DBMS > Microsoft Azure Table Storage vs. Sadas Engine vs. Tkrzw vs. Transwarp ArgoDB

System Properties Comparison Microsoft Azure Table Storage vs. Sadas Engine vs. Tkrzw vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
Name	Microsoft Azure Table Storage  Xexclude from comparison	Sadas Engine  Xexclude from comparison	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison	Transwarp ArgoDB  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	A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet	Distributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database model	Wide column store	Relational DBMS	Key-value store	Relational DBMS
Secondary database models				Search engine
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 0.07 Rank #372   Overall #57   Key-value stores	Score 0.12 Rank #348   Overall #151   Relational DBMS
Website	azure.microsoft.com/­en-us/­services/­storage/­tables	www.sadasengine.com	dbmx.net/­tkrzw	www.transwarp.cn/­en/­product/­argodb
Technical documentation		www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation		docs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
Developer	Microsoft	SADAS s.r.l.	Mikio Hirabayashi	Transwarp
Initial release	2012	2006	2020
Current release		8.0	0.9.3, August 2020
License Commercial or Open Source	commercial	commercial free trial version available	Open Source Apache Version 2.0	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	Linux macOS
Data scheme	schema-free	yes	schema-free	yes
Typing predefined data types such as float or date	yes	yes	no	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
Secondary indexes	no	yes		yes
SQL Support of SQL	no	yes	no	yes
APIs and other access methods	RESTful HTTP API	JDBC ODBC Proprietary protocol
Supported programming languages	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	.Net C C# C++ Groovy Java PHP Python	C++ Java Python Ruby
Server-side scripts Stored procedures	no	no	no
Triggers	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	horizontal partitioning	none
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	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	optimistic locking
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	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 using specific database classes
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	no
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More resources
	Microsoft Azure Table Storage	Sadas Engine	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet	Transwarp ArgoDB
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 Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com Inside Azure File Storage 7 October 2015, Microsoft provided by Google News

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