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DBMS > Apache Kylin vs. Apache Pinot vs. Prometheus vs. Quasardb

System Properties Comparison Apache Kylin vs. Apache Pinot vs. Prometheus vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonApache Pinot  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#171  Overall
#77  Relational DBMS
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitekylin.apache.orgpinot.apache.orgprometheus.ioquasar.ai
Technical documentationkylin.apache.org/­docsdocs.pinot.apache.orgprometheus.io/­docsdoc.quasar.ai/­master
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software Foundation and contributorsquasardb
Initial release2015201520152009
Current release3.1.0, July 20201.0.0, September 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGoC++
Server operating systemsLinuxAll OS with a Java JDK11 or higherLinux
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes infointeger and binary
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.nono infoImport of XML data possibleno
Secondary indexesyesnoyes infowith tags
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query languagenoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCRESTful HTTP/JSON APIHTTP API
Supported programming languagesGo
Java
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlnoCryptographically strong user authentication and audit trail

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More resources
Apache KylinApache PinotPrometheusQuasardb
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Overhauling Apache Kylin for the cloud
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