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DBMS > Datomic vs. GeoSpock vs. Hive vs. Percona Server for MongoDB vs. UniData,UniVerse

System Properties Comparison Datomic vs. GeoSpock vs. Hive vs. Percona Server for MongoDB vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonUniData,UniVerse  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 durabilitySpatial and temporal data processing engine for extreme data scaledata warehouse software for querying and managing large distributed datasets, built on HadoopA drop-in replacement for MongoDB Community Edition with enterprise-grade features.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeMultivalue DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitewww.datomic.comgeospock.comhive.apache.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.datomic.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.percona.com/­percona-distribution-for-mongodbdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperCognitectGeoSpockApache Software Foundation infoinitially developed by FacebookPerconaRocket Software
Initial release2012201220151985
Current release1.0.6735, June 20232.0, September 20193.1.3, April 20223.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache Version 2Open Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava, JavascriptJavaC++C
Server operating systemsAll OS with a Java VMhostedAll OS with a Java VMLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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.nonono
Secondary indexesyestemporal, categoricalyesyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like DML and DDL statementsnoyes
APIs and other access methodsRESTful HTTP APIJDBCJDBC
ODBC
Thrift
proprietary protocol using JSONJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesClojure
Java
C++
Java
PHP
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes infouser defined functions and integration of map-reduceJavaScriptyes
TriggersBy using transaction functionsnononoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersAutomatic shardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factorSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID infoconfigurable
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 developmentnoyes infovia In-Memory Engine
User concepts infoAccess controlnoAccess rights for users can be defined per tableAccess rights for users, groups and rolesAccess rights for users and rolesAccess rights according to SQL-standard and operating system based

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More resources
DatomicGeoSpockHivePercona Server for MongoDBUniData,UniVerse
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