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DBMS > Apache Pinot vs. Microsoft SQL Server

System Properties Comparison Apache Pinot vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyMicrosofts flagship relational DBMS
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#252  Overall
#118  Relational DBMS
Score785.01
Rank#3  Overall
#3  Relational DBMS
Websitepinot.apache.orgwww.microsoft.com/­en-us/­sql-server
Technical documentationdocs.pinot.apache.orglearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperApache Software Foundation and contributorsMicrosoft
Initial release20151989
Current release1.0.0, September 2023SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.yes
Secondary indexesyes
SQL infoSupport of SQLSQL-like query languageyes
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGo
Java
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standard

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More resources
Apache PinotMicrosoft SQL Server
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