DBMS > BaseX vs. EsgynDB vs. GeoSpock vs. Oracle Coherence

System Properties Comparison BaseX vs. EsgynDB vs. GeoSpock vs. Oracle Coherence

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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

Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.

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

Spatial and temporal data processing engine for extreme data scale

Oracles in-memory data grid solution

Primary database model

Native XML DBMS

Relational DBMS

Key-value store

Secondary database models

Time Series DBMS

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

Score	1.90
Rank	#136	Overall
	#4	Native XML DBMS

Score	0.23
Rank	#319	Overall
	#141	Relational DBMS

Score	2.02
Rank	#131	Overall
	#22	Key-value stores

Website

basex.org

www.esgyn.cn

geospock.com

www.oracle.com/java/coherence

Technical documentation

docs.basex.org

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

Developer

BaseX GmbH

Esgyn

GeoSpock

Oracle

Initial release

2007

2015

2007

Current release

10.7, August 2023

2.0, September 2019

14.1, August 2023

License

Commercial or Open Source

Open Source

BSD license

commercial

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

C++, Java

Java, Javascript

Java

Server operating systems

Linux
OS X
Windows

Linux

hosted

All OS with a Java VM

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

XQuery supports types

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

temporal, categorical

SQL

Support of SQL

yes

ANSI SQL for query only (using Presto)

APIs and other access methods

Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ

ADO.NET
JDBC
ODBC

JDBC

JCache
JPA
RESTful HTTP API

Supported programming languages

Actionscript
C
C#
Haskell
Java
JavaScript

Node.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic

All languages supporting JDBC/ODBC/ADO.Net

.Net
C++
Java

Server-side scripts

Stored procedures

yes

Java Stored Procedures

Triggers

yes

via events

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Automatic sharding

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication between multi datacenters

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

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

multiple readers, single writer

ACID

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.

yes

User concepts

Access control

Users with fine-grained authorization concept on 4 levels

fine grained access rights according to SQL-standard

Access rights for users can be defined per table

authentification to access the cache via certificates or http basic authentication

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