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DBMS > Apache Kylin vs. GraphDB vs. GreptimeDB vs. Transbase

System Properties Comparison Apache Kylin vs. GraphDB vs. GreptimeDB vs. Transbase

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonGreptimeDB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackEnterprise-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 efficiencyA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSGraph DBMS
RDF store
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitekylin.apache.orgwww.ontotext.comgreptime.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationkylin.apache.org/­docsgraphdb.ontotext.com/­documentationdocs.greptime.comwww.transaction.de/­en/­products/­transbase/­features.html
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperApache Software Foundation, originally contributed from eBay IncOntotextGreptime Inc.Transaction Software GmbH
Initial release2015200020221987
Current release3.1.0, July 202010.4, October 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache Version 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaRustC and C++
Server operating systemsLinuxAll OS with a Java VM
Linux
OS X
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesschema-free, schema definition possibleyes
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.nononono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
gRPC
HTTP API
JDBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Erlang
Go
Java
JavaScript
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilityPythonyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
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 integrityyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlDefault 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 accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache KylinGraphDB infoformer name: OWLIMGreptimeDBTransbase
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
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...
» more
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
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
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
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
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