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DBMS > Datomic vs. Dragonfly vs. GeoSpock vs. InterSystems Caché

System Properties Comparison Datomic vs. Dragonfly vs. GeoSpock vs. InterSystems Caché

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDragonfly  Xexclude from comparisonGeoSpock  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 durabilityA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceSpatial and temporal data processing engine for extreme data scaleA multi-model DBMS and application server
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Websitewww.datomic.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
geospock.comwww.intersystems.com/­products/­cache
Technical documentationdocs.datomic.comwww.dragonflydb.io/­docsdocs.intersystems.com
DeveloperCognitectDragonflyDB team and community contributorsGeoSpockInterSystems
Initial release201220231997
Current release1.0.7075, December 20231.0, March 20232.0, September 20192018.1.4, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSL 1.1commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++Java, Javascript
Server operating systemsAll OS with a Java VMLinuxhostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesscheme-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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 indexesyesnotemporal, categoricalyes
SQL infoSupport of SQLnonoANSI SQL for query only (using Presto)yes
APIs and other access methodsRESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocolJDBC.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
Java
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C#
C++
Java
Server-side scripts infoStored proceduresyes infoTransaction FunctionsLuanoyes
TriggersBy using transaction functionspublish/subscribe channels provide some trigger functionalitynoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
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 developmentyesnoyes
User concepts infoAccess controlnoPassword-based authenticationAccess rights for users can be defined per tableAccess rights for users, groups and roles

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DatomicDragonflyGeoSpockInterSystems Caché
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