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DBMS > Adabas vs. Datomic vs. SQream DB vs. Teradata Aster

System Properties Comparison Adabas vs. Datomic vs. SQream DB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDatomic  Xexclude from comparisonSQream DB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitya GPU-based, columnar RDBMS for big data analytics workloadsPlatform for big data analytics on multistructured data sources and types
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.datomic.comsqream.com
Technical documentationdocs.datomic.comdocs.sqream.com
DeveloperSoftware AGCognitectSQream TechnologiesTeradata
Initial release1971201220172005
Current release1.0.7075, December 20232022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++, CUDA, Haskell, Java, Scala
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VMLinuxLinux
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes
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 infoin Aster File Store
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynoyesyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
RESTful HTTP API.Net
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesNaturalClojure
Java
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresin Naturalyes infoTransaction Functionsuser defined functions in PythonR packages
TriggersnoBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanone infoBut extensive use of caching in the application peershorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornone infoBut extensive use of caching in the application peersnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)nofine grained access rights according to SQL-standard

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Adabas infodenotes "adaptable data base"DatomicSQream DBTeradata Aster
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