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DBMS > Apache Kylin vs. MonetDB vs. RisingWave vs. TerarkDB

System Properties Comparison Apache Kylin vs. MonetDB vs. RisingWave vs. TerarkDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonMonetDB  Xexclude from comparisonRisingWave  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA relational database management system that stores data in columnsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitekylin.apache.orgwww.monetdb.orgwww.risingwave.com/­databasegithub.com/­bytedance/­terarkdb
Technical documentationkylin.apache.org/­docswww.monetdb.org/­Documentationdocs.risingwave.com/­docs/­current/­introbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation, originally contributed from eBay IncMonetDB BVRisingWave LabsByteDance, originally Terark
Initial release2015200420222016
Current release3.1.0, July 2020Dec2023 (11.49), December 20231.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMozilla Public License 2.0Open Source infoApache Version 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCRustC++
Server operating systemsLinuxFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONno
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 indexesyesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yes infoSQL 2003 with some extensionsyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
PostgreSQL wire protocol
C++ API
Java API
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresyes, in SQL, C, RUDFs in Python or Javano
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers and Rolesno

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More resources
Apache KylinMonetDBRisingWaveTerarkDB
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