DBMS > Graph Engine vs. H2GIS vs. OushuDB vs. TDSQL for MySQL

System Properties Comparison Graph Engine vs. H2GIS vs. OushuDB vs. TDSQL for MySQL

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Editorial information provided by DB-Engines

Name

Description

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

Spatial extension of H2

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.

Primary database model

Graph DBMS
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	#241	Overall
	#21	Graph DBMS
	#34	Key-value stores

Score	0.00
Rank	#385	Overall
	#7	Spatial DBMS

Score	0.05
Rank	#357	Overall
	#151	Relational DBMS

Score	0.96
Rank	#192	Overall
	#88	Relational DBMS

Website

www.graphengine.io

www.h2gis.org

www.oushu.com/product/oushuDB

www.tencentcloud.com/products/dcdb

Technical documentation

www.graphengine.io/docs/manual

www.h2gis.org/docs/home

www.oushu.com/documentation

www.tencentcloud.com/document/product/1042

Developer

Microsoft

CNRS

Oushu

Tencent

Initial release

2010

2013

Current release

4.0.1, August 2020

License

Commercial or Open Source

Open Source

MIT License

Open Source

LGPL 3.0

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

.NET and C

Java

Server operating systems

.NET

Linux

hosted

Data scheme

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

Full-featured ANSI SQL support

yes

APIs and other access methods

RESTful HTTP API

JDBC
ODBC

Supported programming languages

C#
C++
F#
Visual Basic

Java

C
C++

C
C#
C++
Java
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

based on H2

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

yes

Automatic sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

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

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

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

Kerberos, SSL and role based access

Users with fine-grained authorization concept

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More resources

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Trinity
30 October 2010, Microsoft

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