Displaying 1 to 20 from 88 results

OrientDB - The NoSQL Graph-Document DBMS

  •    Java

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.

HyperGraphDB - Database for Storing Strongly-Typed Hypergraphs

  •    Java

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.

JanusGraph - Distributed graph database

  •    Java

JanusGraph 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.




agensgraph - AgensGraph, a transactional graph database based on PostgreSQL

  •    C

AgensGraph 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.

Gaffer - A large-scale entity and relation database supporting aggregation of properties

  •    Java

Gaffer 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.

neo4j - An active model wrapper for the Neo4j Graph Database for Ruby.

  •    Ruby

Neo4j.rb is an Active Model compliant Ruby/JRuby wrapper for the Neo4j graph database. It uses the neo4j-core and active_attr gems.


Dgraph - Fast, Transactional, Distributed Graph Database

  •    Go

Dgraph 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.

crux - General purpose bitemporal database for SQL, Datalog & graph queries

  •    Clojure

Crux is a general purpose database with graph-oriented bitemporal indexes. Datalog, SQL & EQL queries are supported, and Java, HTTP & Clojure APIs are provided. Crux follows an unbundled architectural approach, which means that it is assembled from decoupled components through the use of an immutable log and document store at the core of its design. A range of storage options are available for embedded usage and cloud native scaling.

Neo4j - Graph Database

  •    Java

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.

terminusdb - Open source graph database and document store

  •    Prolog

TerminusDB is an open-source graph database and document store. It is designed for collaboratively building data-intensive applications and knowledge graphs. If you want to collaborate with colleagues or build data-intensive applications, nothing will make you more productive. It is a native revision control database that is architecturally similar to Git and other distributed version control systems.

typedb - TypeDB: a strongly-typed database

  •    Java

TypeDB is a strongly-typed database with a rich and logical type system. TypeDB empowers you to tackle complex problems, and TypeQL is its query language. TypeDB allows you to model your domain based on logical and object-oriented principles. Composed of entity, relationship, and attribute types, as well as type hierarchies, roles, and rules, TypeDB allows you to think higher-level as opposed to join-tables, columns, documents, vertices, edges, and properties.

ArangoDB - The Multi-purpose NoSQL DB

  •    C++

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.

neography - A thin Ruby wrapper to the Neo4j Rest API

  •    Ruby

Read the wiki for information about dependencies. Rake tasks are available for downloading, installing and running Neo4j.

FlockDB - A distributed, fault-tolerant graph database from Twitter

  •    Scala

FlockDB 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.

Cayley - An open-source Graph Database

  •    Go

Cayley 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.

neo4j-apoc-procedures - Awesome Procedures On Cypher for Neo4j 3

  •    Java

Neo4j 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.

Titan - Scalable Graph Database

  •    Java

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. 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.

Nebula Graph - A distributed, scalable, lightning-fast graph database

  •    C++

Nebula 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.






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