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.
database graph-database nosql document-store key-value-store embedded-db document-orientedHyperGraphDB 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.
database graph-database embedded-database no-sqlJanusGraph is a highly scalable graph database optimized for storing and querying large graphs with billions of vertices and edges distributed across a multi-machine cluster. JanusGraph is a transactional database that can support thousands of concurrent users, complex traversals, and analytic graph queries.
graph-database tinkerpop gremlin hbase cassandra elasticsearch solr bigtable distributedOrientDB NoSQL document graph dbms
orientdb graph-database document-database dbms nosql graph-store multi-master multi-model-dbms database performance fast sqlArangoDB is a multi-model, open-source database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. Use ACID transactions if you require them. Scale horizontally with a few mouse clicks. The supported data models can be mixed in queries and allow ArangoDB to be the aggregation point for your data.
multi-model graph-database document-database key-value database distributed-database arangodb nosql graphdbThe Knowledge Graph
grakn graql knowledge-base knowledge-graph knowledge-representation reasoning relational-databases hyper-relational database graph graph-database graph-visualization logic deductions knowledge-engineering enterprise-knowledge-graph knowledge-engine query-language hyper-relational-database inferenceAgensGraph is a new generation multi-model graph database for the modern complex data environment. AgensGraph is a multi-model database, which supports the relational and graph data model at the same time that enables developers to integrate the legacy relational data model and the flexible graph data model in one database. AgensGraph supports ANSI-SQL and openCypher (http://www.opencypher.org). SQL queries and Cypher queries can be integrated into a single query in AgensGraph. AgensGraph is based on the powerful PostgreSQL RDBMS, and is very robust, fully-featured and ready for enterprise use. AgensGraph is optimized for handling complex connected graph data and provides plenty of powerful database features essential to the enterprise database environment including ACID transactions, multi-version concurrency control, stored procedure, triggers, constraints, sophisticated monitoring and a flexible data model (JSON). Moreover, AgensGraph leverages the rich eco-systems of PostgreSQL and can be extended with many outstanding external modules, like PostGIS.
graph-database multi-model-database postgresql enterprise nosql graphdbGaffer is a graph database framework. It allows the storage of very large graphs containing rich properties on the nodes and edges. Several storage options are available, including Accumulo, Hbase and Parquet. It is designed to be as flexible, scalable and extensible as possible, allowing for rapid prototyping and transition to production systems.
accumulo graph graph-database hadoop big-data aggregation hbase parquet sparkNeo4j.rb is an Active Model compliant Ruby/JRuby wrapper for the Neo4j graph database. It uses the neo4j-core and active_attr gems.
neo4j orm railtie graph-databaseDgraph is a horizontally scalable and distributed graph database, providing ACID transactions, consistent replication and linearizable reads. It's built from ground up to perform for a rich set of queries. Being a native graph database, it tightly controls how the data is arranged on disk to optimize for query performance and throughput, reducing disk seeks and network calls in a cluster.
graph-database database distributed throughput latency production graphql-serverArangoDB 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.
database nosql no-sql key-value key-value-store graph-database document-databaseNeo4j 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.
database graph-database embedded-database no-sqlGUN is a realtime, distributed, offline-first, graph database engine. Lightweight and powerful. GUN does state synchronization out of the box. It is peer-to-peer by design, meaning you have no centralized database server to maintain. It has offline support, works even without internet. Users can save data offline and when when the network comes back online GUN will automatically synchronize the data.
graph-database nodb database javascript-database distributed-cache cache peer-to-peer realtimeRead the wiki for information about dependencies. Rake tasks are available for downloading, installing and running Neo4j.
neo4j neography neo4j-driver graphs graph-databaseFlockDB is much simpler than other graph databases such as neo4j because it tries to solve fewer problems. It scales horizontally and is designed for on-line, low-latency, high throughput environments such as web-sites. Twitter uses FlockDB to store social graphs (who follows whom, who blocks whom) and secondary indices. As of April 2010, the Twitter FlockDB cluster stores 13+ billion edges and sustains peak traffic of 20k writes/second and 100k reads/second.
graph-database nosql-database database nosql distributed graph scalableCayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned.
database graph-database graph semantic linked-dataNeo4j 3.2 has increased security for procedures and functions (aka sandboxing). Procedures that use internal APIs have to be allowed in $NEO4J_HOME/conf/neoj4.conf with, e.g. dbms.security.procedures.unrestricted=apoc.trigger.*,apoc.meta.* for security reasons (or apoc.* for all). If you want to use this via docker, you need to amend -e NEO4J_dbms_security_procedures_unrestricted=apoc.\\\* to your docker run … command. The three backslashes are necessary to prevent wildcard expansions.
graph-database graph-algorithms stored-procedures neo4j neo4j-pluginTitan 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. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals. It is a native Blueprints enabled graph database and as such, it supports the full TinkerPop stack of technologies.
graph-database database scalable distributed transactional-database graphNebula Graph is an open-source graph database capable of hosting super large-scale graphs with billions of vertices (nodes) and trillions of edges, with milliseconds of latency. It delivers enterprise-grade high performance to simplify the most complex data sets imaginable into meaningful and useful information.
graph-database distributed database graphdb raft cpp distributed-databaseApache TinkerPop is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP). When a data system is TinkerPop-enabled, its users are able to model their domain as a graph and analyze that graph using the Gremlin graph traversal language. Furthermore, all TinkerPop-enabled systems integrate with one another allowing them to easily expand their offerings as well as allowing users to choose the appropriate graph technology for their application.
graph-database database-framework graph grapghdb graph-framework
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