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DBMS > Datomic vs. Geode vs. GeoSpock vs. GridGain vs. STSdb

System Properties Comparison Datomic vs. Geode vs. GeoSpock vs. GridGain vs. STSdb

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGeode  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridGain  Xexclude from comparisonSTSdb  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesSpatial and temporal data processing engine for extreme data scaleGridGain is an in-memory computing platform, built on Apache IgniteKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value store
Relational DBMS
Key-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.datomic.comgeode.apache.orggeospock.comwww.gridgain.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.datomic.comgeode.apache.org/­docswww.gridgain.com/­docs/­index.html
DeveloperCognitectOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GeoSpockGridGain Systems, Inc.STS Soft SC
Initial release2012200220072011
Current release1.0.6735, June 20231.1, February 20172.0, September 2019GridGain 8.5.14.0.8, September 2015
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialcommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJavaJava, JavascriptJava, C++, .NetC#
Server operating systemsAll OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinux
OS X
Solaris
Windows
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes 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.nononoyes
Secondary indexesyesnotemporal, categoricalyesno
SQL infoSupport of SQLnoSQL-like query language (OQL)ANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsRESTful HTTP APIJava Client API
Memcached protocol
RESTful HTTP API
JDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
Supported programming languagesClojure
Java
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsnoyes (compute grid and cache interceptors can be used instead)no
TriggersBy using transaction functionsyes infoCache Event Listenersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodenoACIDno
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 developmentyesnoyes
User concepts infoAccess controlnoAccess rights per client and object definableAccess rights for users can be defined per tableSecurity Hooks for custom implementationsno

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More resources
DatomicGeodeGeoSpockGridGainSTSdb
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