DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Lovefield vs. Postgres-XL vs. SiteWhere

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Lovefield vs. Postgres-XL vs. SiteWhere

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Name	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB  Xexclude from comparison	Lovefield  Xexclude from comparison	Postgres-XL  Xexclude from comparison	SiteWhere  Xexclude from comparison
Description	An online MPP (Massively Parallel Processing) data warehousing service based on Greenplum	Embeddable relational database for web apps written in pure JavaScript	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	M2M integration platform for persisting/querying time series data
Primary database model	Relational DBMS	Relational DBMS	Relational DBMS	Time Series 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 0.33 Rank #286   Overall #131   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 0.06 Rank #383   Overall #43   Time Series DBMS
Website	www.alibabacloud.com/­product/­hybriddb-postgresql	google.github.io/­lovefield	www.postgres-xl.org	github.com/­sitewhere/­sitewhere
Technical documentation	www.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overview	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md	www.postgres-xl.org/­documentation	sitewhere1.sitewhere.io/­index.html
Developer	Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group	Google		SiteWhere
Initial release	2016	2014	2014 since 2012, originally named StormDB	2010
Current release		2.1.12, February 2017	10 R1, October 2018
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source Mozilla public license	Open Source Common Public Attribution License Version 1.0
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		JavaScript	C	Java
Server operating systems	hosted	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari	Linux macOS	Linux OS X Windows
Data scheme	yes	yes	yes	predefined scheme
Typing predefined data types such as float or date	yes	yes	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	no
Secondary indexes	yes	yes	yes	no
SQL Support of SQL	yes	SQL-like query language via JavaScript builder pattern	yes distributed, parallel query execution	no
APIs and other access methods	JDBC ODBC		ADO.NET JDBC native C library ODBC streaming API for large objects	HTTP REST
Supported programming languages	C Java Perl Python R	JavaScript	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	yes	no	user defined functions
Triggers	yes	Using read-only observers	yes
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	none	horizontal partitioning	Sharding based on HBase
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	none		selectable replication factor based on HBase
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		Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes	yes	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	ACID MVCC	no
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes, by using IndexedDB or the cloud service Firebase Realtime Database	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	yes using MemoryDB	no	no
User concepts Access control	fine grained access rights according to SQL-standard	no	fine grained access rights according to SQL-standard	Users with fine-grained authorization concept
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More resources
	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB	Lovefield	Postgres-XL	SiteWhere
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 Two critical vulnerabilities spotted in Alibaba Cloud's PostgreSQL databases 21 April 2023, TEISS Experts disclosed two critical flaws in Alibaba cloud database services 20 April 2023, Security Affairs Alibaba Cloud to spur AI innovation with upcoming Singapore hackathon in March | KrASIA 21 February 2024, KrASIA provided by Google News			SiteWhere: An open platform for connected devices 11 July 2017, Open Source For You Ten Popular IoT Platforms You Should be Aware of 27 March 2023, Open Source For You 11 Best Open source IoT Platforms To Develop Smart Projects 9 March 2023, H2S Media provided by Google News

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