DBMS > H2GIS vs. JanusGraph vs. Kyligence Enterprise

System Properties Comparison H2GIS vs. JanusGraph vs. Kyligence Enterprise

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

A Graph DBMS optimized for distributed clusters

It was forked from the latest code base of Titan in January 2017

A distributed analytics engine for big data, built on top of Apache Kylin

Primary database model

Spatial DBMS

Graph DBMS

Relational DBMS

Secondary database models

Relational DBMS

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

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	1.94
Rank	#129	Overall
	#12	Graph DBMS

Score	0.40
Rank	#269	Overall
	#124	Relational DBMS

Website

www.h2gis.org

janusgraph.org

kyligence.io/kyligence-enterprise

Technical documentation

www.h2gis.org/docs/home

docs.janusgraph.org

Developer

CNRS

Linux Foundation; originally developed as Titan by Aurelius

Kyligence, Inc.

Initial release

2013

2017

2016

Current release

0.6.3, February 2023

License

Commercial or Open Source

Open Source

LGPL 3.0

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

Linux
OS X
Unix
Windows

Linux

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

ANSI SQL for queries (using Apache Calcite)

APIs and other access methods

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

JDBC
ODBC
RESTful HTTP API

Supported programming languages

Java

Clojure
Java
Python

Server-side scripts

Stored procedures

yes

based on H2

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

depending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Faunus, a graph analytics engine

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

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

Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast

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

User authentification and security via Rexster Graph Server

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