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OrientDB

What is Orient?

OrientDB is an Open Source NoSQL DBMS with the features of both Document and Graph DBMSs. It's written in Java and it's amazingly fast: it can store up to 150,000 records per second on common hardware. Even for a Document based database the relationships are managed as in Graph Databases with direct connections among records. You can traverse parts of or entire trees and graphs of records in a few milliseconds. Supports schema-less, schema-full and schema-mixed modes. Has a strong security profiling system based on user and roles and supports SQL amongst the query languages. Thanks to the SQL layer it's straightforward to use for people skilled in the Relational world.

Look also at Presentations with video and slides introducing OrientDB.

Gitter chat

Is OrientDB a Relational DBMS?

No. OrientDB adheres to the NoSQL movement even though it supports a subset of SQL as query language. In this way it's easy to start using it without having to learn too much new stuff. OrientDB is a Document Database but has the best features of other DBMSs. For example relationships are handled as in Graph Databases.

Scalability: the database is the bottleneck of most applications

The most common reason applications scale out badly is, very often, the database. The database is the bottleneck of most applications. OrientDB scales out very well on a single machine. A single server does the work of about 125 servers running MySQL. The transactional engine can run in distributed systems supporting up to 302,231,454,903,657 billion (2^78) records for the maximum capacity of 19,807,040,628,566,084 Terabytes of data distributed on multiple disks in multiple nodes.

I can't believe it! Why is it so fast?

OrientDB has been designed to be very fast. It inherits the best features and concepts from Object Databases, Graph DBMS and modern NoSQL engines. Furthermore it uses its own MVRB-Tree algorithm as a mix of Red-Black Tree and B+Tree. MVRB-Tree consumes about half memory of the Red-Black Tree implementation maintaining the original speed while it balances the tree on insertion/update. Furthermore the MVRB-Tree allows fast retrieving and storing of nodes in persistent way. Download the Benchmark PDF XGDBench: A Benchmarking Platform for Graph Stores in Exascale Clouds by Tokyo Institute of Technology and IBM Research.

How does it compare with other products?

Take a look at GraphDB comparison and DocumentDB comparison. Download the Benchmark PDF XGDBench: A Benchmarking Platform for Graph Stores in Exascale Clouds by Tokyo Institute of Technology and IBM Research.

Easy to install and use

Yes. OrientDB is totally written in Java and can run on any platform without configuration and installation. The full Server distribution is about 1Mb without the demo database. Do you develop with a language different than Java? No problem, look at the Programming Language Binding.

Professional services

OrientDB is free for any use (Apache 2 license). If you are in production don't miss the professional support service. For courses and training look at the on-line course catalog.

Getting started

Start learning OrientDB by following the first Tutorial.

Main References

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OrientDB document graph NoSQL dbms (database)

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