DBMS > GeoSpock vs. Kyligence Enterprise vs. Oracle Coherence vs. Oracle Rdb

System Properties Comparison GeoSpock vs. Kyligence Enterprise vs. Oracle Coherence vs. Oracle Rdb

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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

Spatial and temporal data processing engine for extreme data scale

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

Oracles in-memory data grid solution

Primary database model

Relational DBMS

Key-value store

Relational DBMS

Secondary database models

Time Series DBMS

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

Score	0.40
Rank	#269	Overall
	#124	Relational DBMS

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Score	1.08
Rank	#184	Overall
	#85	Relational DBMS

Website

geospock.com

kyligence.io/kyligence-enterprise

www.oracle.com/java/coherence

www.oracle.com/database/technologies/related/rdb.html

Technical documentation

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

www.oracle.com/database/technologies/related/rdb-doc.html

Developer

GeoSpock

Kyligence, Inc.

Oracle

Oracle, originally developed by Digital Equipment Corporation (DEC)

Initial release

2016

2007

1984

Current release

2.0, September 2019

14.1, August 2023

7.4.1.1, 2021

License

Commercial or Open Source

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, Javascript

Java

Server operating systems

hosted

Linux

All OS with a Java VM

HP Open VMS

Data scheme

yes

schema-free

Flexible Schema (defined schema, partial schema, 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

temporal, categorical

yes

SQL

Support of SQL

ANSI SQL for query only (using Presto)

ANSI SQL for queries (using Apache Calcite)

yes

APIs and other access methods

JDBC

JDBC
ODBC
RESTful HTTP API

JCache
JPA
RESTful HTTP API

Supported programming languages

.Net
C++
Java

Server-side scripts

Stored procedures

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

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

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

configurable

yes, on a single node

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

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 for users can be defined per table

authentification to access the cache via certificates or http basic authentication

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More resources

Recent citations in the news

How GeoSpock is supercharging geospatial analytics
23 February 2021, ComputerWeekly.com

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20 June 2019, AWS Blog

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2 October 2020, AlexaBlockchain

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16 May 2018, ExchangeWire

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8 October 2020, Cambridge Independent

provided by Google News

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20 February 2020, Datanami

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9 November 2022, AWS Blog

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