DBMS > Alibaba Cloud MaxCompute vs. atoti vs. PouchDB vs. Yanza

System Properties Comparison Alibaba Cloud MaxCompute vs. atoti vs. PouchDB vs. Yanza

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Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

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

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

JavaScript DBMS with an API inspired by CouchDB

Time Series DBMS for IoT Applications

Primary database model

Relational DBMS

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

Object oriented DBMS

Document store

Time Series DBMS

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

Score	0.84
Rank	#209	Overall
	#98	Relational DBMS

Score	0.61
Rank	#243	Overall
	#11	Object oriented DBMS

Score	2.34
Rank	#112	Overall
	#21	Document stores

Website

www.alibabacloud.com/product/maxcompute

atoti.io

pouchdb.com

yanza.com

Technical documentation

www.alibabacloud.com/help/en/maxcompute

docs.atoti.io

pouchdb.com/guides

Developer

Alibaba

ActiveViam

Apache Software Foundation

Yanza

Initial release

2016

2012

2015

Current release

7.1.1, June 2019

License

Commercial or Open Source

commercial

free versions available

Open Source

commercial

free version available

Cloud-based only

Only available as a cloud service

yes

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

JavaScript

Server operating systems

hosted

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

Windows

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.

Secondary indexes

yes

via views

SQL

Support of SQL

SQL-like query language

Multidimensional Expressions (MDX)

APIs and other access methods

Fluentd
Flume
MaxCompute Console

HTTP REST

only for PouchDB Server
JavaScript API

HTTP API

Supported programming languages

Java

JavaScript

any language that supports HTTP calls

Server-side scripts

Stored procedures

user defined functions

in Java

Python

View functions in JavaScript

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding, horizontal partitioning

Sharding

with a proxy-based framework, named couchdb-lounge

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

none

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

Foreign keys

Referential integrity

Transaction concepts

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

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

by using IndexedDB, WebSQL or LevelDB as backend

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

Access rights for users and roles

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More resources

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