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DBMS > Apache Pinot vs. Microsoft Azure SQL Database vs. NSDb vs. OpenMLDB

System Properties Comparison Apache Pinot vs. Microsoft Azure SQL Database vs. NSDb vs. OpenMLDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNSDb  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitepinot.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasensdb.ioopenmldb.ai
Technical documentationdocs.pinot.apache.orgdocs.microsoft.com/­en-us/­azure/­azure-sqlnsdb.io/­Architectureopenmldb.ai/­docs/­zh/­main
DeveloperApache Software Foundation and contributorsMicrosoft4 Paradigm Inc.
Initial release2015201020172020
Current release1.0.0, September 2023V122024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java, ScalaC++, Java, Scala
Server operating systemsAll OS with a Java JDK11 or higherhostedLinux
macOS
Linux
Data schemeyesyesFixed schema
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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.yesnono
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like query languageyes
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
JDBC
SQLAlchemy
Supported programming languagesGo
Java
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresTransact SQLnono
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes
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-standardfine grained access rights according to SQL-standard

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More resources
Apache PinotMicrosoft Azure SQL Database infoformerly SQL AzureNSDbOpenMLDB
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