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dgraph - Fast, Distributed Graph DB
Scalable, Distributed, Low Latency, High Throughput Graph Database.Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC.
graph-database database distributed throughput latency productionOrientDB - 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.
database graph-database nosql document-store key-value-store embedded-db document-orientedHyperGraphDB - 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.
database graph-database embedded-database no-sqlJanusGraph - Distributed graph database
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.
graph-database tinkerpop gremlin hbase cassandra elasticsearch solr bigtable distributedArangoDB - 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.
database nosql no-sql key-value key-value-store graph-database document-databaseTitan - Scalable Graph Database
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.
graph-database database scalable distributed transactional-database graphNeo4j - 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.
database graph-database embedded-database no-sqlGUN - A realtime, decentralized, offline-first, graph database engine
GUN 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 realtimeneography - A thin Ruby wrapper to the Neo4j Rest API
Read the wiki for information about dependencies. Rake tasks are available for downloading, installing and running Neo4j.
neo4j neography neo4j-driver graphs graph-databaseFlockDB - A distributed, fault-tolerant graph database from Twitter
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.
graph-database nosql-database database nosql distributed graph scalableCayley - An open-source Graph Database
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.
database graph-database graph semantic linked-dataneo4j-apoc-procedures - Awesome Procedures On Cypher for Neo4j 3
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.
graph-database graph-algorithms stored-procedures neo4j neo4j-pluginSTINGER - In-memory graph store and dynamic graph analysis platform
STINGER is a package designed to support streaming graph analytics by using in-memory parallel computation to accelerate the computation. STINGER is composed of the core data structure and the STINGER server, algorithms, and an RPC server that can be used to run queries and serve visualizations.
graph-database graph-analysis graph-analytics nosql in-memoryInfogrid - 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.
database graph-databaseBio4j - Bioinformatics Graph based DB
Bio4j is a bioinformatics graph based DB including most data available in Uniprot KB (SwissProt + Trembl), Gene Ontology (GO), UniRef (50,90,100), RefSeq, NCBI Taxonomy, and Expasy Enzyme DB. Bio4j provides a completely new and powerful framework for protein related information querying and management. Since it relies on a high-performance graph engine, data is stored in a way that semantically represents its own structure.
bioinformatics graph-database database graphsGraphlite - Embedded graph databases for Python
Graphlite is an embedded graph databases for Python. Graphlite aims to change that by building a simple and fast graph layer over SQLite. Similar to FlockDB, Graphlite only stores adjacency lists, but they can be queried in the style of normal graph databases, e.g. with traversals.
graph-database nosql in-memory graph-store embeddedgremlin-scala - Scala wrapper for Apache TinkerPop 3 Graph DSL
A wrapper to use Apache Tinkerpop3 - a JVM graph traversal library - from Scala. The examples project comes with working examples for different graph databases. Typically you just need to add a dependency on "com.michaelpollmeier" %% "gremlin-scala" % "SOME_VERSION" and one for the graph db of your choice to your build.sbt (this readme assumes tinkergraph). The latest version is displayed at the top of this readme in the maven badge.
gremlin graph-database graph type-safe graphdbGraphServer
GraphServer 0.1 is a .NET based Graph Database system. It provide unique features such as graph user controls, graph views, sub-graph support, VS Integration.
graph-database semantics.Net Neo4j Rest Client
Neo4jRestSharp is a .Net client for the Neo4j Rest Server. Neo4j is an open sourced java based transactional graph database that stores data structured in graphs rather than in tables.
neo4j graph graph-database graph-theory rest restfuljseg - A super simple, in-memory, JS graph database.
A in-memory graph database for JavaScript data. This is version 2 with lots of new/improved stuff and is deployed in at least one real product. I'm not personally working on that product anymore, but this version has been pretty stable and useful there, so I don't expect much if any churn. I'm unlikely to consider major feature requests, but bug fixes are still welcome.
graph-database json datomic graphql relaySocial Icons
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