DBMS > Apache HugeGraph vs. LeanXcale

System Properties Comparison Apache HugeGraph vs. LeanXcale

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Editorial information provided by DB-Engines

Name

Description

A fast-speed and highly-scalable Graph DBMS

A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities

Primary database model

Graph DBMS

Key-value store
Relational DBMS

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

Score	0.20
Rank	#309	Overall
	#26	Graph DBMS

Score	0.27
Rank	#288	Overall
	#41	Key-value stores
	#130	Relational DBMS

Website

github.com/hugegraph
hugegraph.apache.org

www.leanxcale.com

Technical documentation

hugegraph.apache.org/docs

Developer

Baidu

LeanXcale

Initial release

2018

2015

Current release

0.9

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

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.

Secondary indexes

yes

also supports composite index and range index

SQL

Support of SQL

yes

through Apache Derby

APIs and other access methods

Java API
RESTful HTTP API
TinkerPop Gremlin

JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector

Supported programming languages

Groovy
Java
Python

C
Java
Scala

Server-side scripts

Stored procedures

asynchronous Gremlin script jobs

Triggers

Partitioning methods

Methods for storing different data on different nodes

yes

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

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

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

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

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More resources

Recent citations in the news

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

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

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

CISA issues warning over critical Apache HugeGraph-Server vulnerability
20 September 2024, Tech Monitor

Apache HugeGraph-Server flaw actively exploited, CISA warns
20 September 2024, TechRadar

provided by Google News

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