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DBMS > GridGain vs. Neo4j vs. Stardog

System Properties Comparison GridGain vs. Neo4j vs. Stardog

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonNeo4j  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteOpen source graph databaseSemantic graph DBMS, developed in Java
Primary database modelKey-value store
Relational DBMS
Graph DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#112  Overall
#20  Key-value stores
#57  Relational DBMS
Score51.03
Rank#22  Overall
#1  Graph DBMS
Score0.75
Rank#167  Overall
#12  Graph DBMS
#7  RDF stores
Websitewww.gridgain.comneo4j.comwww.stardog.com
Technical documentationdocs.gridgain.com/­docsneo4j.com/­docswww.stardog.com/­docs
DeveloperGridGain Systems, Inc.Neo4j, Inc.Complexible Inc.
Initial release200720072010
Current releaseGridGain 8.5.13.5.4, April 20194.2.4, March 2017
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJava, ScalaJava
Server operating systemsLinux
OS X
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java VM
Data schemeyesschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesno infoImport/export of XML data possible
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSPARQL is used as query language
APIs and other access methodsHDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP API
OWL
SPARQL
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoUser defined Procedures and Functionsno
Triggersyes (cache interceptors and events)yes infovia event handleryes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-master replication in HA-Cluster infousing Apache ZooKeeper
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users and roles
More information provided by the system vendor
GridGainNeo4jStardog
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

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23 May 2019

Information Sharing for Enterprise Architects at the DHS
22 May 2019

Graphs in Government: MITRE
20 May 2019

This Week in Neo4j – Why Kettle?, Pokémons in a Graph, Influencers in the Graph Community
18 May 2019

Think About What You’re Building: 5-Minute Interview with Stephen O’Grady
17 May 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridGainNeo4jStardog
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Recent citations in the news

GridGain Joins Cloud Native Computing Foundation
21 May 2019, GlobeNewswire

GridGain Announces Initial Keynotes for In-Memory Computing Summit Europe
7 May 2019, GlobeNewswire

GridGain Community Edition Brings Production Readiness to Apache Ignite
5 March 2019, GlobeNewswire

GridGain Unveils Support Offering for Apache Ignite
5 February 2019, GlobeNewswire

GridGain Cloud In-Memory-Computing-Platform-as-a-Service Adds Automatic Data Persistence, High Availability and Immediate Restarts
10 January 2019, GlobeNewswire

provided by Google News

New O'Reilly Graph Algorithms Book Now Available
24 April 2019, PRNewswire

AWS IAM, Amazon Neptune RDF, Microsoft Azure Cosmos DB, and Neo4j 3.5 Support Enhances Data Access and Enterprise Security
9 May 2019, PR Web

Global Graph Database Market 2019 – triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley, Titan
13 May 2019, Biz Trends 24

Neo4j raises $80 million for next-generation graph databases
1 November 2018, VentureBeat

Global Graph Database Market 2019 Scope – triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley, Titan
2 May 2019, Market Talk News

provided by Google News

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