DBMS > H2GIS vs. JaguarDB vs. Microsoft Azure Table Storage vs. openGauss

System Properties Comparison H2GIS vs. JaguarDB vs. Microsoft Azure Table Storage vs. openGauss

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

Performant, highly scalable DBMS for AI and IoT applications

A Wide Column Store for rapid development using massive semi-structured datasets

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

Primary database model

Spatial DBMS

Key-value store
Vector DBMS

Wide column store

Relational DBMS

Secondary database models

Relational DBMS

Document store
Spatial DBMS

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

Score	0.00
Rank	#385	Overall
	#7	Spatial DBMS

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

Score	3.55
Rank	#80	Overall
	#6	Wide column stores

Score	1.11
Rank	#175	Overall
	#79	Relational DBMS

Website

www.h2gis.org

www.jaguardb.com

azure.microsoft.com/en-us/services/storage/tables

gitee.com/opengauss
opengauss.org

Technical documentation

www.h2gis.org/docs/home

www.jaguardb.com/support.html

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

Developer

CNRS

DataJaguar, Inc.

Microsoft

Huawei and openGauss community

Initial release

2013

2015

2012

2019

Current release

3.3 July 2023

3.0, March 2022

License

Commercial or Open Source

Open Source

LGPL 3.0

Open Source

GPL V3.0

commercial

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

Java

C++

the server part. Clients available in other languages

C, C++, Java

Server operating systems

Linux

hosted

Linux

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

yes

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

ANSI SQL 2011

APIs and other access methods

JDBC
ODBC

RESTful HTTP API

JDBC
ODBC

Supported programming languages

Java

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

.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby

C
C++
Java

Server-side scripts

Stored procedures

yes

based on H2

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

horizontal partitioning (by range, list and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

Multi-source replication

yes

implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

optimistic locking

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

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.

yes

User concepts

Access control

yes

based on H2

rights management via user accounts

Access rights based on private key authentication or shared access signatures

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

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