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DBMS > Datomic vs. GeoSpock vs. Google Cloud Datastore vs. IBM Db2 vs. InterSystems Caché

System Properties Comparison Datomic vs. GeoSpock vs. Google Cloud Datastore vs. IBM Db2 vs. InterSystems Caché

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitySpatial and temporal data processing engine for extreme data scaleAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCommon in IBM host environments, 2 different versions for host and Windows/LinuxA multi-model DBMS and application server
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsTime Series DBMSDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score125.90
Rank#9  Overall
#6  Relational DBMS
Websitewww.datomic.comgeospock.comcloud.google.com/­datastorewww.ibm.com/­products/­db2www.intersystems.com/­products/­cache
Technical documentationdocs.datomic.comcloud.google.com/­datastore/­docswww.ibm.com/­docs/­en/­db2docs.intersystems.com
DeveloperCognitectGeoSpockGoogleIBMInterSystems
Initial release201220081983 infohost version1997
Current release1.0.7075, December 20232.0, September 201912.1, October 20162018.1.4, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercial infofree version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava, JavascriptC and C++
Server operating systemsAll OS with a Java VMhostedhostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyes, details hereyesyes
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.nononoyes
Secondary indexesyestemporal, categoricalyesyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like query language (GQL)yesyes
APIs and other access methodsRESTful HTTP APIJDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
Java
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C#
C++
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsnousing Google App Engineyesyes
TriggersBy using transaction functionsnoCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersAutomatic shardingShardingSharding infoonly with Windows/Unix/Linux Versionnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication using Paxosyes infowith separate tools (MQ, InfoSphere)Source-replica replication
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 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
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
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 developmentnonoyes
User concepts infoAccess controlnoAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users, groups and roles

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More resources
DatomicGeoSpockGoogle Cloud DatastoreIBM Db2 infoformerly named DB2 or IBM Database 2InterSystems Caché
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