DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. FatDB vs. IBM Db2 Event Store vs. ToroDB

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. FatDB vs. IBM Db2 Event Store vs. ToroDB

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Editorial information provided by DB-Engines
Name	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB  Xexclude from comparison	FatDB  Xexclude from comparison	IBM Db2 Event Store  Xexclude from comparison	ToroDB  Xexclude from comparison
		FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.		ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	An online MPP (Massively Parallel Processing) data warehousing service based on Greenplum	A .NET NoSQL DBMS that can integrate with and extend SQL Server.	Distributed Event Store optimized for Internet of Things use cases	A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database model	Relational DBMS	Document store Key-value store	Event Store Time Series DBMS	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.76 Rank #220   Overall #102   Relational DBMS		Score 0.27 Rank #309   Overall #2   Event Stores #28   Time Series DBMS
Website	www.alibabacloud.com/­product/­hybriddb-postgresql		www.ibm.com/­products/­db2-event-store	github.com/­torodb/­server
Technical documentation	www.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overview		www.ibm.com/­docs/­en/­db2-event-store
Developer	Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group	FatCloud	IBM	8Kdata
Initial release	2016	2012	2017	2016
Current release			2.0
License Commercial or Open Source	commercial	commercial	commercial free developer edition available	Open Source AGPL-V3
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 and C++	Java
Server operating systems	hosted	Windows	Linux Linux, macOS, Windows for the developer addition	All OS with a Java 7 VM
Data scheme	yes	schema-free	yes	schema-free
Typing predefined data types such as float or date	yes	yes	yes	yes string, integer, double, boolean, date, object_id
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		no	no
Secondary indexes	yes	yes	no
SQL Support of SQL	yes	no Via inetgration in SQL Server	yes through the embedded Spark runtime
APIs and other access methods	JDBC ODBC	.NET Client API LINQ RESTful HTTP API RPC Windows WCF Bindings	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API
Supported programming languages	C Java Perl Python R	C#	C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala Visual Basic
Server-side scripts Stored procedures	yes	yes via applications	yes
Triggers	yes	yes via applications	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	Sharding	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	selectable replication factor	Active-active shard replication	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency Immediate Consistency	Eventual Consistency	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	yes	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	no	no
Concurrency Support for concurrent manipulation of data	yes	yes	No - written data is immutable	yes
Durability Support for making data persistent	yes	yes	Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no		yes
User concepts Access control	fine grained access rights according to SQL-standard	no Can implement custom security layer via applications	fine grained access rights according to SQL-standard	Access rights for users and roles
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More resources
	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB	FatDB	IBM Db2 Event Store	ToroDB
Recent citations in the 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 How Data Analytics Capabilities of Alibaba Group Evolve Its Ecosystem to the Cloud 20 February 2021, DataDrivenInvestor provided by Google News		Advancements in streaming data storage, real-time analysis and machine learning 25 July 2019, ibm.com How IBM Is Turning Db2 into an 'AI Database' 3 June 2019, Datanami Best cloud databases of 2022 4 October 2022, ITPro Why a robust data management strategy is essential today | IBM HDM 19 September 2019, Express Computer provided by Google News

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