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DBMS > MaxDB vs. Spark SQL vs. SQream DB vs. STSdb

System Properties Comparison MaxDB vs. Spark SQL vs. SQream DB vs. STSdb

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Editorial information provided by DB-Engines
NameMaxDB infoformerly named Adabas-D  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQream DB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA robust and reliable RDBMS optimized to run all major SAP solutionsSpark SQL is a component on top of 'Spark Core' for structured data processinga GPU-based, columnar RDBMS for big data analytics workloadsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitemaxdb.sap.comspark.apache.org/­sqlsqream.comgithub.com/­STSSoft/­STSdb4
Technical documentationmaxdb.sap.com/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.sqream.com
DeveloperSAP, acquired from Software AG (Adabas-D) in 1997Apache Software FoundationSQream TechnologiesSTS Soft SC
Initial release1984201420172011
Current release7.9.10.12, February 20243.5.0 ( 2.13), September 20232022.1.6, December 20224.0.8, September 2015
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache 2.0commercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC++, CUDA, Haskell, Java, ScalaC#
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
LinuxWindows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes infoprimitive types and user defined types (classes)
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.nono
Secondary indexesyesnonono
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesno
APIs and other access methodsADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
.Net
JDBC
ODBC
.NET Client API
Supported programming languages.Net
C#
Java
Perl
PHP
Python
Java
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
C#
Java
Server-side scripts infoStored proceduresyesnouser defined functions in Pythonno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corehorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenonenone
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 integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardnono

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More resources
MaxDB infoformerly named Adabas-DSpark SQLSQream DBSTSdb
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