DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Atos Standard Common Repository vs. Microsoft Azure Table Storage vs. OrigoDB

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Atos Standard Common Repository vs. Microsoft Azure Table Storage vs. OrigoDB

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Editorial information provided by DB-Engines
Name	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison	OrigoDB  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	An online MPP (Massively Parallel Processing) data warehousing service based on Greenplum	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	A Wide Column Store for rapid development using massive semi-structured datasets	A fully ACID in-memory object graph database
Primary database model	Relational DBMS	Document store Key-value store	Wide column store	Document store Object oriented DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.76 Rank #220   Overall #102   Relational DBMS		Score 4.04 Rank #77   Overall #6   Wide column stores	Score 0.06 Rank #380   Overall #50   Document stores #18   Object oriented DBMS
Website	www.alibabacloud.com/­product/­hybriddb-postgresql	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­en-us/­services/­storage/­tables	origodb.com
Technical documentation	www.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overview			origodb.com/­docs
Developer	Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group	Atos Convergence Creators	Microsoft	Robert Friberg et al
Initial release	2016	2016	2012	2009 under the name LiveDB
Current release		1703
License Commercial or Open Source	commercial	commercial	commercial	Open Source
Cloud-based only Only available as a cloud service	yes	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		Java		C#
Server operating systems	hosted	Linux	hosted	Linux Windows
Data scheme	yes	Schema and schema-less with LDAP views	schema-free	yes
Typing predefined data types such as float or date	yes	optional	yes	User defined using .NET types and collections
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.	yes	yes	no	no can be achieved using .NET
Secondary indexes	yes	yes	no	yes
SQL Support of SQL	yes	no	no	no
APIs and other access methods	JDBC ODBC	LDAP	RESTful HTTP API	.NET Client API HTTP API LINQ
Supported programming languages	C Java Perl Python R	All languages with LDAP bindings	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby	.Net
Server-side scripts Stored procedures	yes	no	no	yes
Triggers	yes	yes	no	yes Domain Events
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	Sharding cell division	Sharding Implicit feature of the cloud service	horizontal partitioning client side managed; servers are not synchronized
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	yes	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.	Source-replica replication
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 or Eventual Consistency depending on configuration	Immediate Consistency
Foreign keys Referential integrity	yes	no	no	depending on model
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	optimistic locking	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes Write ahead log
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes	no	yes
User concepts Access control	fine grained access rights according to SQL-standard	LDAP bind authentication	Access rights based on private key authentication or shared access signatures	Role based authorization
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More resources
	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB	Atos Standard Common Repository	Microsoft Azure Table Storage	OrigoDB
Recent citations in the news	Alibaba Cloud upgrades AnalyticDB with vector database engine 25 July 2023, CloudTech News Two Critical Flaws Found in Alibaba Cloud's PostgreSQL Databases 20 April 2023, The Hacker News Accidental ‘write’ Permissions In Alibaba PostgreSQL Let Attackers Access Sensitive Data 22 April 2023, GBHackers Two critical vulnerabilities spotted in Alibaba Cloud's PostgreSQL databases 21 April 2023, TEISS Alibaba Cloud to spur AI innovation with upcoming Singapore hackathon in March | KrASIA 21 February 2024, KrASIA provided by Google News	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.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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