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DBMS > Datomic vs. Google Cloud Datastore vs. RDFox vs. STSdb

System Properties Comparison Datomic vs. Google Cloud Datastore vs. RDFox vs. STSdb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonRDFox  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHigh performance knowledge graph and semantic reasoning engineKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSDocument storeGraph DBMS
RDF store
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score4.13
Rank#71  Overall
#12  Document stores
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Score0.03
Rank#365  Overall
#54  Key-value stores
Websitewww.datomic.comcloud.google.com/­datastorewww.oxfordsemantic.techgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.datomic.comcloud.google.com/­datastore/­docsdocs.oxfordsemantic.tech
DeveloperCognitectGoogleOxford Semantic TechnologiesSTS Soft SC
Initial release2012200820172011
Current release1.0.7180, July 20246.0, Septermber 20224.0.8, September 2015
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C#
Server operating systemsAll OS with a Java VMhostedLinux
macOS
Windows
Windows
Data schemeyesschema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyes infoprimitive types and user defined types (classes)
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLnoSQL-like query language (GQL)nono
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP API
SPARQL 1.1
.NET Client API
Supported programming languagesClojure
Java
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
C#
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsusing Google App Engineno
TriggersBy using transaction functionsCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication using Paxosreplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes 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.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Roles, resources, and access typesno

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More resources
DatomicGoogle Cloud DatastoreRDFoxSTSdb
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