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DBMS > Adabas vs. Badger vs. FileMaker vs. Spark SQL

System Properties Comparison Adabas vs. Badger vs. FileMaker vs. Spark SQL

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonBadger  Xexclude from comparisonFileMaker  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelMultivalue DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgithub.com/­dgraph-io/­badgerwww.claris.com/­filemakerspark.apache.org/­sql
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.claris.com/­resources/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSoftware AGDGraph LabsClaris infoa subsidiary of AppleApache Software Foundation
Initial release1971201719832014
Current release19.4.1, November 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScala
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
BSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 infoA http query request can return the data in XML formatno
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynoyes infovia pluginsSQL-like DML and DDL statements
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Supported programming languagesNaturalGoPHPJava
Python
R
Scala
Server-side scripts infoStored proceduresin Naturalnoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatornoneSource-replica replication, warm standby infosince Version 14none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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.nonono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)nosimple rights management via user accounts and connection to external directory servicesno

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Adabas infodenotes "adaptable data base"BadgerFileMakerSpark SQL
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