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DBMS > Adabas vs. Datomic vs. Ignite vs. Microsoft Azure AI Search vs. Teradata Aster

System Properties Comparison Adabas vs. Datomic vs. Ignite vs. Microsoft Azure AI Search vs. Teradata Aster

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDatomic  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure AI Search  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 durabilityApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Search-as-a-service for web and mobile app developmentPlatform for big data analytics on multistructured data sources and types
Primary database modelMultivalue DBMSRelational DBMSKey-value store
Relational DBMS
Search engineRelational DBMS
Secondary database modelsVector 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
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.datomic.comignite.apache.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.datomic.comapacheignite.readme.io/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperSoftware AGCognitectApache Software FoundationMicrosoftTeradata
Initial release19712012201520152005
Current release1.0.7075, December 2023Apache Ignite 2.6V1
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++, Java, .Net
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VMLinux
OS X
Solaris
Windows
hostedLinux
Data schemeyesyesyesyesFlexible 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 dateyesyesyesyesyes
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.nonoyesnoyes infoin Aster File Store
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoANSI-99 for query and DML statements, subset of DDLnoyes
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 APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesNaturalClojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresin Naturalyes infoTransaction Functionsyes (compute grid and cache interceptors can be used instead)noR packages
TriggersnoBy using transaction functionsyes (cache interceptors and events)nono
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 peersShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornone infoBut extensive use of caching in the application peersyes (replicated cache)yes infoImplicit feature of the cloud serviceyes 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 methodsnonoyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentyesnono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)noSecurity Hooks for custom implementationsyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"DatomicIgniteMicrosoft Azure AI SearchTeradata Aster
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