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DBMS > GeoSpock vs. H2 vs. Percona Server for MongoDB vs. Splice Machine vs. TerarkDB

System Properties Comparison GeoSpock vs. H2 vs. Percona Server for MongoDB vs. Splice Machine vs. TerarkDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonH2  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerarkDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSKey-value store
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegeospock.comwww.h2database.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbsplicemachine.comgithub.com/­bytedance/­terarkdb
Technical documentationwww.h2database.com/­html/­main.htmldocs.percona.com/­percona-distribution-for-mongodbsplicemachine.com/­how-it-worksbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGeoSpockThomas MuellerPerconaSplice MachineByteDance, originally Terark
Initial release2005201520142016
Current release2.0, September 20192.2.220, July 20233.4.10-2.10, November 20173.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGPL Version 2Open Source infoAGPL 3.0, commercial license availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaC++JavaC++
Server operating systemshostedAll OS with a Java VMLinuxLinux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononono
Secondary indexestemporal, categoricalyesyesyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesnoyesno
APIs and other access methodsJDBCJDBC
ODBC
proprietary protocol using JSONJDBC
Native Spark Datasource
ODBC
C++ API
Java API
Supported programming languagesJavaActionscript
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
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined FunctionsJavaScriptyes infoJavano
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovia In-Memory Engineyesyes
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardno

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More resources
GeoSpockH2Percona Server for MongoDBSplice MachineTerarkDB
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