DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Amazon DocumentDB vs. Atos Standard Common Repository vs. Newts

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Amazon DocumentDB vs. Atos Standard Common Repository vs. Newts

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB  Xexclude from comparison	Amazon DocumentDB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	Newts  Xexclude from comparison
			This system has been discontinued and will be removed from the DB-Engines ranking.
Description	An online MPP (Massively Parallel Processing) data warehousing service based on Greenplum	Fast, scalable, highly available, and fully managed MongoDB-compatible database service	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Time Series DBMS based on Cassandra
Primary database model	Relational DBMS	Document store	Document store Key-value store	Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.76 Rank #220   Overall #102   Relational DBMS	Score 1.91 Rank #131   Overall #24   Document stores		Score 0.07 Rank #375   Overall #41   Time Series DBMS
Website	www.alibabacloud.com/­product/­hybriddb-postgresql	aws.amazon.com/­documentdb	atos.net/en/convergence-creators/portfolio/standard-common-repository	opennms.github.io/­newts
Technical documentation	www.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overview	aws.amazon.com/­documentdb/­resources		github.com/­OpenNMS/­newts/­wiki
Developer	Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group		Atos Convergence Creators	OpenNMS Group
Initial release	2016	2019	2016	2014
Current release			1703
License Commercial or Open Source	commercial	commercial	commercial	Open Source Apache 2.0
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			Java	Java
Server operating systems	hosted	hosted	Linux	Linux OS X Windows
Data scheme	yes	schema-free	Schema and schema-less with LDAP views	schema-free
Typing predefined data types such as float or date	yes	yes	optional	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	no
Secondary indexes	yes	yes	yes	no
SQL Support of SQL	yes	no	no	no
APIs and other access methods	JDBC ODBC	proprietary protocol using JSON (MongoDB compatible)	LDAP	HTTP REST Java API
Supported programming languages	C Java Perl Python R	Go Java JavaScript (Node.js) PHP Python	All languages with LDAP bindings	Java
Server-side scripts Stored procedures	yes	no	no	no
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	none	Sharding cell division	Sharding based on Cassandra
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas	yes	selectable replication factor based on Cassandra
MapReduce Offers an API for user-defined Map/Reduce methods	no	no may be implemented via Amazon Elastic MapReduce (Amazon EMR)		no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration	Eventual Consistency based on Cassandra Immediate Consistency based on Cassandra
Foreign keys Referential integrity	yes	no typically not used, however similar functionality with DBRef possible	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic single-document operations	Atomic execution of specific operations	no
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		yes	no
User concepts Access control	fine grained access rights according to SQL-standard	Access rights for users and roles	LDAP bind authentication	no
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB	Amazon DocumentDB	Atos Standard Common Repository	Newts
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 How Data Analytics Capabilities of Alibaba Group Evolve Its Ecosystem to the Cloud 20 February 2021, DataDrivenInvestor provided by Google News	A hybrid approach for homogeneous migration to an Amazon DocumentDB elastic cluster | Amazon Web Services 4 June 2024, AWS Blog Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services 29 November 2023, AWS Blog Use LangChain and vector search on Amazon DocumentDB to build a generative AI chatbot | Amazon Web Services 20 May 2024, AWS Blog AWS announces vector search for Amazon DocumentDB 29 November 2023, AWS Blog Use headless clusters in Amazon DocumentDB for cost-effective multi-Region resiliency | Amazon Web Services 8 March 2024, AWS Blog provided by Google News

Share this page