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DBMS > Neo4j vs. Stardog vs. TinkerGraph vs. WakandaDB

System Properties Comparison Neo4j vs. Stardog vs. TinkerGraph vs. WakandaDB

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonStardog  Xexclude from comparisonTinkerGraph  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionOpen source graph databaseEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoningA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelGraph DBMSGraph DBMS
RDF store
Graph DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score51.66
Rank#22  Overall
#1  Graph DBMS
Score0.81
Rank#165  Overall
#13  Graph DBMS
#7  RDF stores
Score0.13
Rank#268  Overall
#22  Graph DBMS
Score0.08
Rank#284  Overall
#14  Object oriented DBMS
Websiteneo4j.comwww.stardog.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwakanda.github.io
Technical documentationneo4j.com/­docswww.stardog.com/­docsdoc.wakanda.org/­home2.en.html#/­Datastore/­Introduction.200-588937.en.html
DeveloperNeo4j, Inc.Stardog-UnionWakanda SAS
Initial release2007201020092012
Current release4.0.0, January 20206.2.3, July 20192.1.0, July 2017
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/studentsOpen Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaJavaJavaC++, JavaScript
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-free and schema-optionalschema-free and OWL/RDFS-schema supportschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 possiblenono
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLnoSPARQL is used as query languagenono
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
TinkerPop 3RESTful HTTP API
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Groovy
Java
JavaScript
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsuser defined functions and aggregates, HTTP Server extensions in Javanoyes
Triggersyes infovia event handleryes infovia event handlersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMaster-master replication in HA-Clusternonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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-ClusternoneImmediate Consistency
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 dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users and rolesnoyes
More information provided by the system vendor
Neo4jStardogTinkerGraphWakandaDB
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
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
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
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
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
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
News

This Week in Neo4j – Managing Multiple Databases, When and how to implement Sharding, Building Possibility Spaces with Neo4j and ReactJS, Australian Open Graph
25 January 2020

This Week in Neo4j – Discovering the Soul of a Product, UK Singles Chart Graph, Building Real-Time UIs with Kafka and Vue.js
18 January 2020

Creating Aha Moments for Developers: The 5-Minute Interview with Jennifer Reif, Developer Relations Engineer at Neo4j
17 January 2020

Graphs to Fight Diabetes
15 January 2020

This Week in Neo4j – Analyzing .NET Dependencies, Coloring a Sudoku Graph, Christmas Messages Graph, Making Graph Algorithms ‘Clique’
11 January 2020

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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
Neo4jStardogTinkerGraphWakandaDB
DB-Engines blog posts

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Conferences and events

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

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Neo4j is the Graph Database of Choice for World's Top Financial Services Organizations
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