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DBMS > Neo4j vs. Spark SQL vs. Stardog

System Properties Comparison Neo4j vs. Spark SQL vs. Stardog

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonSpark SQL  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionOpen source graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMSRelational DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.27
Rank#22  Overall
#1  Graph DBMS
Score17.90
Rank#34  Overall
#21  Relational DBMS
Score1.15
Rank#145  Overall
#11  Graph DBMS
#6  RDF stores
Websiteneo4j.comspark.apache.org/­sqlwww.stardog.com
Technical documentationneo4j.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.stardog.com/­docs
DeveloperNeo4j, Inc.Apache Software FoundationStardog-Union
Initial release200720142010
Current release4.0.4, May 20202.4.5, February 20207.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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, ScalaScalaJava
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-free and schema-optionalyesschema-free and OWL/RDFS-schema support
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 indexesyes infopluggable indexing subsystem, by default Apache Lucenenoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Java
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes infovia event handlernoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynoneMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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 graphsnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.noyes
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)noAccess rights for users and roles
More information provided by the system vendor
Neo4jSpark SQLStardog
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Stardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Stardog provides a full featureset to aid in data integration for your complex data....
» 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 – Identifying Graph Shaped Problems, New Neo4j Online Training Courses, Small-world phenomena
6 June 2020

Announcing New Neo4j Online Training Courses!
4 June 2020

Creative Use of Network Science with Graph Commons
3 June 2020

Analytical Subgraph Overlays in Neo4j
2 June 2020

Graph-Powered Recommendations: A Framework for Faster Development
1 June 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Neo4jSpark SQLStardog
DB-Engines blog posts

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Recent citations in the news

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29 May 2020, Cole of Duty

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An Overview of Spark SQL
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provided by Google News

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