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DBMS > Datastax Enterprise vs. Neo4j vs. Stardog

System Properties Comparison Datastax Enterprise vs. Neo4j vs. Stardog

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonNeo4j  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Open source graph databaseSemantic graph DBMS, developed in Java
Primary database modelWide column storeGraph DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.59
Rank#43  Overall
#4  Wide column stores
Score51.03
Rank#22  Overall
#1  Graph DBMS
Score0.75
Rank#167  Overall
#12  Graph DBMS
#7  RDF stores
Websitewww.datastax.com/­products/­datastax-enterpriseneo4j.comwww.stardog.com
Technical documentationdocs.datastax.comneo4j.com/­docswww.stardog.com/­docs
DeveloperDataStaxNeo4j, Inc.Complexible Inc.
Initial release201120072010
Current release6.7, December 20183.5.4, 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 languageJavaJava, ScalaJava
Server operating systemsLinux
OS X
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java VM
Data schemeschema-freeschema-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.nono infoImport/export of XML data possible
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoSPARQL is used as query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
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#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsno
Triggersyesyes infovia event handleryes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingCausal 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 methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Causal 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 datano infoAtomicity and isolation are supported for single operationsACIDACID
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 controlAccess rights for users can be defined per objectUsers, 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
Datastax EnterpriseNeo4jStardog
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsAnnual subscription
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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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
Datastax EnterpriseNeo4jStardog
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Conferences and events

DataStax Accelerate, Apache Cassandra Conference
National Harbor, Maryland, USA, 21-23 May 2019

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