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DBMS > Adabas vs. Datomic vs. Google Cloud Spanner vs. SQream DB

System Properties Comparison Adabas vs. Datomic vs. Google Cloud Spanner vs. SQream DB

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonSQream DB  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.a GPU-based, columnar RDBMS for big data analytics workloads
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
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.datomic.comcloud.google.com/­spannersqream.com
Technical documentationdocs.datomic.comcloud.google.com/­spanner/­docsdocs.sqream.com
DeveloperSoftware AGCognitectGoogleSQream Technologies
Initial release1971201220172017
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 servicenonoyesno
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 VMhostedLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynoyes infoQuery statements complying to ANSI 2011yes
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
.Net
JDBC
ODBC
Supported programming languagesNaturalClojure
Java
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresin Naturalyes infoTransaction Functionsnouser defined functions in Python
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 peersShardinghorizontal and vertical partitioning
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.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoStrict serializable isolationACID
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)noAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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Adabas infodenotes "adaptable data base"DatomicGoogle Cloud SpannerSQream DB
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