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DBMS > Apache Kylin vs. Apache Pinot vs. Microsoft Azure AI Search

System Properties Comparison Apache Kylin vs. Apache Pinot vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonApache Pinot  Xexclude from comparisonMicrosoft Azure AI Search  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 latencySearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSRelational DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitekylin.apache.orgpinot.apache.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationkylin.apache.org/­docsdocs.pinot.apache.orglearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software Foundation and contributorsMicrosoft
Initial release201520152015
Current release3.1.0, July 20201.0.0, September 2023V1
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

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Implementation languageJavaJava
Server operating systemsLinuxAll OS with a Java JDK11 or higherhosted
Data schemeyesyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCRESTful HTTP API
Supported programming languagesGo
Java
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyes infousing Azure authentication

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More resources
Apache KylinApache PinotMicrosoft Azure AI Search
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