DBMS > H2GIS vs. Kyligence Enterprise vs. OpenEdge

System Properties Comparison H2GIS vs. Kyligence Enterprise vs. OpenEdge

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

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

Application development environment with integrated database management system

Primary database model

Spatial DBMS

Relational DBMS

Secondary database models

Relational DBMS

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

Score	0.04
Rank	#367	Overall
	#7	Spatial DBMS

Score	0.34
Rank	#272	Overall
	#125	Relational DBMS

Score	3.48
Rank	#74	Overall
	#39	Relational DBMS

Website

www.h2gis.org

kyligence.io/kyligence-enterprise

www.progress.com/openedge

Technical documentation

www.h2gis.org/docs/home

documentation.progress.com/output/ua/OpenEdge_latest

Developer

CNRS

Kyligence, Inc.

Progress Software Corporation

Initial release

2013

2016

1984

Current release

OpenEdge 12.2, March 2020

License

Commercial or Open Source

Open Source

LGPL 3.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

Linux

AIX
HP-UX
Linux
Solaris
Windows

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

ANSI SQL for queries (using Apache Calcite)

yes

close to SQL 92

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

JDBC
ODBC

Supported programming languages

Java

Progress proprietary ABL (Advanced Business Language)

Server-side scripts

Stored procedures

yes

based on H2

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

since Version 11.4

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

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

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

Users and groups

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