DBMS > EsgynDB vs. GeoMesa vs. gStore vs. Oracle Coherence

System Properties Comparison EsgynDB vs. GeoMesa vs. gStore vs. Oracle Coherence

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Editorial information provided by DB-Engines

Name

Description

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.

A native Graph DBMS to store and maintain very large RDF datasets.

Oracles in-memory data grid solution

Primary database model

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

Score	0.25
Rank	#312	Overall
	#138	Relational DBMS

Score	0.86
Rank	#205	Overall
	#4	Spatial DBMS

Score	0.14
Rank	#342	Overall
	#34	Graph DBMS
	#16	RDF stores

Score	1.97
Rank	#129	Overall
	#22	Key-value stores

Website

www.esgyn.cn

www.geomesa.org

en.gstore.cn

www.oracle.com/java/coherence

Technical documentation

www.geomesa.org/documentation/stable/user/index.html

en.gstore.cn/#/enDocs

docs.oracle.com/en/middleware/standalone/coherence

Developer

Esgyn

CCRi and others

Oracle

Initial release

2015

2014

2016

2007

Current release

5.0.0, May 2024

1.2, November 2023

14.1, August 2023

License

Commercial or Open Source

commercial

Open Source

Apache License 2.0

Open Source

BSD

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

C++, Java

Scala

C++

Java

Server operating systems

Linux

All OS with a Java VM

Data scheme

yes

schema-free and OWL/RDFS-schema support

schema-free

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

APIs and other access methods

ADO.NET
JDBC
ODBC

HTTP API
SPARQL 1.1

JCache
JPA
RESTful HTTP API

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

C++
Java
JavaScript (Node.js)
PHP
Python

.Net
C++
Java

Server-side scripts

Stored procedures

Java Stored Procedures

yes

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

depending on storage layer

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication between multi datacenters

depending on storage layer

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

depending on storage layer

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

depending on storage layer

yes

User concepts

Access control

fine grained access rights according to SQL-standard

yes

depending on the DBMS used for storage

Users, roles and permissions, Role-Based Access Control (RBAC) supported

authentification to access the cache via certificates or http basic authentication

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More resources

DB-Engines blog posts

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6 April 2021, Matthias Gelbmann

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