DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Amazon Neptune vs. BigObject vs. Postgres-XL

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Amazon Neptune vs. BigObject vs. Postgres-XL

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Name	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB  Xexclude from comparison	Amazon Neptune  Xexclude from comparison	BigObject  Xexclude from comparison	Postgres-XL  Xexclude from comparison
Description	An online MPP (Massively Parallel Processing) data warehousing service based on Greenplum	Fast, reliable graph database built for the cloud	Analytic DBMS for real-time computations and queries	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database model	Relational DBMS	Graph DBMS RDF store	Relational DBMS a hierachical model (tree) can be imposed	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 2.29 Rank #113   Overall #9   Graph DBMS #5   RDF stores	Score 0.19 Rank #329   Overall #146   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS
Website	www.alibabacloud.com/­product/­hybriddb-postgresql	aws.amazon.com/­neptune	bigobject.io	www.postgres-xl.org
Technical documentation	www.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overview	aws.amazon.com/­neptune/­developer-resources	docs.bigobject.io	www.postgres-xl.org/­documentation
Developer	Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group	Amazon	BigObject, Inc.
Initial release	2016	2017	2015	2014 since 2012, originally named StormDB
Current release				10 R1, October 2018
License Commercial or Open Source	commercial	commercial	commercial free community edition available	Open Source Mozilla public license
Cloud-based only Only available as a cloud service	yes	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language				C
Server operating systems	hosted	hosted	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	Linux macOS
Data scheme	yes	schema-free	yes	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	yes XML type, but no XML query functionality
Secondary indexes	yes	no	yes	yes
SQL Support of SQL	yes	no	SQL-like DML and DDL statements	yes distributed, parallel query execution
APIs and other access methods	JDBC ODBC	OpenCypher RDF 1.1 / SPARQL 1.1 TinkerPop Gremlin	fluentd ODBC RESTful HTTP API	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	C Java Perl Python R	C# Go Java JavaScript PHP Python Ruby Scala		.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl
Server-side scripts Stored procedures	yes	no	Lua	user defined functions
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	none	none	horizontal partitioning
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.	none
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	none	Immediate Consistency
Foreign keys Referential integrity	yes	yes Relationships in graphs	yes automatically between fact table and dimension tables	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	no	ACID MVCC
Concurrency Support for concurrent manipulation of data	yes	yes	yes Read/write lock on objects (tables, trees)	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		yes	no
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)	no	fine grained access rights according to SQL-standard
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More resources
	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB	Amazon Neptune	BigObject	Postgres-XL
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	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 ADP Neptune Case Study 22 May 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 provided by Google News

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