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DBMS > mSQL vs. Percona Server for MongoDB vs. Postgres-XL vs. SwayDB vs. YottaDB

System Properties Comparison mSQL vs. Percona Server for MongoDB vs. Postgres-XL vs. SwayDB vs. YottaDB

Editorial information provided by DB-Engines
NamemSQL infoMini SQL  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSwayDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionmSQL (Mini SQL) is a simple and lightweight RDBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA fast and solid embedded Key-value store
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Score0.20
Rank#317  Overall
#47  Key-value stores
Websitehughestech.com.au/­products/­msqlwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.postgres-xl.orgswaydb.simer.auyottadb.com
Technical documentationdocs.percona.com/­percona-distribution-for-mongodbwww.postgres-xl.org/­documentationyottadb.com/­resources/­documentation
DeveloperHughes TechnologiesPerconaSimer PlahaYottaDB, LLC
Initial release199420152014 infosince 2012, originally named StormDB20182001
Current release4.4, October 20213.4.10-2.10, November 201710 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree licenses can be providedOpen Source infoGPL Version 2Open Source infoMozilla public licenseOpen Source infoGNU Affero GPL V3.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++CScalaC
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
LinuxLinux
macOS
Docker
Linux
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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 infoXML type, but no XML query functionalitynono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoyes infodistributed, parallel query executionnoby using the Octo plugin
APIs and other access methodsJDBC
ODBC
proprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
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
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Kotlin
Scala
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoJavaScriptuser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoMVCCAtomic execution of operationsoptimistic locking
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
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.noyes infovia In-Memory Enginenoyesyes
User concepts infoAccess controlnoAccess rights for users and rolesfine grained access rights according to SQL-standardnoUsers and groups based on OS-security mechanisms

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More resources
mSQL infoMini SQLPercona Server for MongoDBPostgres-XLSwayDBYottaDB
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