DBMS > Alibaba Cloud MaxCompute vs. FatDB vs. Immudb vs. mSQL

System Properties Comparison Alibaba Cloud MaxCompute vs. FatDB vs. Immudb vs. mSQL

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Editorial information provided by DB-Engines

Name

FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.

Description

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

A .NET NoSQL DBMS that can integrate with and extend SQL Server.

An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.

mSQL (Mini SQL) is a simple and lightweight RDBMS

Primary database model

Relational DBMS

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

Document store
Key-value store

Key-value store

Relational DBMS

Secondary database models

Relational DBMS

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

Score	0.84
Rank	#209	Overall
	#98	Relational DBMS

Score	0.31
Rank	#295	Overall
	#42	Key-value stores

Score	1.27
Rank	#169	Overall
	#76	Relational DBMS

Website

www.alibabacloud.com/product/maxcompute

github.com/codenotary/immudb
immudb.io

hughestech.com.au/products/msql

Technical documentation

www.alibabacloud.com/help/en/maxcompute

docs.immudb.io

Developer

Alibaba

FatCloud

Codenotary

Hughes Technologies

Initial release

2016

2012

2020

1994

Current release

1.2.3, April 2022

4.4, October 2021

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

free licenses can be provided

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

Server operating systems

hosted

Windows

BSD
Linux
macOS
Solaris
Windows
z/OS

AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows

Data scheme

yes

schema-free

yes

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

SQL

Support of SQL

SQL-like query language

Via inetgration in SQL Server

SQL-like syntax

A subset of ANSI SQL is implemented

no subqueries, aggregate functions, views, foreign keys, triggers

APIs and other access methods

Fluentd
Flume
MaxCompute Console

.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings

gRPC protocol
PostgreSQL wire protocol

JDBC
ODBC

Supported programming languages

Java

.Net
Go
Java
JavaScript (Node.js)
Python

C
C++
Delphi
Java
Perl
PHP
Tcl

Server-side scripts

Stored procedures

user defined functions

in Java

yes

via applications

Triggers

yes

via applications

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

selectable replication factor

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

Immediate Consistency

none

Foreign keys

Referential integrity

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

In-memory capabilities

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

User concepts

Access control

Access rights for users and roles

Can implement custom security layer via applications

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