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DBMS > Apache Impala vs. MaxDB vs. Microsoft SQL Server

System Properties Comparison Apache Impala vs. MaxDB vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA robust and reliable RDBMS optimized to run all major SAP solutionsMicrosofts flagship relational DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Websiteimpala.apache.orgmaxdb.sap.comwww.microsoft.com/­en-us/­sql-server
Technical documentationimpala.apache.org/­impala-docs.htmlmaxdb.sap.com/­documentationlearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSAP, acquired from Software AG (Adabas-D) in 1997Microsoft
Initial release201319841989
Current release4.1.0, June 20227.9.10.12, February 2024SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoLimited community edition freecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++C++C++
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
WebDAV
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
Java
Perl
PHP
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes, but depending on the SQL-Server Edition
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes
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 ImpalaMaxDB infoformerly named Adabas-DMicrosoft SQL Server
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29 July 2021, iProgrammer

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28 November 2017, Datanami

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