DBMS > OpenQM vs. Realm vs. Redis

System Properties Comparison OpenQM vs. Realm vs. Redis

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Editorial information provided by DB-Engines

Name

Description

QpenQM is a high-performance, self-tuning, multi-value DBMS

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

In-memory data structure store, used as database, cache and message broker

Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.

Primary database model

Multivalue DBMS

Document store

Key-value store

Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence

Secondary database models

Document store

with Redis Modules
Graph DBMS

with Redis Modules
Search engine

with Redis Modules
Time Series DBMS

with Redis Modules

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

Score	0.40
Rank	#246	Overall
	#10	Multivalue DBMS

Score	9.15
Rank	#45	Overall
	#8	Document stores

Score	152.57
Rank	#7	Overall
	#1	Key-value stores

Website

www.openqm.com

realm.io

redis.io

Technical documentation

www.openqm.com/support/documentation

realm.io/docs

redis.io/documentation

Developer

Martin Phillips

Realm, acquired by MongoDB in May 2019

Salvatore Sanfilippo

Development sponsored by Redis Labs

Initial release

1993

2014

2009

Current release

3.4-12

6.0.10 , January 2021

License

Commercial or Open Source

Open Source

GPLv2, extended commercial license available

Open Source

BSD 3-Clause, commercial license available

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.

Redis Enterprise Cloud: Instantly scale and pay only for the resources you need - on any cloud - AWS, Azure or Google Cloud.
ScaleGrid for Redis: Fully managed hosting for Redis on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.

Implementation language

Server operating systems

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Android
Backend: server-less
iOS
Windows

BSD
Linux
OS X
Windows

ported and maintained by Microsoft Open Technologies, Inc.

Data scheme

yes

with some exceptions

yes

schema-free

Typing

predefined data types such as float or date

yes

partial

Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes

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

with RediSearch module

SQL

Support of SQL

APIs and other access methods

proprietary protocol

RESP - REdis Serialization Protocol

Supported programming languages

.Net
Basic
C
Java
Objective C
PHP
Python

.Net
Java

with Android only
Objective-C
React Native
Swift

C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic

Server-side scripts

Stored procedures

yes

runs within the applications so server-side scripts are unnecessary

Lua

Triggers

yes

Change Listeners

Partitioning methods

Methods for storing different data on different nodes

yes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Multi-source replication

with Redis Enterprise Pack
Source-replica replication

Chained replication is supported

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Strong eventual consistency with CRDTs

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Optimistic locking, atomic execution of commands blocks and scripts

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

Configurable mechanisms for persistency via snapshots and/or operations logs

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

In-Memory realm

yes

User concepts

Access control

Access rights can be defined down to the item level

yes

Simple password-based access control

Access control lists and SSL are available in the commercial version

More information provided by the system vendor

Specific characteristics

Now a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
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Redis, benchmarked as the world's fastest database, reduces application complexity,...
» more

Competitive advantages

Realm ensures offline-first functionality, meaning apps run smoothly and deliver...
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Redis is an in-memory database platform offering native support of wide range of...
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Typical application scenarios

Mobile Consumer Apps First-Line Worker Apps
» more

Redis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
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Key customers

Cathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more

Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» more

Market metrics

Used by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
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Licensing and pricing models

Realm database is licensed under the Apache License v2.0.
» more

The licensing model is subscription based. Redis Enterprise Cloud is priced according...
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.