OrientDB - The NoSQL Graph-Document DBMS

  •        3200

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/

Tags
Implementation
License
Platform

   




Related Projects

UnQLite - An Embeddable NoSQL Database Engine


UnQLite is a in-process software library which implements a self-contained, serverless, zero-configuration, transactional NoSQL database engine. UnQLite is a document store database as well a standard Key/Value store. The database file format is cross-platform, you can freely copy a database between 32-bit and 64-bit systems or between big-endian and little-endian architectures.

MongoDB - NoSQL Document Store 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.

ArangoDB - The Multi-purpose NoSQL DB


ArangoDB is a multi-purpose open-source database with flexible data model for documents, graphs, and key-values. Build high performance application using a convenient sql-like query language or JavaScript/Ruby extensions. Its key features are Schema-free, Convenient querying using AQL, Extendable through JS, Space efficiency, Supports modern storage hardware, like SSD and large caches and lot more.

LokiJS - A fast, in-memory document-oriented datastore for node.js, browser and cordova


LokiJS is a document oriented database, Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. It runs in node (including cordova/phonegap and node-webkit) and the browser. It is ideal for client-side in-memory db is ideal (e.g., a session store), data sets loaded into a browser page and synchronised at the end of the work session etc.

RaptorDB - The Document Store


NoSql, JSON based, Document store database with compiled .net map functions and automatic hybrid bitmap indexing and LINQ query filters



BangDB - NoSQL for Real Time Performance


Bangdb is pure vanilla key value nosql data store. The goal of bangdb is to be fast, reliable, robust, scalable and easy to use data store for various data management services required by applications. Bangdb comes in flavors like Embedded In memory, Network, Distributed data grid/ Elastic Cache. The bangdb is highly concurrent and runs parallel operations as much as possible.

OrientDB - OrientDB document-graph nosql database


OrientDB document-graph nosql database

CodernityDB - Pure python, NoSQL, Fast Database


CodernityDB is pure python (no 3rd party dependency), fast multi-platform, schema-less, NoSQL database. It has optional support for HTTP server version (CodernityDB-HTTP), and also Python client library (CodernityDB-PyClient) that aims to be 100% compatible with embeded version. It is an advanced key-value database, with multiple key-values indexes in the same engine. It has support for Multiple indexes, Custom storage, Sharding.

Bagri - XML/Document DB on top of distributed cache


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.

Berkeley DB - Embeddable Databases to Meet Your Needs


Oracle Berkeley DB provides the best open source embeddable databases allowing developers the choice of SQL, Key/Value, XML/XQuery or Java Object storage for their data model. At its core is a fast, scalable, transactional database engine with proven reliability and availability. Berkeley DB comes three versions: Berkeley DB, Berkeley DB Java Edition, and Berkeley DB XML.

TinyDB - Lightweight Document Oriented Database


TinyDB is a lightweight document oriented database optimized for your happiness. It's written in pure Python and has no external dependencies. The target are small apps that would be blown away by a SQL-DB or an external database server. TinyDB neither needs an external server nor any dependencies from PyPI. You can easily extend TinyDB by writing new storages or modify the behaviour of storages with Middlewares.

WhiteDB - NoSQL Memory Database in C


WhiteDB is a lightweight NoSQL database library written in C, operating fully in main memory. There is no server process. Data is read and written directly from/to shared memory, no sockets are used between WhiteDB and the application program. It supports indexes (T-tree), concurrency through locking, persistence through logging and memory dumps, json, CSV and RDF support, easy to use in embedded systems and lot more.

havalo - Non Distributed NoSQL Key Value Store


A zero configuration, non-distributed NoSQL key-value store that runs in any Servlet 3.0 compatible container. With Havalo, simply drop havalo.war into your favorite Servlet 3.0 compatible container and with almost no configuration you'll have access to a fast and lightweight K,V store backed by any local mount point for persistent storage.

Metakit - embedded database library with small footprint


Metakit is an embedded database library with a small footprint. It fills the gap between flat-file, relational, object-oriented, and tree-structured databases, supporting relational joins, serialization, nested structures, and instant schema evolution

RethinkDB - Distributed JSON database


RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn. It supports JSON data model, Distributed joins, subqueries, aggregation, atomic updates, Hadoop-style map/reduce.

tonto - NoSQL key-value document store with git


NoSQL key-value document store with git

tiedot - Your NoSQL database powered by Golang


tiedot is a document database engine that uses JSON as document notation; it has a powerful query processor that supports advanced set operations; it can be embedded into your program, or run a stand-alone server using HTTP for an API. It runs on *nix and Windows operating systems.tiedot has fault-tolerant data structures that put your data safety first, while easily scales to 4+ CPU cores.

RocksDB - A persistent key-value store for fast storage environments


RocksDB is an embeddable persistent key-value store for fast storage. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation. It is especially suited for storing data on flash drives. It has multi-threaded compactions, making it specially suitable for storing multiple terabytes of data in a single database.

RavenDB - NoSQL Database .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.

couchbase-lite-ios - Lightweight, embedded, syncable NoSQL database engine for iOS (and Mac!) apps.


Couchbase Lite is an embedded lightweight, document-oriented (NoSQL), syncable database engine.Latency matters a lot to users, so a local database takes frustration out of the equation. It’s got JSON documents, and the same map/reduce as Couchbase Server, in a pint-sized edition.