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DBMS > EXASOL vs. GraphDB vs. Manticore Search vs. Memcached vs. RDF4J

System Properties Comparison EXASOL vs. GraphDB vs. Manticore Search vs. Memcached vs. RDF4J

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonManticore Search  Xexclude from comparisonMemcached  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Multi-storage database for search, including full-text search.In-memory key-value store, originally intended for cachingRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSGraph DBMS
RDF store
Search engineKey-value storeRDF store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score0.29
Rank#302  Overall
#21  Search engines
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.exasol.comwww.ontotext.commanticoresearch.comwww.memcached.orgrdf4j.org
Technical documentationwww.exasol.com/­resourcesgraphdb.ontotext.com/­documentationmanual.manticoresearch.comgithub.com/­memcached/­memcached/­wikirdf4j.org/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperExasolOntotextManticore SoftwareDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20002000201720032004
Current release10.4, October 20236.0, February 20231.6.27, May 2024
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoGPL version 2Open Source infoBSD licenseOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++CJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesFixed schemaschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleannoyes
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.nonoCan index from XML
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLyesstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like query languagenono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Proprietary protocolJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Lua
Python
R
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionswell-defined plugin interfaces; JavaScript server-side extensibilityuser defined functionsnoyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSynchronous replication based on Galera librarynone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integrityyesyes infoConstraint checkingnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.noyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.noyes infousing SASL (Simple Authentication and Security Layer) protocolno
More information provided by the system vendor
EXASOLGraphDB infoformer name: OWLIMManticore SearchMemcachedRDF4J infoformerly known as Sesame
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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