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DBMS > Datomic vs. Drizzle vs. openGemini vs. PostGIS

System Properties Comparison Datomic vs. Drizzle vs. openGemini vs. PostGIS

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonopenGemini  Xexclude from comparisonPostGIS  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilitySpatial extension of PostgreSQL
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websitewww.datomic.comwww.opengemini.org
github.com/­openGemini
postgis.net
Technical documentationdocs.datomic.comdocs.opengemini.org/­guidepostgis.net/­documentation
DeveloperCognitectDrizzle project, originally started by Brian AkerHuawei and openGemini community
Initial release2012200820222005
Current release1.0.7075, December 20237.2.4, September 20121.1, July 20233.4.2, February 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU GPLOpen Source infoApache Version 2.0Open Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++GoC
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, Stringyes
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIJDBCHTTP REST
Supported programming languagesClojure
Java
C
C++
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonouser defined functions
TriggersBy using transaction functionsno infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
yesyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 developmentyesno
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAdministrators and common users accountsyes infobased on PostgreSQL

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More resources
DatomicDrizzleopenGeminiPostGIS
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