DBMS > OpenEdge vs. OpenMLDB vs. OpenSearch vs. Oracle NoSQL

System Properties Comparison OpenEdge vs. OpenMLDB vs. OpenSearch vs. Oracle NoSQL

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

An open-source machine learning database that provides a feature platform for training and inference

A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene

A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes

Primary database model

Relational DBMS

Time Series DBMS

Search engine

Document store
Key-value store
Relational DBMS

Secondary database models

Relational DBMS

Vector DBMS

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

Score	3.45
Rank	#85	Overall
	#46	Relational DBMS

Score	0.10
Rank	#359	Overall
	#36	Time Series DBMS

Score	16.03
Rank	#37	Overall
	#4	Search engines

Score	3.05
Rank	#97	Overall
	#17	Document stores
	#16	Key-value stores
	#50	Relational DBMS

Website

www.progress.com/openedge

openmldb.ai

github.com/opensearch-project
opensearch.org

www.oracle.com/database/nosql/technologies/nosql

Technical documentation

documentation.progress.com/output/ua/OpenEdge_latest

openmldb.ai/docs/zh/main

opensearch.org/docs/latest

docs.oracle.com/en/database/other-databases/nosql-database/index.html

Developer

Progress Software Corporation

4 Paradigm Inc.

Amazon Web Services

Oracle

Initial release

1984

2020

2021

2011

Current release

OpenEdge 12.2, March 2020

2024-2 February 2024

2.5.0, January 2023

24.1, May 2024

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

Proprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

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Implementation language

C++, Java, Scala

Java

Server operating systems

AIX
HP-UX
Linux
Solaris
Windows

Linux

All OS with a Java VM

Linux
Solaris SPARC/x86

Data scheme

yes

Fixed schema

schema-free

Flexible type definitions. Once a type is defined, it is persistent

Support Fixed schema and Schema-less deployment with the ability to interoperate between them.

Typing

predefined data types such as float or date

yes

optional

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

All search fields are automatically indexed

yes

SQL

Support of SQL

yes

close to SQL 92

yes

SQL-like query language

SQL-like DML and DDL statements

APIs and other access methods

JDBC
ODBC

JDBC
SQLAlchemy

Java API
RESTful HTTP/JSON API

RESTful HTTP API

Supported programming languages

Progress proprietary ABL (Advanced Business Language)

C++
Go
Java
Python
Scala

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

C
C#
Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

since Version 11.4

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

Electable source-replica replication per shard. Support distributed global deployment with Multi-region table feature

MapReduce

Offers an API for user-defined Map/Reduce methods

with Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Eventual Consistency
Immediate Consistency

depending on configuration

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

ACID within a storage node (=shard)

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

off heap cache

User concepts

Access control

Users and groups

fine grained access rights according to SQL-standard

Access rights for users and roles

More information provided by the system vendor

Specific characteristics

OpenSearch is a highly scalable and extensible open-source software suite for search,...
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Competitive advantages

Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
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Typical application scenarios

The OpenSearch platform is used across a broad range of search , analytics, and observability...
» more

Licensing and pricing models

The OpenSearch Project offers open source software licensed under Apache License...
» more

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