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DBMS > Adabas vs. GraphDB vs. GreptimeDB vs. Kdb vs. MonetDB

System Properties Comparison Adabas vs. GraphDB vs. GreptimeDB vs. Kdb vs. MonetDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonGreptimeDB  Xexclude from comparisonKdb  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformEnterprise-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.An open source Time Series DBMS built for increased scalability, high performance and efficiencyHigh performance Time Series DBMSA relational database management system that stores data in columns
Primary database modelMultivalue DBMSGraph DBMS
RDF store
Time Series DBMSTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.ontotext.comgreptime.comkx.comwww.monetdb.org
Technical documentationgraphdb.ontotext.com/­documentationdocs.greptime.comcode.kx.comwww.monetdb.org/­Documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperSoftware AGOntotextGreptime Inc.Kx Systems, a division of First Derivatives plcMonetDB BV
Initial release1971200020222000 infokdb was released 2000, kdb+ in 20032004
Current release10.4, October 20233.6, May 2018Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache Version 2.0commercial infofree 32-bit versionOpen Source infoMozilla Public License 2.0
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 languageJavaRustqC
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VM
Linux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyes
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaystored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesSQL-like query language (q)yes infoSQL 2003 with some extensions
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
gRPC
HTTP API
JDBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesNatural.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Erlang
Go
Java
JavaScript
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresin Naturalwell-defined plugin interfaces; JavaScript server-side extensibilityPythonuser defined functionsyes, in SQL, C, R
Triggersnonoyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanoneShardinghorizontal partitioningSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replicationSource-replica replicationnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Default 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.Simple rights management via user accountsrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Adabas infodenotes "adaptable data base"GraphDB infoformer name: OWLIMGreptimeDBKdbMonetDB
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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provides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
For IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
tick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Greptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
GreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
upon request
» more
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