DBMS > Microsoft Azure Table Storage vs. Sadas Engine vs. TimesTen vs. VelocityDB

System Properties Comparison Microsoft Azure Table Storage vs. Sadas Engine vs. TimesTen vs. VelocityDB

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Editorial information provided by DB-Engines
Name	Microsoft Azure Table Storage  Xexclude from comparison	Sadas Engine  Xexclude from comparison	TimesTen  Xexclude from comparison	VelocityDB  Xexclude from comparison
Description	A Wide Column Store for rapid development using massive semi-structured datasets	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments	In-Memory RDBMS compatible to Oracle	A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database model	Wide column store	Relational DBMS	Relational DBMS	Graph DBMS Object oriented DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.07 Rank #373   Overall #157   Relational DBMS	Score 1.36 Rank #161   Overall #75   Relational DBMS	Score 0.11 Rank #354   Overall #37   Graph DBMS #15   Object oriented DBMS
Website	azure.microsoft.com/­en-us/­services/­storage/­tables	www.sadasengine.com	www.oracle.com/­database/­technologies/­related/­timesten.html	velocitydb.com
Technical documentation		www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation	docs.oracle.com/­database/­timesten-18.1	velocitydb.com/­UserGuide
Developer	Microsoft	SADAS s.r.l.	Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005	VelocityDB Inc
Initial release	2012	2006	1998	2011
Current release		8.0	11 Release 2 (11.2.2.8.0)	7.x
License Commercial or Open Source	commercial	commercial free trial version available	commercial	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		C++		C#
Server operating systems	hosted	AIX Linux Windows	AIX HP-UX Linux OS X Solaris SPARC/x86 Windows	Any that supports .NET
Data scheme	schema-free	yes	yes	yes
Typing predefined data types such as float or date	yes	yes	yes	yes
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.	no	no	no	no
Secondary indexes	no	yes	yes	yes
SQL Support of SQL	no	yes	yes	no
APIs and other access methods	RESTful HTTP API	JDBC ODBC Proprietary protocol	JDBC ODBC ODP.NET Oracle Call Interface (OCI)	.Net
Supported programming languages	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	.Net C C# C++ Groovy Java PHP Python	C C++ Java PL/SQL	.Net
Server-side scripts Stored procedures	no	no	PL/SQL	no
Triggers	no	no	no	Callbacks are triggered when data changes
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	horizontal partitioning	none	Sharding
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.	none	Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency
Foreign keys Referential integrity	no	yes	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	optimistic locking		ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes by means of logfiles and checkpoints	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes managed by 'Learn by Usage'	yes	yes
User concepts Access control	Access rights based on private key authentication or shared access signatures	Access rights for users, groups and roles according to SQL-standard	fine grained access rights according to SQL-standard	Based on Windows Authentication
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More resources
	Microsoft Azure Table Storage	Sadas Engine	TimesTen	VelocityDB
Recent citations in the news	Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to use Azure Table storage in .Net 14 January 2019, InfoWorld How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com Inside Azure File Storage 7 October 2015, azure.microsoft.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News

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