DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. BigObject vs. EsgynDB vs. GeoMesa

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. BigObject vs. EsgynDB vs. GeoMesa

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	BigObject  Xexclude from comparison	EsgynDB  Xexclude from comparison	GeoMesa  Xexclude from comparison
Description	An online MPP (Massively Parallel Processing) data warehousing service based on Greenplum	Analytic DBMS for real-time computations and queries	Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion	GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.
Primary database model	Relational DBMS	Relational DBMS a hierachical model (tree) can be imposed	Relational DBMS	Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.76 Rank #220   Overall #102   Relational DBMS	Score 0.19 Rank #329   Overall #146   Relational DBMS	Score 0.25 Rank #312   Overall #138   Relational DBMS	Score 0.86 Rank #205   Overall #4   Spatial DBMS
Website	www.alibabacloud.com/­product/­hybriddb-postgresql	bigobject.io	www.esgyn.cn	www.geomesa.org
Technical documentation	www.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overview	docs.bigobject.io		www.geomesa.org/­documentation/­stable/­user/­index.html
Developer	Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group	BigObject, Inc.	Esgyn	CCRi and others
Initial release	2016	2015	2015	2014
Current release				5.0.0, May 2024
License Commercial or Open Source	commercial	commercial free community edition available	commercial	Open Source Apache License 2.0
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			C++, Java	Scala
Server operating systems	hosted	Linux distributed as a docker-image OS X distributed as a docker-image (boot2docker) Windows distributed as a docker-image (boot2docker)	Linux
Data scheme	yes	yes	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	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	yes	SQL-like DML and DDL statements	yes	no
APIs and other access methods	JDBC ODBC	fluentd ODBC RESTful HTTP API	ADO.NET JDBC ODBC
Supported programming languages	C Java Perl Python R		All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts Stored procedures	yes	Lua	Java Stored Procedures	no
Triggers	yes	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	none	Sharding	depending on storage layer
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	none	Multi-source replication between multi datacenters	depending on storage layer
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	yes	yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	none	Immediate Consistency	depending on storage layer
Foreign keys Referential integrity	yes	yes automatically between fact table and dimension tables	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes Read/write lock on objects (tables, trees)	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	depending on storage layer
User concepts Access control	fine grained access rights according to SQL-standard	no	fine grained access rights according to SQL-standard	yes depending on the DBMS used for storage
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	BigObject	EsgynDB	GeoMesa
DB-Engines blog posts				Spatial database management systems 6 April 2021, 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 How Data Analytics Capabilities of Alibaba Group Evolve Its Ecosystem to the Cloud 20 February 2021, DataDrivenInvestor Alibaba Cloud ignites AI innovation in Singapore with recent hackathon | KrASIA 27 March 2024, KrASIA provided by Google News

Share this page