DBMS > atoti vs. FatDB vs. H2GIS vs. openGauss vs. SQL.JS

System Properties Comparison atoti vs. FatDB vs. H2GIS vs. openGauss vs. SQL.JS

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

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

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

Spatial extension of H2

An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei

Port of SQLite to JavaScript

Primary database model

Object oriented DBMS

Document store
Key-value store

Spatial DBMS

Relational DBMS

Secondary database models

Relational DBMS

Document store
Spatial DBMS

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

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	1.08
Rank	#183	Overall
	#84	Relational DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

atoti.io

www.h2gis.org

gitee.com/opengauss
opengauss.org

sql.js.org

Technical documentation

docs.atoti.io

www.h2gis.org/docs/home

docs.opengauss.org/en
gitee.com/opengauss/docs

sql.js.org/documentation/index.html

Developer

ActiveViam

FatCloud

CNRS

Huawei and openGauss community

Alon Zakai

enhancements implemented by others

Initial release

2012

2013

2019

2012

Current release

3.0, March 2022

License

Commercial or Open Source

commercial

free versions available

commercial

Open Source

LGPL 3.0

Open Source

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

C, C++, Java

JavaScript

Server operating systems

Windows

Linux

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

Data scheme

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

Multidimensional Expressions (MDX)

Via inetgration in SQL Server

yes

ANSI SQL 2011

yes

SQL-92 is not fully supported

APIs and other access methods

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

JDBC
ODBC

JavaScript API

Supported programming languages

Java

C
C++
Java

JavaScript

Server-side scripts

Stored procedures

Python

yes

via applications

yes

based on H2

yes

Triggers

yes

via applications

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

Sharding

none

horizontal partitioning (by range, list and hash)

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

yes

based on H2

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

Eventual Consistency
Immediate Consistency

Immediate Consistency

none

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, multi-version concurrency control (MVCC)

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

except by serializing a db to a file

In-memory capabilities

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

yes

User concepts

Access control

Can implement custom security layer via applications

yes

based on H2

Access rights for users, groups and roles according to SQL-standard

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More resources

DB-Engines blog posts

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