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DBMS > Adabas vs. Atos Standard Common Repository vs. IRONdb vs. SQream DB vs. Teradata Aster

System Properties Comparison Adabas vs. Atos Standard Common Repository vs. IRONdb vs. SQream DB vs. Teradata Aster

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonIRONdb  Xexclude from comparisonSQream DB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.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 platformHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicitya GPU-based, columnar RDBMS for big data analytics workloadsPlatform for big data analytics on multistructured data sources and types
Primary database modelMultivalue DBMSDocument store
Key-value store
Time Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.circonus.com/solutions/time-series-database/sqream.com
Technical documentationdocs.circonus.com/irondb/category/getting-starteddocs.sqream.com
DeveloperSoftware AGAtos Convergence CreatorsCirconus LLC.SQream TechnologiesTeradata
Initial release19712016201720172005
Current release1703V0.10.20, January 20182022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++, CUDA, Haskell, Java, Scala
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxLinuxLinuxLinux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyesFlexible 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 dateyesoptionalyes infotext, numeric, histogramsyes, 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.noyesnoyes infoin Aster File Store
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSQL-like query language (Circonus Analytics Query Language: CAQL)yesyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
LDAPHTTP API.Net
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesNaturalAll languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresin Naturalnoyes, in Luauser defined functions in PythonR packages
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infocell divisionAutomatic, metric affinity per nodehorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryesconfigurable replication factor, datacenter awarenoneyes 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 Consistency or Eventual Consistency depending on configurationImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)LDAP bind authenticationnofine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"Atos Standard Common RepositoryIRONdbSQream DBTeradata Aster
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