DBMS > Geode vs. GeoSpock vs. H2GIS vs. HugeGraph

System Properties Comparison Geode vs. GeoSpock vs. H2GIS vs. HugeGraph

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Editorial information provided by DB-Engines

Name

GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.

Description

Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes

Spatial and temporal data processing engine for extreme data scale

Spatial extension of H2

A fast-speed and highly-scalable Graph DBMS

Primary database model

Secondary database models

Time Series DBMS

Relational DBMS

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

Score	1.92
Rank	#131	Overall
	#23	Key-value stores

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	0.13
Rank	#336	Overall
	#32	Graph DBMS

Website

geode.apache.org

geospock.com

www.h2gis.org

github.com/hugegraph
hugegraph.apache.org

Technical documentation

geode.apache.org/docs

www.h2gis.org/docs/home

hugegraph.apache.org/docs

Developer

Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.

GeoSpock

CNRS

Baidu

Initial release

2002

2013

2018

Current release

1.1, February 2017

2.0, September 2019

0.9

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available as Gemfire

commercial

Open Source

LGPL 3.0

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Java, Javascript

Java

Server operating systems

All OS with a Java VM

the JDK (8 or later) is also required

hosted

Linux
macOS
Unix

Data scheme

schema-free

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

temporal, categorical

yes

also supports composite index and range index

SQL

Support of SQL

SQL-like query language (OQL)

ANSI SQL for query only (using Presto)

yes

APIs and other access methods

Java Client API
Memcached protocol
RESTful HTTP API

JDBC

Java API
RESTful HTTP API
TinkerPop Gremlin

Supported programming languages

.Net
All JVM based languages
C++
Groovy
Java
Scala

Java

Groovy
Java
Python

Server-side scripts

Stored procedures

user defined functions

yes

based on H2

asynchronous Gremlin script jobs

Triggers

yes

Cache Event Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Automatic sharding

none

yes

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

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

yes

based on H2

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

Eventual Consistency

Foreign keys

Referential integrity

yes

edges in graph

Transaction concepts

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

yes, on a single node

ACID

Concurrency

Support for concurrent manipulation of data

yes

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

Access rights per client and object definable

Access rights for users can be defined per table

yes

based on H2

Users, roles and permissions

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More resources

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