Fully Transactional NoSQL Database
RavenDB is perfect for OLTP tasks like processing sales, purchases and more.
Multi-Model Architecture
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
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
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
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
Multiplatform
- Windows
- Linux
- Mac OS
- Docker
- and even on Raspberry Pi!
- C#
- Node.js
- Java
- Python
- Ruby
- Go
Download free
- 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
NoSQL Database News
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On Replacing Lucene
My previous post got an interesting comment:I smell a Lucene.NET replacement for Raven 5 in the future :-)I wanted to... -
Building a Database for Today’s Data
Performance? Edge Processing? Data Integrity? What to consider in a database that will process modern data for minimal time, money, and developer resources.
See also
Articles | Events | Media | Use Cases | Industry Reports | Whitepapers | Podcasts | Press Releases
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