DBMS > Microsoft Azure Table Storage vs. OpenEdge vs. Percona Server for MongoDB vs. ReductStore

System Properties Comparison Microsoft Azure Table Storage vs. OpenEdge vs. Percona Server for MongoDB vs. ReductStore

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Editorial information provided by DB-Engines

Name

Description

A Wide Column Store for rapid development using massive semi-structured datasets

Application development environment with integrated database management system

A drop-in replacement for MongoDB Community Edition with enterprise-grade features.

Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.

Primary database model

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

Score	4.04
Rank	#77	Overall
	#6	Wide column stores

Score	3.45
Rank	#85	Overall
	#46	Relational DBMS

Score	0.60
Rank	#246	Overall
	#39	Document stores

Score	0.05
Rank	#384	Overall
	#44	Time Series DBMS

Website

azure.microsoft.com/en-us/services/storage/tables

www.progress.com/openedge

www.percona.com/mongodb/software/percona-server-for-mongodb

github.com/reductstore
www.reduct.store

Technical documentation

documentation.progress.com/output/ua/OpenEdge_latest

docs.percona.com/percona-distribution-for-mongodb

www.reduct.store/docs

Developer

Microsoft

Progress Software Corporation

Percona

ReductStore LLC

Initial release

2012

1984

2015

2023

Current release

OpenEdge 12.2, March 2020

3.4.10-2.10, November 2017

1.9, March 2024

License

Commercial or Open Source

commercial

Open Source

GPL Version 2

Open Source

Business Source License 1.1

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++

C++, Rust

Server operating systems

hosted

AIX
HP-UX
Linux
Solaris
Windows

Linux

Docker
Linux
macOS
Windows

Data scheme

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

yes

close to SQL 92

APIs and other access methods

RESTful HTTP API

JDBC
ODBC

proprietary protocol using JSON

HTTP API

Supported programming languages

.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby

Progress proprietary ABL (Advanced Business Language)

Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk

C++
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

yes

JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

horizontal partitioning

since Version 11.4

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.

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

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

optimistic locking

ACID

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

via In-Memory Engine

User concepts

Access control

Access rights based on private key authentication or shared access signatures

Users and groups

Access rights for users and roles

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