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DBMS > Drizzle vs. Ehcache vs. Microsoft Azure SQL Database vs. Percona Server for MongoDB

System Properties Comparison Drizzle vs. Ehcache vs. Microsoft Azure SQL Database vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEhcache  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPercona Server for MongoDB  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A widely adopted Java cache with tiered storage optionsDatabase as a Service offering with high compatibility to Microsoft SQL ServerA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSKey-value storeRelational DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitewww.ehcache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationwww.ehcache.org/­documentationdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.percona.com/­percona-distribution-for-mongodb
DeveloperDrizzle project, originally started by Brian AkerTerracotta Inc, owned by Software AGMicrosoftPercona
Initial release2008200920102015
Current release7.2.4, September 20123.10.0, March 2022V123.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++C++
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMhostedLinux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoyesno
APIs and other access methodsJDBCJCacheADO.NET
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesC
C++
Java
PHP
Java.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
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
Server-side scripts infoStored proceduresnonoTransact SQLJavaScript
Triggersno infohooks for callbacks inside the server can be used.yes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoby using Terracotta Serveryes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engine
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnofine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
DrizzleEhcacheMicrosoft Azure SQL Database infoformerly SQL AzurePercona Server for MongoDB
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