DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Amazon Neptune vs. DataFS vs. Infobright

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Amazon Neptune vs. DataFS vs. Infobright

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Name	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB  Xexclude from comparison	Amazon Neptune  Xexclude from comparison	DataFS  Xexclude from comparison	Infobright  Xexclude from comparison
Description	An online MPP (Massively Parallel Processing) data warehousing service based on Greenplum	Fast, reliable graph database built for the cloud	All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend
Primary database model	Relational DBMS	Graph DBMS RDF store	Object oriented DBMS	Relational DBMS
Secondary database models			Graph DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.76 Rank #220   Overall #102   Relational DBMS	Score 2.29 Rank #113   Overall #9   Graph DBMS #5   RDF stores	Score 0.09 Rank #360   Overall #17   Object oriented DBMS	Score 1.02 Rank #192   Overall #90   Relational DBMS
Website	www.alibabacloud.com/­product/­hybriddb-postgresql	aws.amazon.com/­neptune	newdatabase.com	ignitetech.com/­softwarelibrary/­infobrightdb
Technical documentation	www.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overview	aws.amazon.com/­neptune/­developer-resources	dev.mobiland.com/­Overview.xsp
Developer	Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group	Amazon	Mobiland AG	Ignite Technologies Inc.; formerly InfoBright Inc.
Initial release	2016	2017	2018	2005
Current release			1.1.263, October 2022
License Commercial or Open Source	commercial	commercial	commercial	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016
Cloud-based only Only available as a cloud service	yes	yes	no	no
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Implementation language				C
Server operating systems	hosted	hosted	Windows	Linux Windows
Data scheme	yes	schema-free	Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)	yes
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	no	no
Secondary indexes	yes	no	no	no Knowledge Grid Technology used instead
SQL Support of SQL	yes	no	no	yes
APIs and other access methods	JDBC ODBC	OpenCypher RDF 1.1 / SPARQL 1.1 TinkerPop Gremlin	.NET Client API Proprietary client DLL WinRT client	ADO.NET JDBC ODBC
Supported programming languages	C Java Perl Python R	C# Go Java JavaScript PHP Python Ruby Scala	.Net C C# C++ VB.Net	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl
Server-side scripts Stored procedures	yes	no		no
Triggers	yes	no	no, except callback-events from server when changes happened	no
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	none	Proprietary Sharding system	none
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	Multi-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.		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	Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	yes	yes Relationships in graphs	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes	yes with encyption-at-rest	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no		no	yes
User concepts Access control	fine grained access rights according to SQL-standard	Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)	Windows-Profile	fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities
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More resources
	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB	Amazon Neptune	DataFS	Infobright
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	Exploring new features of Apache TinkerPop 3.7.x in Amazon Neptune | Amazon Web Services 7 June 2024, AWS Blog Building NHM London's Planetary Knowledge Base with Amazon Neptune and the Registry of Open Data on AWS ... 5 June 2024, AWS Blog Unit testing Apache TinkerPop transactions: From TinkerGraph to Amazon Neptune | Amazon Web Services 3 June 2024, AWS Blog AWS announces Amazon Neptune I/O-Optimized 22 February 2024, AWS Blog Amazon Neptune Analytics is now available in the AWS Europe (London) Region 14 March 2024, AWS Blog provided by Google News

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