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DBMS > Adabas vs. Badger vs. PostgreSQL vs. Splice Machine

System Properties Comparison Adabas vs. Badger vs. PostgreSQL vs. Splice Machine

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonBadger  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSplice Machine  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.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelMultivalue DBMSKey-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgithub.com/­dgraph-io/­badgerwww.postgresql.orgsplicemachine.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.postgresql.org/­docssplicemachine.com/­how-it-works
DeveloperSoftware AGDGraph LabsPostgreSQL Global Development Group infowww.postgresql.org/­developerSplice Machine
Initial release197120171989 info1989: Postgres, 1996: PostgreSQL2014
Current release16.3, May 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSDOpen Source infoAGPL 3.0, 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 languageGoCJava
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
BSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Solaris
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 infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynoyes infostandard with numerous extensionsyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
Supported programming languagesNaturalGo.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresin Naturalnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoJava
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanonepartitioning by range, list and (since PostgreSQL 11) by hashShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatornoneSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.nononoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)nofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"BadgerPostgreSQLSplice Machine
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