DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. Drizzle vs. Hyprcubd vs. Stardog

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. Drizzle vs. Hyprcubd vs. Stardog

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Name	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB  Xexclude from comparison	Drizzle  Xexclude from comparison	Hyprcubd  Xexclude from comparison	Stardog  Xexclude from comparison
		Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.	Hyprcubd 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	MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.	Serverless Time Series DBMS	Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database model	Relational DBMS	Relational DBMS	Time Series DBMS	Graph DBMS RDF store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.76 Rank #220   Overall #102   Relational DBMS			Score 2.07 Rank #122   Overall #11   Graph DBMS #6   RDF stores
Website	www.alibabacloud.com/­product/­hybriddb-postgresql		hyprcubd.com (offline)	www.stardog.com
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	Drizzle project, originally started by Brian Aker	Hyprcubd, Inc.	Stardog-Union
Initial release	2016	2008		2010
Current release		7.2.4, September 2012		7.3.0, May 2020
License Commercial or Open Source	commercial	Open Source GNU GPL	commercial	commercial 60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only Only available as a cloud service	yes	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		C++	Go	Java
Server operating systems	hosted	FreeBSD Linux OS X	hosted	Linux macOS Windows
Data scheme	yes	yes	yes	schema-free and OWL/RDFS-schema support
Typing predefined data types such as float or date	yes	yes	yes time, int, uint, float, string	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 Import/export of XML data possible
Secondary indexes	yes	yes	no	yes supports real-time indexing in full-text and geospatial
SQL Support of SQL	yes	yes with proprietary extensions	SQL-like query language	Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methods	JDBC ODBC	JDBC	gRPC (https)	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	C C++ Java PHP		.Net Clojure Groovy Java JavaScript Python Ruby
Server-side scripts Stored procedures	yes	no	no	user defined functions and aggregates, HTTP Server extensions in Java
Triggers	yes	no hooks for callbacks inside the server can be used.	no	yes via event handlers
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	Sharding		none
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	Multi-source replication Source-replica replication		Multi-source replication in HA-Cluster
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		Eventual Consistency	Immediate Consistency in HA-Cluster
Foreign keys Referential integrity	yes	yes	no	yes relationships in graphs
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	no	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	Pluggable authentication mechanisms e.g. LDAP, HTTP	token access	Access rights for users and roles
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More resources
	Alibaba Cloud AnalyticDB for PostgreSQL former name was HybridDB	Drizzle	Hyprcubd	Stardog
DB-Engines blog posts		MySQL won the April ranking; did its forks follow? 1 April 2015, Paul Andlinger Has MySQL finally lost its mojo? 1 July 2013, Matthias Gelbmann show all
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

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