DBMS > atoti vs. HugeGraph vs. PostGIS

System Properties Comparison atoti vs. HugeGraph vs. PostGIS

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Editorial information provided by DB-Engines

Name

Description

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

A fast-speed and highly-scalable Graph DBMS

Spatial extension of PostgreSQL

Primary database model

Object oriented DBMS

Graph DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	0.13
Rank	#336	Overall
	#32	Graph DBMS

Score	22.69
Rank	#29	Overall
	#1	Spatial DBMS

Website

atoti.io

github.com/hugegraph
hugegraph.apache.org

postgis.net

Technical documentation

docs.atoti.io

hugegraph.apache.org/docs

postgis.net/documentation

Developer

ActiveViam

Baidu

Initial release

2018

2005

Current release

0.9

3.4.2, February 2024

License

Commercial or Open Source

commercial

free versions available

Open Source

Apache Version 2.0

Open Source

GPL v2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

Linux
macOS
Unix

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.

yes

Secondary indexes

yes

also supports composite index and range index

yes

SQL

Support of SQL

Multidimensional Expressions (MDX)

yes

APIs and other access methods

Java API
RESTful HTTP API
TinkerPop Gremlin

Supported programming languages

Groovy
Java
Python

Server-side scripts

Stored procedures

Python

asynchronous Gremlin script jobs

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

yes

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

yes

based on PostgreSQL

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

yes

based on PostgreSQL

MapReduce

Offers an API for user-defined Map/Reduce methods

via hugegraph-spark

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

edges in graph

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

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

Users, roles and permissions

yes

based on PostgreSQL

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

FRTB product of the year: ActiveViam
28 November 2023, Risk.net

provided by Google News

Critical Apache HugeGraph Flaw Let Attackers Execute Remote Code
23 April 2024, GBHackers

provided by Google News

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