NoSQL Document Database

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RavenDB NoSQL Document Database

Fully Transactional NoSQL Database

Get the benefits of NoSQL while keeping the most essential parts of a relational database.

RavenDB is perfect for OLTP tasks like processing sales, purchases and more.

Multi-Model Architecture

RavenDB supports automatic ETL (Extract, Transform and Load) processes to replicate data to SQL solutions.

As an ACID database, you can use RavenDB in conjunction with your existing SQL databases and enjoy the best of both worlds.

All-in-One Database

Our in-house storage engine is designed to serve all your needs in one place.

You have at your fingertips features you would usually have to plug in from someplace else, saving you time and money. We automate a lot of tasks to reduce your overhead so there is less need for costly support.

Easy to Use

RavenDB is easy to install, implement, and use.

There is a small ramp up to learn. Our high-quality GUI with heavy built-in monitoring and SQL-based query language makes RavenDB user friendly for developers and non-developers alike.

Scale Up Fast

Setting up a cluster is as simple as point and click in the RavenDB Management Studio.

Keep up with the ever-increasing amounts of data and web traffic effectively and efficiently by creating new database nodes within minutes.

High Availability

Real time replication between nodes keeps your database online and available across multiple points at all times.

Your cluster keeps working amidst network partition. Balance load, reduce latency, and optimize performance within multiple locations to serve your users.

Faster than ever

Manage over 1 million reads
per second and 150,000 writes
on simple commodity hardware.

Try our new Studio

  • FREE with every license
  • Stunning & intuitive UI
  • Live monitoring
  • Effortless configuration
  • Comprehensive performance statistics
  • Deep insight into database internals
  • Extensive logging & incident reporting
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RavenDB Management Studio


  • Windows
  • Linux
  • Mac OS
  • Docker
  • and even on Raspberry Pi!
  • C#
  • Node.js
  • Java
  • Python
  • Ruby
  • Go
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As a document database it remains true to the core principles of these type of storage mechanisms. Somehow it managed to combine the best of relational databases with that of document databases.
Hadi Hariri

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  • 3 Cores, and a distributed data cluster of 3 nodes
  • Connectivity secured with TLS 1.2 and X.509 certificates
  • 6 GB memory
  • A GUI Management Studio
  • Easy compatibility with cloud solutions like AWS, Azure, and more
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