DBMS > Alibaba Cloud PolarDB vs. EJDB vs. PostGIS

System Properties Comparison Alibaba Cloud PolarDB vs. EJDB vs. PostGIS

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Editorial information provided by DB-Engines

Name

Description

A cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

Spatial extension of PostgreSQL

Primary database model

Relational DBMS

Document store

Spatial DBMS

Secondary database models

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	1.35
Rank	#154	Overall
	#69	Relational DBMS

Score	0.10
Rank	#337	Overall
	#47	Document stores

Score	19.70
Rank	#29	Overall
	#1	Spatial DBMS

Website

www.alibabacloud.com/product/polardb

github.com/Softmotions/ejdb

postgis.net

Technical documentation

www.alibabacloud.com/help/en/polardb/product-overview

github.com/Softmotions/ejdb/blob/master/README.md

postgis.net/documentation

Developer

Alibaba

Softmotions

Initial release

2012

2005

Current release

3.4.2, February 2024

License

Commercial or Open Source

commercial

Open Source

GPLv2

Open Source

GPL v2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Server operating systems

hosted

server-less

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

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

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

JDBC
ODBC

in-process shared library

Supported programming languages

Java
Python

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

none

yes

based on PostgreSQL

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

none

yes

based on PostgreSQL

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

typically not needed, however similar functionality with collection joins possible

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

yes

based on PostgreSQL

More information provided by the system vendor

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Typical application scenarios

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Licensing and pricing models

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More resources

DB-Engines blog posts

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