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DBMS > Altibase vs. Axibase vs. GraphDB vs. RDF4J

System Properties Comparison Altibase vs. Axibase vs. GraphDB vs. RDF4J

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAxibase  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSTime Series DBMSGraph DBMS
RDF store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.50
Rank#142  Overall
#70  Relational DBMS
Score0.33
Rank#256  Overall
#19  Time Series DBMS
Score1.42
Rank#145  Overall
#11  Graph DBMS
#6  RDF stores
Score0.55
Rank#219  Overall
#9  RDF stores
Websitealtibase.comaxibase.com/­products/­axibase-time-series-databasegraphdb.ontotext.comrdf4j.org
Technical documentationaltibase.com/­resources/­manualsgithub.com/­axibase/­atsdgraphdb.ontotext.com/­documentationrdf4j.org/­documentation
DeveloperAltibaseAxibase CorporationOntotextSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release1999201320002004
Current release7.1, July 2017155858.8, January 2019
License infoCommercial or Open SourceOpen Source infosince February 2018commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercial infolimited edition freeOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaJava
Server operating systemsAIX
HP-UX
Linux
LinuxAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesschema-free and OWL/RDFS-schema supportyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesyes
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.nonono
Secondary indexesyesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLANSI SQL-92SQL-like query languageSPARQL is used as query languageno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C++
Java
Go
Java
PHP
Python
R
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsyesJava Server Pluginyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 integrityyesnoyes infoConstraint checking
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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 controlfine grained access rights according to SQL-standardyesno
More information provided by the system vendor
AltibaseAxibaseGraphDB infoformer name: OWLIMRDF4J infoformerly known as Sesame
Specific characteristicsAltibase is an enterprise grade open source DBMS . It allows for high performance...
» more
GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesSince its inception, Altibase has been renowned for its in-memory capabilities. Altibase...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosAltibase has been deployed for over 6000 mission-critical use cases that demand hundreds...
» more
Metadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersSince 1999, Altibase has served over 600 enterprise clients including 9 Fortune Global...
» more
BBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsOver 600 global enterprise clients including 8 Fortune Global 500 companies Over...
» more
GraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsNo License Cost Altibase is an open source DBMS which includes its sharding Subscription...
» more
GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more

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More resources
AltibaseAxibaseGraphDB infoformer name: OWLIMRDF4J infoformerly known as Sesame
Conferences and events

Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes
Webinar, 8:00 AM PST / 11:00 AM EST / 5:00 PM CEST, 30 July 2020 (finished)

Hands-on with the JDBC Driver in GraphDB: Bridging relational queries to the graph world
Webinar, 8:00 AM PDT / 11:00 AM EDT / 5:00 PM CEST, 17 September 2020 (finished)

Recent citations in the news

In-Memory Database Market to Garner Brimming Revenues by 2016 to 2028 | Key Players are IBM Corporation, Amazon Web Services, SAP SE, Altibase Corp., Tableau Software
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In-memory OLAP Database Market In-Depth Analysis including key players Altibase, IBM, Microsoft
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Global In-Memory Database Market Size To Witness A Lucrative Growth Over 2020-2026
26 September 2020, The Daily Chronicle

In-Memory Computing (IMC) Market 2020 Key Growth Drivers and Top Players – IBM, Oracle, SAP, Altibase, Giga Spaces, Grid Gain Systems, Hazelcast, Microsoft, Software AG, ScaleOut Software, TIBCO
25 September 2020, Crypto Daily

provided by Google News

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provided by Google News

Ontotext GraphDB 9.4 Enables SQL Access to Knowledge Graphs and Visual Mapping of Tabular Data to RDF
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Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
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Ontotext GraphDB Named Champion in Bloor's Graph Database Market Update
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provided by Google News

Big data database Apache Rya becomes a Top Level Project
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30 April 2020, PR Newswire UK

Ontotext's GraphDB 8.9 Boosts Semantic Similarity Search
10 April 2019, PR Newswire UK

provided by Google News

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