understand and optimize for performance. This is achieved by using the property graph data model, which stores data in terms of objects, their attributes, and the relationships that connect them. This is a natural and effective way to model many real-world problems without relying on complex SQL schemas.
 
Memgraph is a platform for graph applications, not just for graph analytics. From Social networks to user event tracking, permissions modeling, recommendation systems, and so much more, you can build it on Memgraph.

Memgraph is a streaming graph application platform that helps you wrangle your streaming data, build sophisticated models that you can query in real-time, and develop graph applications.



Memgraph - Build modern, graph-based applications on top of your streaming data in minutes

YottaDB's diverse feature set as a NoSQL multi-level, key-value data store provides users and businesses with a strong foundation for their critical applications. It operates using a daemon-less engine. Unlike most high-end transactional database engines, YottaDB uses Optimistic Concurrency Control (OCC) to implement ACID transactions. Since transactions do not typically collide, optimistic techniques scale up better than pessimistic techniques such as locking.

YottaDB - Rock solid, Lightning Fast. Secure database

GrandNode 2.0 is an e-commerce platform for developing online stores. It gives you possibility to create highly advanced, good-looking online stores which have unlimited power of customization. GrandNode 2.0 was designed to solve the most important business challenges from the world of digital shopping. It provides the high performance front-end, rendered within miliseconds. It includes features of eCommerce, CRM, CMS and ERP.

GrandNode2 - Open source, headless, multi-tenant eCommerce platform built with  .NET Core, MongoDB, AWS DocumentDB, Azure CosmosDB, Vue.js

Skytable is an effort to provide the best of key/value stores, document stores and columnar databases, that is, simplicity, flexibility and queryability at scale. The name 'Skytable' exemplifies our vision to create a database that has limitless possibilities. It is natively multithreaded and scales to millions of queries per second per node with no optimizations left off the table. The database server doesn't need more than 1MB to run. 

Skytable - Your next NoSQL database

MongoDB (from "humongous") is a scalable, high-performance, open source, dynamic-schema, document-oriented database. MongoDB bridges the gap between key-value stores (which are fast and highly scalable) and traditional RDBMS systems. MongoDB runs well on Amazon EC2. MongoDB uses BSON as the data storage and network transfer format for "documents". BSON is a binary encoded serialization of JSON-like documents. MongoDB could be accessed from programming language C, C++, Java, PHP, Python and Ruby. 
 It supports: 
 <UL>
	<LI>DBA operations from the shell</LI>
	<LI>Sharding</LI>
	<LI>Replication</LI>
	<LI>Security</LI>
	<LI>Backup</LI>
	<LI>Database Profiler</LI>
	<LI>Full Text Search</LI> 
 </UL>

MongoDB (from "humongous") is a scalable, high-performance, open source, dynamic-schema, document-oriented database. MongoDB bridges the gap between key-value stores (which are fast and highly scalable) and traditional RDBMS systems.

MongoDB - NoSQL Document Store Database

Nosqlclient (Formerly Mongoclient) - Cross-platform and self hosted, easy to use, intuitive mongodb management tool. Its features include MongoDB Shell, Index management, User management, Schema analyzer, Live monitoring, File management and lot more.

Nosqlclient (Formerly Mongoclient) - Cross-platform and self hosted, easy to use, intuitive mongodb management tool

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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SurrealDB - A scalable, distributed, collaborative, document-graph database, for the realtime web

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

Memgraph - Build modern, graph-based applications on top of your streaming data in minutes

YottaDB - Rock solid, Lightning Fast. Secure database

GrandNode2 - Open source, headless, multi-tenant eCommerce platform built with .NET Core, MongoDB, AWS DocumentDB, Azure CosmosDB, Vue.js

Skytable - Your next NoSQL database

MongoDB - NoSQL Document Store Database

Nosqlclient (Formerly Mongoclient) - Cross-platform and self hosted, easy to use, intuitive mongodb management tool

Bagri - XML/Document DB on top of distributed cache

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