DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. EsgynDB vs. Stardog vs. ToroDB

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. EsgynDB vs. Stardog vs. ToroDB

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	EsgynDB  Xexclude from comparison	Stardog  Xexclude from comparison	ToroDB  Xexclude from comparison
				ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	An online MPP (Massively Parallel Processing) data warehousing service based on Greenplum	Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion	Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization	A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database model	Relational DBMS	Relational DBMS	Graph DBMS RDF store	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.76 Rank #220   Overall #102   Relational DBMS	Score 0.25 Rank #312   Overall #138   Relational DBMS	Score 2.07 Rank #122   Overall #11   Graph DBMS #6   RDF stores
Website	www.alibabacloud.com/­product/­hybriddb-postgresql	www.esgyn.cn	www.stardog.com	github.com/­torodb/­server
Technical documentation	www.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overview		docs.stardog.com
Developer	Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group	Esgyn	Stardog-Union	8Kdata
Initial release	2016	2015	2010	2016
Current release			7.3.0, May 2020
License Commercial or Open Source	commercial	commercial	commercial 60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students	Open Source AGPL-V3
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	Java	Java
Server operating systems	hosted	Linux	Linux macOS Windows	All OS with a Java 7 VM
Data scheme	yes	yes	schema-free and OWL/RDFS-schema support	schema-free
Typing predefined data types such as float or date	yes	yes	yes	yes string, integer, double, boolean, date, object_id
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 Import/export of XML data possible	no
Secondary indexes	yes	yes	yes supports real-time indexing in full-text and geospatial
SQL Support of SQL	yes	yes	Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methods	JDBC ODBC	ADO.NET JDBC ODBC	GraphQL query language HTTP API Jena RDF API OWL RDF4J API Sesame REST HTTP Protocol SNARL SPARQL Spring Data Stardog Studio TinkerPop 3
Supported programming languages	C Java Perl Python R	All languages supporting JDBC/ODBC/ADO.Net	.Net Clojure Groovy Java JavaScript Python Ruby
Server-side scripts Stored procedures	yes	Java Stored Procedures	user defined functions and aggregates, HTTP Server extensions in Java
Triggers	yes	no	yes via event handlers	no
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	Sharding	none	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	Multi-source replication between multi datacenters	Multi-source replication in HA-Cluster	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency	Immediate Consistency in HA-Cluster	Eventual Consistency Immediate Consistency
Foreign keys Referential integrity	yes	yes	yes relationships in graphs	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	ACID	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	no	yes
User concepts Access control	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard	Access rights for users and roles	Access rights for users and roles
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	EsgynDB	Stardog	ToroDB
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 How Data Analytics Capabilities of Alibaba Group Evolve Its Ecosystem to the Cloud 20 February 2021, DataDrivenInvestor provided by Google News

Share this page