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DBMS > Datomic vs. GridDB vs. InterSystems Caché vs. SAP SQL Anywhere vs. TinkerGraph

System Properties Comparison Datomic vs. GridDB vs. InterSystems Caché vs. SAP SQL Anywhere vs. TinkerGraph

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGridDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTinkerGraph  Xexclude from comparison
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 durabilityScalable in-memory time series database optimized for IoT and Big DataA multi-model DBMS and application serverRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSGraph DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Score4.57
Rank#78  Overall
#43  Relational DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Websitewww.datomic.comgriddb.netwww.intersystems.com/­products/­cachewww.sap.com/­products/­technology-platform/­sql-anywhere.htmltinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.datomic.comdocs.griddb.netdocs.intersystems.comhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCognitectToshiba CorporationInterSystemsSAP infoformerly Sybase
Initial release20122013199719922009
Current release1.0.6735, June 20235.1, August 20222018.1.4, May 202017, July 2015
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++Java
Server operating systemsAll OS with a Java VMLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesdepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyesyes
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.nonoyesyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)yesyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
TinkerPop 3
Supported programming languagesClojure
Java
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Groovy
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyesyes, in C/C++, Java, .Net or Perlno
TriggersBy using transaction functionsyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationSource-replica replicationSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesoptional
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 developmentyesyesyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per databaseAccess rights for users, groups and rolesfine grained access rights according to SQL-standardno
More information provided by the system vendor
DatomicGridDBInterSystems CachéSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTinkerGraph
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
DatomicGridDBInterSystems CachéSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTinkerGraph
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