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DBMS > Percona Server for MongoDB vs. PlanetScale vs. RDFox vs. TerarkDB vs. TimesTen

System Properties Comparison Percona Server for MongoDB vs. PlanetScale vs. RDFox vs. TerarkDB vs. TimesTen

Editorial information provided by DB-Engines
NamePercona Server for MongoDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonRDFox  Xexclude from comparisonTerarkDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Scalable, distributed, serverless MySQL database platform built on top of VitessHigh performance knowledge graph and semantic reasoning engineA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeRelational DBMSGraph DBMS
RDF store
Key-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.52
Rank#254  Overall
#39  Document stores
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.percona.com/­mongodb/­software/­percona-server-for-mongodbplanetscale.comwww.oxfordsemantic.techgithub.com/­bytedance/­terarkdbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.percona.com/­percona-distribution-for-mongodbplanetscale.com/­docsdocs.oxfordsemantic.techbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.oracle.com/­database/­timesten-18.1
DeveloperPerconaPlanetScaleOxford Semantic TechnologiesByteDance, originally TerarkOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20152020201720161998
Current release3.4.10-2.10, November 20176.0, Septermber 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoGPL Version 2commercialcommercialcommercial inforestricted open source version availablecommercial
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 languageC++GoC++C++
Server operating systemsLinuxDocker
Linux
macOS
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyes infoRDF schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesnoyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnonoyes
APIs and other access methodsproprietary protocol using JSONADO.NET
JDBC
MySQL protocol
ODBC
RESTful HTTP API
SPARQL 1.1
C++ API
Java API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesActionscript
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
Java
C++
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresJavaScriptyes infoproprietary syntaxnoPL/SQL
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
replication via a shared file systemnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infonot for MyISAM storage enginenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at shard levelACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovia In-Memory Engineyesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or rolesRoles, resources, and access typesnofine grained access rights according to SQL-standard

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More resources
Percona Server for MongoDBPlanetScaleRDFoxTerarkDBTimesTen
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