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DBMS > Adabas vs. Datomic vs. Google Cloud Spanner vs. Kinetica vs. SAP SQL Anywhere

System Properties Comparison Adabas vs. Datomic vs. Google Cloud Spanner vs. Kinetica vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonKinetica  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
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 horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Fully vectorized database across both GPUs and CPUsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.datomic.comcloud.google.com/­spannerwww.kinetica.comwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.datomic.comcloud.google.com/­spanner/­docsdocs.kinetica.comhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperSoftware AGCognitectGoogleKineticaSAP infoformerly Sybase
Initial release19712012201720121992
Current release1.0.6735, June 20237.1, August 202117, July 2015
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC, C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VMhostedLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
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.nonononoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynoyes infoQuery statements complying to ANSI 2011SQL-like DML and DDL statementsyes
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 APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesNaturalClojure
Java
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresin Naturalyes infoTransaction Functionsnouser defined functionsyes, in C/C++, Java, .Net or Perl
TriggersnoBy using transaction functionsnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
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 peersShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornone infoBut extensive use of caching in the application peersMulti-source replication with 3 replicas for regional instances.Source-replica replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoStrict serializable isolationnoACID
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 developmentnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)noAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"DatomicGoogle Cloud SpannerKineticaSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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