DBMS > Alibaba Cloud MaxCompute vs. JaguarDB vs. PostGIS vs. PouchDB

System Properties Comparison Alibaba Cloud MaxCompute vs. JaguarDB vs. PostGIS vs. PouchDB

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Editorial information provided by DB-Engines

Name

Description

MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing

Performant, highly scalable DBMS for AI and IoT applications

Spatial extension of PostgreSQL

JavaScript DBMS with an API inspired by CouchDB

Primary database model

Relational DBMS

a graph-processing framework is available with the graphs being stored in tables

Key-value store
Vector DBMS

Spatial DBMS

Document store

Secondary database models

Relational DBMS

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

Score	0.85
Rank	#203	Overall
	#96	Relational DBMS

Score	0.00
Rank	#385	Overall
	#61	Key-value stores
	#16	Vector DBMS

Score	20.16
Rank	#29	Overall
	#1	Spatial DBMS

Score	2.18
Rank	#114	Overall
	#21	Document stores

Website

www.alibabacloud.com/product/maxcompute

www.jaguardb.com

postgis.net

pouchdb.com

Technical documentation

www.alibabacloud.com/help/en/maxcompute

www.jaguardb.com/support.html

postgis.net/documentation

pouchdb.com/guides

Developer

Alibaba

DataJaguar, Inc.

Apache Software Foundation

Initial release

2016

2015

2005

2012

Current release

3.3 July 2023

3.4.2, February 2024

7.1.1, June 2019

License

Commercial or Open Source

commercial

Open Source

GPL V3.0

Open Source

GPL v2.0

Open Source

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

the server part. Clients available in other languages

JavaScript

Server operating systems

hosted

Linux

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

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

via views

SQL

Support of SQL

SQL-like query language

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

yes

APIs and other access methods

Fluentd
Flume
MaxCompute Console

JDBC
ODBC

HTTP REST

only for PouchDB Server
JavaScript API

Supported programming languages

Java

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

JavaScript

Server-side scripts

Stored procedures

user defined functions

in Java

user defined functions

View functions in JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

yes

based on PostgreSQL

Sharding

with a proxy-based framework, named couchdb-lounge

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

Multi-source replication

yes

based on PostgreSQL

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, WebSQL or LevelDB as backend

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users and roles

rights management via user accounts

yes

based on PostgreSQL

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More resources

DB-Engines blog posts

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