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DBMS > FeatureBase vs. MaxDB vs. Spark SQL

System Properties Comparison FeatureBase vs. MaxDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A robust and reliable RDBMS optimized to run all major SAP solutionsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.featurebase.commaxdb.sap.comspark.apache.org/­sql
Technical documentationdocs.featurebase.commaxdb.sap.com/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMolecula and Pilosa Open Source ContributorsSAP, acquired from Software AG (Adabas-D) in 1997Apache Software Foundation
Initial release201719842014
Current release2022, May 20227.9.10.12, February 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++Scala
Server operating systemsLinux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
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.nonono
Secondary indexesnoyesno
SQL infoSupport of SQLSQL queriesyesSQL-like DML and DDL statements
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
Supported programming languagesJava
Python
.Net
C#
Java
Perl
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
FeatureBaseMaxDB infoformerly named Adabas-DSpark SQL
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