OrientDB - The NoSQL Graph-Document DBMS
OrientDB has the flexibility of the Document databases and the power of the Graph databases to manage relationships. It can work in schema-less mode, schema-full or a mix of both. It can store up to 150,000 records per second on common hardware. OrientDB has been designed to be very fast. It inherits the best features and concepts from the Object Databases, Graph DBMS and the modern NoSQL engines.
Source code location: http://code.google.com/p/orient/
http://www.orientechnologies.com/
1114
comments powered by Disqus
Related Products
MongoDB
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.
Redis - advanced key-value store
Redis is an advanced key-value store. It is similar to memcached but the dataset is not volatile, and values can be strings, exactly like in memcached, but also lists, sets, and ordered sets. All this data types can be manipulated with atomic operations to push/pop elements, add/remove elements, perform server side union, intersection, difference between sets, and so forth. Redis supports different kind of sorting abilities.
Memcached - distributed object caching system
Memcached is high-performance, distributed memory object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load. Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
Gremlin - Graph Traversal Language
Gremlin is a graph traversal language. Gremlin works over those graph databases or frameworks that implement the Blueprints property graph data model. It works beter with graph database like TinkerGraph, Neo4j, OrientDB, DEX, Rexster, and Sail RDF Stores. This language has application in the areas of graph query, analysis, and manipulation.
Neo4j - Graph Database
Neo4j is a high-performance graph engine with all the features of a mature and robust database. It is a graph database, storing data in the nodes and relationships of a graph. It includes the usual database features like ACID transactions, durable persistence, concurrency control, transaction recovery, high availability.
HyperGraphDB - Database for Storing Strongly-Typed Hypergraphs
HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly for Knowledge management, Artificial Intelligence and Semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. It could also be used as graph database or as (non-SQL) relational database.
CouchDB
Apache CouchDB is a document-oriented database that can be queried and indexed in a MapReduce fashion using JavaScript. CouchDB also offers incremental replication with bi-directional conflict detection and resolution.
Raven DB - document database for .NET
Raven is an document database for the .NET/Windows platform. Raven offers a flexible data model design to fit the needs of real world systems. Raven stores schema-less JSON documents, allow you to define indexes using Linq queries and focus on low latency and high performance.
Hyperdex - A Searchable Distributed Key-Value Store
HyperDex is a distributed, searchable key-value store. HyperDex provides a unique search primitive which enables searches over stored values. By design, HyperDex retains the performance of traditional key-value stores while enabling support for the search operation. It is fast, scalable, Consistent, Fault tolerant.
Infogrid - Web Graph Database
InfoGrid is a Web Graph Database with a many additional software components that make the development of REST-ful web applications on a graph foundation easy. GraphDatabase is the heart of InfoGrid. Graph database could be replicated across servers. It provides an common interface to store data either in file system or relational or non-relational database.
