DBMS > H2GIS vs. HugeGraph vs. MySQL vs. UniData,UniVerse vs. YTsaurus

System Properties Comparison H2GIS vs. HugeGraph vs. MySQL vs. UniData,UniVerse vs. YTsaurus

Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

A fast-speed and highly-scalable Graph DBMS

Widely used open source RDBMS

MultiValue database and application server with SQL mapping layer and meta database capabilities

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Spatial DBMS

Graph DBMS

Relational DBMS

Key/Value like access via memcached API

Multivalue DBMS

Document store
Key-value store

Secondary database models

Relational DBMS

Document store
Spatial DBMS

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

Score	0.08
Rank	#368	Overall
	#7	Spatial DBMS

Score	0.17
Rank	#335	Overall
	#31	Graph DBMS

Score	1061.34
Rank	#2	Overall
	#2	Relational DBMS

Score	2.85
Rank	#98	Overall
	#1	Multivalue DBMS

Score	0.21
Rank	#324	Overall
	#45	Document stores
	#48	Key-value stores

Website

www.h2gis.org

github.com/hugegraph
hugegraph.apache.org

www.mysql.com

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-unidata

ytsaurus.tech

Technical documentation

www.h2gis.org/docs/home

hugegraph.apache.org/docs

dev.mysql.com/doc

docs.rocketsoftware.com/bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata

ytsaurus.tech/docs/en

Developer

CNRS

Baidu

Oracle

since 2010, originally MySQL AB, then Sun

Rocket Software

Yandex

Initial release

2013

2018

1995

1985

2023

Current release

0.9

8.4.0, April 2024

License

Commercial or Open Source

Open Source

LGPL 3.0

Open Source

Apache Version 2.0

Open Source

GPL version 2. Commercial licenses with extended functionallity are available

commercial

Open Source

Apache License, Version 2.0

Cloud-based only

Only available as a cloud service

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Implementation language

Java

C and C++

C++

Server operating systems

Linux
macOS
Unix

FreeBSD
Linux
OS X
Solaris
Windows

AIX
HP-UX
Linux
Solaris
Windows

Ubuntu

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

optional

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.

yes

Secondary indexes

yes

also supports composite index and range index

yes

SQL

Support of SQL

yes

with proprietary extensions

yes

YQL, an SQL-based language, is supported

APIs and other access methods

Java API
RESTful HTTP API
TinkerPop Gremlin

ADO.NET
JDBC
ODBC
Proprietary native API

Java API

JPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API

Supported programming languages

Java

Groovy
Java
Python

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

.Net
Basic

U2 Basic
C
Java

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

based on H2

asynchronous Gremlin script jobs

yes

proprietary syntax

yes

Triggers

yes

U2 Basic

Partitioning methods

Methods for storing different data on different nodes

none

yes

depending on used storage backend, e.g. Cassandra and HBase

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

yes

depending on used storage backend, e.g. Cassandra and HBase

Multi-source replication
Source-replica replication

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

via hugegraph-spark

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

edges in graph

yes

not for MyISAM storage engine

Transaction concepts

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

ACID

not for MyISAM storage engine

ACID

configurable

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

table locks or row locks depending on storage engine

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

Users, roles and permissions

Users with fine-grained authorization concept

no user groups or roles

Access rights according to SQL-standard and operating system based

Access Control Lists

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