Top 16 Graph Databases : A graph database is based on graph theory, uses nodes, properties, and edges and provides index-free adjacency. These database uses graph structures with nodes, edges, and properties to represent and store data. Every element contains a direct pointer to its adjacent elements and no index lookups are necessary in a graph database.
Horton, HyperGraphDB, Neo4j, AllegroGraph, Oracle Spatial and Graph. Teradata Aster, ArangoDB, Graphbase, InfiniteGraph, Bitsy, DEX/Sparksee, Titan. VelocityGraph, VertexDB, InfoGrid, Oracle NoSQL Database are some of the top graph databases in no particular order.
Top 16 Graph Databases
Horton is a research project in the eXtreme Computing Group to enable querying large distributed graphs. It consists of a graph library built on top on Orleans that targets hosting large graphs in a data center. The library provides a querying interface to search the graph for matching paths.
HyperGraphDB is an open source data storage mechanism based on directed hypergraphs. This can be used as an embedded object-oriented database for Java projects of all sizes or a graph database or a (non-SQL) relational database.
Neo4j is an open-source graph database, implemented in Java. This is an embedded, disk-based, fully transactional Java persistence engine that stores data structured in graphs rather than in tables.
AllegroGraph is a modern, high-performance, persistent graph database. AllegroGraph uses efficient memory utilization in combination with disk-based storage, enabling it to scale to billions of quads while maintaining superior performance. AllegroGraph supports SPARQL, RDFS++, and Prolog reasoning from numerous client applications. AllegroGraph is designed to store RDF triples, a standard format for Linked Data. A custom browser, Gruff, is available for viewing the graph.
5.Oracle Spatial and Graph
Oracle Spatial and Graph supports a full range of geospatial data and analytics for land management and GIS, mobile location services, sales territory management, transportation, LiDAR analysis and location-enabled Business Intelligence. The graph features include RDF graphs for applications ranging from semantic data integration to social network analysis to linked open data and network graphs used in transportation, utilities, energy and telcos and drive-time analysis for sales and marketing applications
6. Teradata Aster
A high performance, multi-purpose, highly scalable and extensible MPP database incorporating patented engines supporting native SQL, MapReduce and Graph data storage and manipulation. An extensive set of analytical function libraries and data visualization capabilities are also provided.
Graphbase is a customizable, distributed, small-footprint graph store with a rich tool set.
InfiniteGraph is a distributed and cloud-enabled commercial product with flexible licensing.
Bitsy is a small, fast, embeddable, durable in-memory graph database that implements the Blueprints API.
DEX/Sparksee[ is a high performance and scalable graph database management system . The main characteristics is its query performance for the retrieval & exploration of large networks. Sparksee 5 mobile is the first graph database for mobile devices.
Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster.
VelocityGraph is an open source C# .NET hybrid NoSQL Graph Database and Object Database that can be Embedded/Distributed.
VertexDB is a high performance graph database server that supports automatic garbage collection.
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. InfoGrid is open source, and is being developed in Java as a set of projects.
16. Oracle NoSQL Database
RDF Graph for Oracle NoSQL Database is a feature of Enterprise Edition providing W3C RDF graph capabilities in NoSQL Database.