DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Badger vs. Drizzle vs. Postgres-XL

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Badger vs. Drizzle vs. Postgres-XL

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Name	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB  Xexclude from comparison	Badger  Xexclude from comparison	Drizzle  Xexclude from comparison	Postgres-XL  Xexclude from comparison
			Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
Description	An online MPP (Massively Parallel Processing) data warehousing service based on Greenplum	An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database model	Relational DBMS	Key-value store	Relational DBMS	Relational DBMS
Secondary database models				Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.76 Rank #220   Overall #102   Relational DBMS	Score 0.22 Rank #320   Overall #47   Key-value stores		Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	www.alibabacloud.com/­product/­hybriddb-postgresql	github.com/­dgraph-io/­badger		www.postgres-xl.org
Technical documentation	www.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overview	godoc.org/­github.com/­dgraph-io/­badger		www.postgres-xl.org/­documentation
Developer	Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group	DGraph Labs	Drizzle project, originally started by Brian Aker
Initial release	2016	2017	2008	2014 since 2012, originally named StormDB
Current release			7.2.4, September 2012	10 R1, October 2018
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source GNU GPL	Open Source Mozilla public license
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		Go	C++	C
Server operating systems	hosted	BSD Linux OS X Solaris Windows	FreeBSD Linux OS X	Linux macOS
Data scheme	yes	schema-free	yes	yes
Typing predefined data types such as float or date	yes	no	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.	yes	no		yes XML type, but no XML query functionality
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	yes	no	yes with proprietary extensions	yes distributed, parallel query execution
APIs and other access methods	JDBC ODBC		JDBC	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	C Java Perl Python R	Go	C C++ Java PHP	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	yes	no	no	user defined functions
Triggers	yes	no	no hooks for callbacks inside the server can be used.	yes
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	none	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	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	none		Immediate Consistency
Foreign keys Referential integrity	yes	no	yes	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	ACID	ACID MVCC
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	no		no
User concepts Access control	fine grained access rights according to SQL-standard	no	Pluggable authentication mechanisms e.g. LDAP, HTTP	fine grained access rights according to SQL-standard
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More resources
	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB	Badger	Drizzle	Postgres-XL
DB-Engines blog posts			MySQL won the April ranking; did its forks follow? 1 April 2015, Paul Andlinger Has MySQL finally lost its mojo? 1 July 2013, Matthias Gelbmann show all
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 Experts disclosed two critical flaws in Alibaba cloud database services 20 April 2023, Security Affairs provided by Google News

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