DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Atos Standard Common Repository vs. EXASOL vs. InfinityDB

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Atos Standard Common Repository vs. EXASOL vs. InfinityDB

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Name	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	EXASOL  Xexclude from comparison	InfinityDB  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	High-performance, in-memory, MPP database specifically designed for in-memory analytics.	A Java embedded Key-Value Store which extends the Java Map interface
Primary database model	Relational DBMS	Document store Key-value store	Relational DBMS	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.76 Rank #220   Overall #102   Relational DBMS		Score 1.76 Rank #139   Overall #62   Relational DBMS	Score 0.08 Rank #365   Overall #55   Key-value stores
Website	www.alibabacloud.com/­product/­hybriddb-postgresql	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.exasol.com	boilerbay.com
Technical documentation	www.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overview		www.exasol.com/­resources	boilerbay.com/­infinitydb/­manual
Developer	Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group	Atos Convergence Creators	Exasol	Boiler Bay Inc.
Initial release	2016	2016	2000	2002
Current release		1703		4.0
License Commercial or Open Source	commercial	commercial	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		Java		Java
Server operating systems	hosted	Linux		All OS with a Java VM
Data scheme	yes	Schema and schema-less with LDAP views	yes	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing predefined data types such as float or date	yes	optional	yes	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays
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
Secondary indexes	yes	yes	yes	no manual creation possible, using inversions based on multi-value capability
SQL Support of SQL	yes	no	yes	no
APIs and other access methods	JDBC ODBC	LDAP	.Net JDBC ODBC WebSocket	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languages	C Java Perl Python R	All languages with LDAP bindings	Java Lua Python R	Java
Server-side scripts Stored procedures	yes	no	user defined functions	no
Triggers	yes	yes	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	Sharding cell division	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	yes		none
MapReduce Offers an API for user-defined Map/Reduce methods	no		yes Hadoop integration	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency	Immediate Consistency READ-COMMITTED or SERIALIZED
Foreign keys Referential integrity	yes	no	yes	no manual creation possible, using inversions based on multi-value capability
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	ACID	ACID Optimistic locking for transactions; no isolation for bulk loads
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	yes	no
User concepts Access control	fine grained access rights according to SQL-standard	LDAP bind authentication	Access rights for users, groups and roles according to SQL-standard	no
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More resources
	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB	Atos Standard Common Repository	EXASOL	InfinityDB
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 ignites AI innovation in Singapore with recent hackathon | KrASIA 27 March 2024, KrASIA provided by Google News		It's Back to the Database Future for Exasol CEO Tewes 26 October 2023, Datanami Exasol Finds AI Underinvestment Leads to Business Failure, But Data Challenges Stall Rapid Adoption 20 March 2024, businesswire.com Exasol gets jolt of AI with Espresso suite of capabilities 26 February 2024, TechTarget Mathias Golombek, Chief Technology Officer of Exasol – Interview Series 21 May 2024, Unite.AI Exasol Unveils New Suite of AI Tools to Turbocharge Enterprise Data Analytics 22 February 2024, AiThority provided by Google News

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