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DBMS > Apache Kylin vs. StarRocks vs. TempoIQ

System Properties Comparison Apache Kylin vs. StarRocks vs. TempoIQ

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonStarRocks  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.26
Rank#175  Overall
#81  Relational DBMS
Score1.15
Rank#187  Overall
#87  Relational DBMS
Websitekylin.apache.orgwww.starrocks.iotempoiq.com (offline)
Technical documentationkylin.apache.org/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software Foundation, originally contributed from eBay IncThe Linux Foundation infosince Feb 2023TempoIQ
Initial release201520202012
Current release3.1.0, July 20202.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CelerData Cloud – Realtime-analytics delivered at the push of a button
Implementation languageJavaC++, Java
Server operating systemsLinuxLinux
Data schemeyesyesschema-free
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 indexesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
MySQL protocol
HTTP API
Supported programming languagesJavaC#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsno
Triggersnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range and hash)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.nonono
User concepts infoAccess controlRole based access control and fine grained access rightssimple authentication-based access control
More information provided by the system vendor
Apache KylinStarRocksTempoIQ infoformerly TempoDB
Specific characteristicsStarRocks is an open-source, high-performance columnar analytical database that enables...
» more
Competitive advantagesOne of the challenges of data lakehouse is to provide fast and interactive query...
» more
Typical application scenariosReal-time analytics Fraud detection System monitoring analytics User facing analytics...
» more
Key customersTrip.com Yoozoo Zepp health Airbnb Lenovo Tencent
» more
Market metrics4.4k stars, 223 contributors on GitHub 971 members on Slack *a s of April 2023:
» more
Licensing and pricing modelsApache-2.0 license Pay-as-you-go BYOC cloud service by CelerData
» more

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More resources
Apache KylinStarRocksTempoIQ infoformerly TempoDB
Recent citations in the news

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Overhauling Apache Kylin for the cloud
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