DBMS > Altibase vs. Amazon DocumentDB vs. OpenEdge vs. searchxml

System Properties Comparison Altibase vs. Amazon DocumentDB vs. OpenEdge vs. searchxml

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

Fast, scalable, highly available, and fully managed MongoDB-compatible database service

Application development environment with integrated database management system

DBMS for structured and unstructured content wrapped with an application server

Primary database model

Relational DBMS

Document store

Relational DBMS

Native XML DBMS
Search engine

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

Score	1.07
Rank	#186	Overall
	#87	Relational DBMS

Score	1.91
Rank	#132	Overall
	#24	Document stores

Score	3.51
Rank	#86	Overall
	#46	Relational DBMS

Score	0.00
Rank	#383	Overall
	#7	Native XML DBMS
	#25	Search engines

Website

altibase.com

aws.amazon.com/documentdb

www.progress.com/openedge

www.searchxml.net/category/products

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

aws.amazon.com/documentdb/resources

documentation.progress.com/output/ua/OpenEdge_latest

www.searchxml.net/support/handouts

Developer

Altibase

Progress Software Corporation

informationpartners gmbh

Initial release

1999

2019

1984

2015

Current release

v7.3, 2023, August 2023

OpenEdge 12.2, March 2020

1.0

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

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

C++

Server operating systems

AIX
HP-UX
Linux

hosted

AIX
HP-UX
Linux
Solaris
Windows

Windows

Data scheme

yes

schema-free

yes

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.

yes

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

yes

close to SQL 92

APIs and other access methods

JDBC
ODBC
Proprietary protocol

proprietary protocol using JSON (MongoDB compatible)

JDBC
ODBC

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

C
C++
Java

Go
Java
JavaScript (Node.js)
PHP
Python

Progress proprietary ABL (Advanced Business Language)

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

on the application server

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

horizontal partitioning

since Version 11.4

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-availability zones for high availability, asynchronous replication for up to 15 read replicas

Source-replica replication

yes

sychronisation to multiple collections

MapReduce

Offers an API for user-defined Map/Reduce methods

may be implemented via Amazon Elastic MapReduce (Amazon EMR)

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

typically not used, however similar functionality with DBRef possible

yes

Transaction concepts

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

ACID

Atomic single-document operations

ACID

multiple readers, single writer

Concurrency

Support for concurrent manipulation of data

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

fine grained access rights according to SQL-standard

Access rights for users and roles

Users and groups

Domain, group and role-based access control at the document level and for application services

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More resources

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