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DBMS > Neo4j vs. Stardog vs. TigerGraph

System Properties Comparison Neo4j vs. Stardog vs. TigerGraph

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonStardog  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionOpen source graph databaseEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoningA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelGraph DBMSGraph DBMS
RDF store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.98
Rank#22  Overall
#1  Graph DBMS
Score0.73
Rank#175  Overall
#13  Graph DBMS
#7  RDF stores
Score0.76
Rank#168  Overall
#12  Graph DBMS
Websiteneo4j.comwww.stardog.comwww.tigergraph.com
Technical documentationneo4j.com/­docswww.stardog.com/­docswww.tigergraph.com/­documentation
DeveloperNeo4j, Inc.Stardog-Union
Initial release200720102017
Current release3.5.4, April 20196.2.3, July 2019
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
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, ScalaJavaC++
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Data schemeschema-free and schema-optionalschema-free and OWL/RDFS-schema supportyes
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 possibleno
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoSPARQL is used as query languageSQL-like query language (GSQL)
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
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
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsuser defined functions and aggregates, HTTP Server extensions in Javayes
Triggersyes infovia event handleryes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesnonenone
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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
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-Cluster
Foreign keys infoReferential integrityyes infoRelationships in graphsyes 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.yesno
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users and rolesRole-based access control
More information provided by the system vendor
Neo4jStardogTigerGraph
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Stardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Stardog is uniquely designed to aid in data integration for your complex data. Benefits...
» more
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Visa, Uber, AliPay, SoftBank, Wish, China Mobile, State Grid of China, and Zillow
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
TigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more
Developer & Enterprise Edition: https://www.tigergraph.com/download/ Pricing is available...
» more
News

Graphs in Banking: Integration with AI & Machine Learning [Video]
16 July 2019

Toward AI Standards: Context Makes AI More Robust
15 July 2019

This Week in Neo4j – GraphConnect 2020 Registration Now Open, Data Discovery at Lyft, Finding Motifs in Cypher for Fun and Profit
13 July 2019

Compliance at Scale: 5-Minute Interview with Lloyd Byrd
12 July 2019

Build the Future: GraphConnect 2020 Registration Is Officially Open
11 July 2019

Related products and services

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More resources
Neo4jStardogTigerGraph
DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

show all

Conferences and events

GraphConnect 2020
New York, USA, 20-22 April 2020

Recent citations in the news

Neo4j: How a lack of context awareness is hampering AI development | Technology
17 July 2019, Business Chief

Graph Database Market 2019 Value Chain Analysis – triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
17 July 2019, Micro Finance Ledger

Graph Databases Go Mainstream
18 July 2019, Forbes

Graph Database Market Trending Research 2019 – triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
10 July 2019, Micro Finance Recorder

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

provided by Google News

TigerGraph Receives One of the Highest Ratings in Gartner Peer Insights 'Voice of the Customer': Data Management Solutions for Analytics Report
25 June 2019, GlobeNewswire

TigerGraph Celebrates Record-Breaking Year of Growth as Demand For Fastest, Most Scalable Graph Analytics Platform Continues to Soar
13 February 2019, GlobeNewswire

Why Experts See Graph Databases Headed for Mainstream Use
5 July 2019, eWeek

Experts Discuss Data Science and Machine Learning Best Practices
24 June 2019, Database Trends and Applications

TigerGraph Brings Pay-As-You-Go Graph Analytics to the Cloud with New Offering on Amazon Web Services (AWS), Achieves AWS Advanced Partner Status
17 April 2019, GlobeNewswire

provided by Google News

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