DBMS > Apache HugeGraph vs. VoltDB

System Properties Comparison Apache HugeGraph vs. VoltDB

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Editorial information provided by DB-Engines

Name

Description

A fast-speed and highly-scalable Graph DBMS

Distributed In-Memory NewSQL RDBMS

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

Primary database model

Graph DBMS

Relational DBMS

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

Score	0.27
Rank	#295	Overall
	#24	Graph DBMS

Score	1.32
Rank	#156	Overall
	#71	Relational DBMS

Website

github.com/hugegraph
hugegraph.apache.org

www.voltdb.com

Technical documentation

hugegraph.apache.org/docs

docs.voltdb.com

Developer

Baidu

VoltDB Inc.

Initial release

2018

2010

Current release

0.9

11.3, April 2022

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Java, C++

Server operating systems

Linux
macOS
Unix

Linux
OS X

for development

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

also supports composite index and range index

yes

SQL

Support of SQL

yes

only a subset of SQL 99

APIs and other access methods

Java API
RESTful HTTP API
TinkerPop Gremlin

Java API
JDBC
RESTful HTTP/JSON API

Supported programming languages

Groovy
Java
Python

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

asynchronous Gremlin script jobs

Java

Triggers

Partitioning methods

Methods for storing different data on different nodes

yes

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

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

Multi-source replication
Source-replica replication

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

Foreign keys

Referential integrity

yes

edges in graph

FOREIGN KEY constraints are not supported

Transaction concepts

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

ACID

Transactions are executed single-threaded within stored procedures

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

Snapshots and command logging

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

Users and roles with access to stored procedures

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More resources

Recent citations in the news

Critical Apache HugeGraph Vulnerability Under Attack - Patch ASAP
17 July 2024, The Hacker News

CISA warns of actively exploited Apache HugeGraph-Server bug
19 September 2024, BleepingComputer

POC exploit code published for 9.8-rated Apache HugeGraph RCE flaw
7 June 2024, The Register

Apache HugeGraph Vulnerability Exploited in Wild
17 July 2024, SecurityWeek

Critical Apache HugeGraph Flaw Under Attack | Decipher
16 July 2024, Decipher

provided by Google News

VoltDB Makes Key New Hires to Accelerate Telco Business Growth
28 October 2021, The Fast Mode

VoltDB Launches Active(N) Lossless Cross Data Center Replication
31 August 2021, PR Newswire

VoltDB Aims for Fast Big Data Development
29 January 2015, ADT Magazine

MemSQL, VoltDB Vie For In-Memory Big Data Role
12 February 2015, InformationWeek

VoltDB Partners with Google Cloud for 5G Edge Applications
24 June 2021, PR Newswire

provided by Google News

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