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DBMS > Apache Impala vs. Microsoft SQL Server vs. NSDb vs. OpenMLDB

System Properties Comparison Apache Impala vs. Microsoft SQL Server vs. NSDb vs. OpenMLDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNSDb  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopMicrosofts flagship relational DBMSScalable, 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 storeDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Websiteimpala.apache.orgwww.microsoft.com/­en-us/­sql-servernsdb.ioopenmldb.ai
Technical documentationimpala.apache.org/­impala-docs.htmllearn.microsoft.com/­en-US/­sql/­sql-servernsdb.io/­Architectureopenmldb.ai/­docs/­zh/­main
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoft4 Paradigm Inc.
Initial release2013198920172020
Current release4.1.0, June 2022SQL Server 2022, November 20222024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial inforestricted free version is availableOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java, ScalaC++, Java, Scala
Server operating systemsLinuxLinux
Windows
Linux
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.noyesnono
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
gRPC
HTTP REST
WebSocket
JDBC
SQLAlchemy
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
Scala
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, but depending on the SQL-Server EditionSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache ImpalaMicrosoft SQL ServerNSDbOpenMLDB
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