DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. EJDB vs. Linter vs. Microsoft Azure Table Storage

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. EJDB vs. Linter vs. Microsoft Azure Table Storage

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	EJDB  Xexclude from comparison	Linter  Xexclude from comparison	Microsoft Azure Table Storage  Xexclude from comparison
Description	An online MPP (Massively Parallel Processing) data warehousing service based on Greenplum	Embeddable document-store database library with JSON representation of queries (in MongoDB style)	RDBMS for high security requirements	A Wide Column Store for rapid development using massive semi-structured datasets
Primary database model	Relational DBMS	Document store	Relational DBMS	Wide column store
Secondary database models			Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.76 Rank #220   Overall #102   Relational DBMS	Score 0.31 Rank #296   Overall #44   Document stores	Score 0.12 Rank #350   Overall #152   Relational DBMS	Score 4.04 Rank #77   Overall #6   Wide column stores
Website	www.alibabacloud.com/­product/­hybriddb-postgresql	github.com/­Softmotions/­ejdb	linter.ru	azure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentation	www.alibabacloud.com/­help/­en/­analyticdb-for-postgresql/­latest/­product-introduction-overview	github.com/­Softmotions/­ejdb/­blob/­master/­README.md
Developer	Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group	Softmotions	relex.ru	Microsoft
Initial release	2016	2012	1990	2012
License Commercial or Open Source	commercial	Open Source GPLv2	commercial	commercial
Cloud-based only Only available as a cloud service	yes	no	no	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		C	C and C++
Server operating systems	hosted	server-less	AIX Android BSD HP Open VMS iOS Linux OS X VxWorks Windows	hosted
Data scheme	yes	schema-free	yes	schema-free
Typing predefined data types such as float or date	yes	yes string, integer, double, bool, date, object_id	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
Secondary indexes	yes	no	yes	no
SQL Support of SQL	yes	no	yes	no
APIs and other access methods	JDBC ODBC	in-process shared library	ADO.NET JDBC LINQ ODBC OLE DB Oracle Call Interface (OCI)	RESTful HTTP API
Supported programming languages	C Java Perl Python R	Actionscript C C# C++ Go Java JavaScript (Node.js) Lua Objective-C Pike Python Ruby	C C# C++ Java Perl PHP Python Qt Ruby Tcl	.Net C# C++ Java JavaScript (Node.js) PHP Python Ruby
Server-side scripts Stored procedures	yes	no	yes proprietary syntax with the possibility to convert from PL/SQL	no
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding Implicit feature of the cloud service	none	none	Sharding Implicit feature of the cloud service
Replication methods Methods for redundantly storing data on multiple nodes	yes Implicit feature of the cloud service	none	Source-replica replication	yes implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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	Immediate Consistency
Foreign keys Referential integrity	yes	no typically not needed, however similar functionality with collection joins possible	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	ACID	optimistic locking
Concurrency Support for concurrent manipulation of data	yes	yes Read/Write Locking	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
User concepts Access control	fine grained access rights according to SQL-standard	no	fine grained access rights according to SQL-standard	Access rights based on private key authentication or shared access signatures
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	EJDB	Linter	Microsoft Azure Table Storage
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			Working with Azure to Use and Manage Data Lakes 7 March 2024, Simplilearn How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB 9 July 2021, hackernoon.com How to use Azure Table storage in .Net 14 January 2019, InfoWorld Quick Guide to Azure Storage Pricing 16 May 2023, DevOps.com How to write data to Azure Table Store with an Azure Function 14 April 2017, Experts Exchange provided by Google News

Share this page