DBMS > Drizzle vs. OpenEdge vs. RethinkDB vs. RisingWave vs. SwayDB

System Properties Comparison Drizzle vs. OpenEdge vs. RethinkDB vs. RisingWave vs. SwayDB

Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

Description

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

Application development environment with integrated database management system

DBMS for the Web with a mechanism to push updated query results to applications in realtime.

A distributed RDBMS for stream processing, wire-compatible with PostgreSQL

An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage

Primary database model

Secondary database models

Spatial DBMS

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

Score	3.69
Rank	#78	Overall
	#42	Relational DBMS

Score	2.58
Rank	#105	Overall
	#20	Document stores

Score	0.61
Rank	#237	Overall
	#111	Relational DBMS

Score	0.00
Rank	#384	Overall
	#60	Key-value stores

Website

www.progress.com/openedge

rethinkdb.com

www.risingwave.com/database

swaydb.simer.au

Technical documentation

documentation.progress.com/output/ua/OpenEdge_latest

rethinkdb.com/docs

docs.risingwave.com/docs/current/intro

Developer

Drizzle project, originally started by Brian Aker

Progress Software Corporation

The Linux Foundation

since July 2017

RisingWave Labs

Simer Plaha

Initial release

2008

1984

2009

2022

2018

Current release

7.2.4, September 2012

OpenEdge 12.2, March 2020

2.4.1, August 2020

1.2, September 2023

License

Commercial or Open Source

Open Source

GNU GPL

commercial

Open Source

Apache Version 2

Open Source

Apache Version 2.0

Open Source

GNU Affero GPL V3.0

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.

Implementation language

C++

Rust

Scala

Server operating systems

FreeBSD
Linux
OS X

AIX
HP-UX
Linux
Solaris
Windows

Linux
OS X
Windows

Docker
Linux
macOS

Data scheme

yes

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

string, binary, float, bool, date, geometry

Standard SQL-types and JSON

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

with proprietary extensions

yes

close to SQL 92

yes

APIs and other access methods

JDBC

JDBC
ODBC

JDBC
PostgreSQL wire protocol

Supported programming languages

C
C++
Java
PHP

Progress proprietary ABL (Advanced Business Language)

community-supported driver
C#

community-supported driver
C++

community-supported driver
Clojure

community-supported driver
Dart

community-supported driver
Erlang

community-supported driver
Go

community-supported driver
Haskell

community-supported driver
Java

official driver
JavaScript (Node.js)

official driver
Lisp

community-supported driver
Lua

community-supported driver
Objective-C

community-supported driver
Perl

community-supported driver
PHP

community-supported driver
Python

official driver
Ruby

official driver
Scala

community-supported driver

Go
Java
JavaScript (Node.js)
Python

Java
Kotlin
Scala

Server-side scripts

Stored procedures

yes

UDFs in Python or Java

Triggers

hooks for callbacks inside the server can be used.

yes

Client-side triggers through changefeeds

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

since Version 11.4

Sharding

range based

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Source-replica replication

none

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

Atomic single-document operations

Atomic execution of operations

Concurrency

Support for concurrent manipulation of data

yes

MVCC based

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

Pluggable authentication mechanisms

e.g. LDAP, HTTP

Users and groups

yes

users and table-level permissions

Users and Roles

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More resources

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Recent citations in the news

What's New in OpenEdge 12.8
15 April 2024, release.nl

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1 November 2017, InfoWorld

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16 December 2015, SitePoint

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