DBMS > Alibaba Cloud MaxCompute vs. Sequoiadb vs. SQL.JS vs. Transwarp Hippo

System Properties Comparison Alibaba Cloud MaxCompute vs. Sequoiadb vs. SQL.JS vs. Transwarp Hippo

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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

NewSQL database with distributed OLTP and SQL

Port of SQLite to JavaScript

Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets

Primary database model

Relational DBMS

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

Document store
Relational DBMS

Relational DBMS

Vector DBMS

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

Score	0.77
Rank	#214	Overall
	#98	Relational DBMS

Score	0.45
Rank	#261	Overall
	#41	Document stores
	#122	Relational DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Score	0.00
Rank	#383	Overall
	#13	Vector DBMS

Website

www.alibabacloud.com/product/maxcompute

www.sequoiadb.com

sql.js.org

www.transwarp.cn/en/subproduct/hippo

Technical documentation

www.alibabacloud.com/help/en/maxcompute

www.sequoiadb.com/en/index.php?m=Files&a=index

sql.js.org/documentation/index.html

Developer

Alibaba

Sequoiadb Ltd.

Alon Zakai

enhancements implemented by others

Initial release

2016

2013

2012

2023

Current release

1.0, May 2023

License

Commercial or Open Source

commercial

Open Source

Server: AGPL; Client: Apache V2

Open Source

commercial

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++

JavaScript

C++

Server operating systems

hosted

Linux

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

Linux
macOS

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

oid, date, timestamp, binary, regex

yes

Vector, Numeric and String

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

SQL

Support of SQL

SQL-like query language

yes

SQL-92 is not fully supported

APIs and other access methods

Fluentd
Flume
MaxCompute Console

proprietary protocol using JSON

JavaScript API

RESTful HTTP API

Supported programming languages

Java

.Net
C++
Java
PHP
Python

JavaScript

C++
Java
Python

Server-side scripts

Stored procedures

user defined functions

in Java

JavaScript

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

Source-replica replication

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

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Document is locked during a transaction

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

except by serializing a db to a file

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

simple password-based access control

Role based access control and fine grained access rights

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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