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DBMS > Apache Pinot vs. LeanXcale vs. Microsoft Azure SQL Database vs. Valentina Server

System Properties Comparison Apache Pinot vs. LeanXcale vs. Microsoft Azure SQL Database vs. Valentina Server

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesDatabase as a Service offering with high compatibility to Microsoft SQL ServerObject-relational database and reports server
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score0.18
Rank#313  Overall
#140  Relational DBMS
Websitepinot.apache.orgwww.leanxcale.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.valentina-db.net
Technical documentationdocs.pinot.apache.orgdocs.microsoft.com/­en-us/­azure/­azure-sqlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation and contributorsLeanXcaleMicrosoftParadigma Software
Initial release2015201520101999
Current release1.0.0, September 2023V125.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java JDK11 or higherhostedLinux
OS X
Windows
Data schemeyesyesyesyes
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.yes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageyes infothrough Apache Derbyyesyes
APIs and other access methodsJDBCJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
ODBC
ODBC
Supported programming languagesGo
Java
Python
C
Java
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresTransact SQLyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache PinotLeanXcaleMicrosoft Azure SQL Database infoformerly SQL AzureValentina Server
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