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DBMS > EXASOL vs. Neo4j vs. RDF4J vs. Spark SQL

System Properties Comparison EXASOL vs. Neo4j vs. RDF4J vs. Spark SQL

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonNeo4j  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Open source graph databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSGraph DBMSRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#89  Overall
#44  Relational DBMS
Score51.21
Rank#22  Overall
#1  Graph DBMS
Score0.39
Rank#223  Overall
#11  RDF stores
Score16.95
Rank#35  Overall
#21  Relational DBMS
Websitewww.exasol.com/­en/­productsneo4j.comrdf4j.orgspark.apache.org/­sql
Technical documentationwww.exasol.com/­en/­community/­resourcesneo4j.com/­docsdocs.rdf4j.orgspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperExasolNeo4j, Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software Foundation
Initial release2000200720042014
Current release4.0.0, January 20202.4.5, February 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0
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, ScalaJavaScala
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesschema-free and schema-optionalyes infoRDF Schemasyes
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.nono
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyesno
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statements
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyes infoUser defined Procedures and Functionsyesno
Triggersyesyes infovia event handleryesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)nono
More information provided by the system vendor
EXASOLNeo4jRDF4J infoformerly known as SesameSpark SQL
Specific characteristicsNeo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesNeo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» 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
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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
EXASOLNeo4jRDF4J infoformerly known as SesameSpark SQL
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