DBMS > Drizzle vs. Microsoft Azure Table Storage
System Properties Comparison Drizzle vs. Microsoft Azure Table Storage
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines
|Drizzle Xexclude from comparison
|Microsoft Azure Table Storage 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.
|A Wide Column Store for rapid development using massive semi-structured datasets
|Primary database model
|Wide column store
|Drizzle project, originally started by Brian Aker
|7.2.4, September 2012
|License Commercial or Open Source
|Open Source GNU GPL
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
Providers of DBaaS offerings, please contact us to be listed.
|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
|RESTful HTTP API
|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
|Sharding Implicit feature of the cloud service
|Replication methods Methods for redundantly storing data on multiple nodes
|yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
|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
|Access rights based on private key authentication or shared access signatures
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Microsoft Azure Table Storage
|DB-Engines blog posts
MySQL won the April ranking; did its forks follow?
|Recent citations in the news
How to use Azure Table storage in .Net
How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB
Inside Azure File Storage
How to write data to Azure Table Store with an Azure Function
Testing Precompiled Azure Functions Locally with Storage Emulator
provided by Google News
Share this page