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DBMS > Apache Kylin vs. RDFox vs. Transwarp StellarDB

System Properties Comparison Apache Kylin vs. RDFox vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonRDFox  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHigh performance knowledge graph and semantic reasoning engineA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSGraph DBMS
RDF store
Graph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitekylin.apache.orgwww.oxfordsemantic.techwww.transwarp.cn/­en/­product/­stellardb
Technical documentationkylin.apache.org/­docsdocs.oxfordsemantic.tech
DeveloperApache Software Foundation, originally contributed from eBay IncOxford Semantic TechnologiesTranswarp
Initial release20152017
Current release3.1.0, July 20206.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinuxLinux
macOS
Windows
Data schemeyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
OpenCypher
Supported programming languagesC
Java
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRoles, resources, and access typesyes

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More resources
Apache KylinRDFoxTranswarp StellarDB
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