DBMS > Drizzle vs. Microsoft Azure SQL Database vs. Percona Server for MySQL
System Properties Comparison Drizzle vs. Microsoft Azure SQL Database vs. Percona Server for MySQL
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|Editorial information provided by DB-Engines
|Drizzle Xexclude from comparison
|Microsoft Azure SQL Database formerly SQL Azure Xexclude from comparison
|Percona Server for MySQL 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.
|MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.
|Database as a Service offering with high compatibility to Microsoft SQL Server
|Enhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.
|Primary database model
|Secondary database models
|Drizzle project, originally started by Brian Aker
|7.2.4, September 2012
|License Commercial or Open Source
|Open Source GNU GPL
|Open Source GPL version 2
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|C and C++
|Server operating systems
|Typing predefined data types such as float or date
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|SQL Support of SQL
|yes with proprietary extensions
|APIs and other access methods
|Supported programming languages
|Server-side scripts Stored procedures
|no hooks for callbacks inside the server can be used.
|Partitioning methods Methods for storing different data on different nodes
|Replication methods Methods for redundantly storing data on multiple nodes
|yes, with always 3 replicas available
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|Pluggable authentication mechanisms e.g. LDAP, HTTP
|fine grained access rights according to SQL-standard
|Users with fine-grained authorization concept no user groups or roles
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|Microsoft Azure SQL Database formerly SQL Azure
|Percona Server for MySQL
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