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DBMS > Neo4j vs. Stardog vs. Vertica

System Properties Comparison Neo4j vs. Stardog vs. Vertica

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonStardog  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionOpen source graph databaseSemantic graph DBMS, developed in JavaColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelGraph DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score51.03
Rank#22  Overall
#1  Graph DBMS
Score0.75
Rank#167  Overall
#12  Graph DBMS
#7  RDF stores
Score23.37
Rank#28  Overall
#16  Relational DBMS
Websiteneo4j.comwww.stardog.comwww.vertica.com
Technical documentationneo4j.com/­docswww.stardog.com/­docswww.vertica.com/­documentation/­vertica
DeveloperNeo4j, Inc.Complexible Inc.Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release200720102005
Current release3.5.4, April 20194.2.4, March 2017Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availablecommercial infoLimited community edition freecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaJava
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java VMLinux
Data schemeschema-free and schema-optionalschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
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.no infoImport/export of XML data possibleyes
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoSPARQL is used as query languageyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsBolt 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
Kafka
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsnoyes
Triggersyes infovia event handleryes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-master replication in HA-Cluster infousing Apache ZooKeeperMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes inforelationships in graphsyes
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.yes
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Neo4jStardogVertica infoVertica Analytics Platform
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» 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
Cost-based models and subscription-based models are available
» 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
Neo4jStardogVertica infoVertica Analytics Platform
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Recent citations in the news

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

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

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

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

Neo4j and Google Cloud Enter into Strategic Partnership
10 April 2019, MarTech Advisor

provided by Google News

You Can't Do Machine Learning Inside a Database. Can You?
1 April 2019, Datanami

GoodData Expands Its Open Cloud Strategy with Vertica Partnership
12 March 2019, GlobeNewswire

Vertica Analytics Deliver 270% ROI for Wandera, Nucleus Research Finds
10 December 2018, Business Wire

Inside the Democrats’ Plan to Fix Their Crumbling Data Operation
2 April 2019, WIRED

TigerGraph, Dow Jones DNA and Vertica Analytics Named Winners of First-Ever Strata Data Awards
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