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DBMS > Apache Kylin vs. JaguarDB vs. OpenMLDB

System Properties Comparison Apache Kylin vs. JaguarDB vs. OpenMLDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonJaguarDB  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackPerformant, highly scalable DBMS for AI and IoT applicationsAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSKey-value store
Vector DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#14  Vector DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitekylin.apache.orgwww.jaguardb.comopenmldb.ai
Technical documentationkylin.apache.org/­docswww.jaguardb.com/­support.htmlopenmldb.ai/­docs/­zh/­main
DeveloperApache Software Foundation, originally contributed from eBay IncDataJaguar, Inc.4 Paradigm Inc.
Initial release201520152020
Current release3.1.0, July 20203.3 July 20232024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL V3.0Open Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ infothe server part. Clients available in other languagesC++, Java, Scala
Server operating systemsLinuxLinuxLinux
Data schemeyesyesFixed schema
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
SQLAlchemy
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standard

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More resources
Apache KylinJaguarDBOpenMLDB
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