DBMS > Realm vs. SwayDB vs. Tkrzw

System Properties Comparison Realm vs. SwayDB vs. Tkrzw

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Editorial information provided by DB-Engines

Name

Description

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

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

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

Primary database model

Document store

Key-value store

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

Score	6.76
Rank	#51	Overall
	#9	Document stores

Score	0.00
Rank	#381	Overall
	#61	Key-value stores

Score	0.00
Rank	#382	Overall
	#62	Key-value stores

Website

realm.io

swaydb.simer.au

dbmx.net/tkrzw

Technical documentation

realm.io/docs

Developer

Realm, acquired by MongoDB in May 2019

Simer Plaha

Mikio Hirabayashi

Initial release

2014

2018

2020

Current release

0.9.3, August 2020

License

Commercial or Open Source

Open Source

GNU Affero GPL V3.0

Open Source

Apache Version 2.0

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

Scala

C++

Server operating systems

Android
Backend: server-less
iOS
Windows

Linux
macOS

Data scheme

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.

Secondary indexes

yes

SQL

Support of SQL

Supported programming languages

.Net
Java

with Android only
Objective-C
React Native
Swift

Java
Kotlin
Scala

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

runs within the applications so server-side scripts are unnecessary

Triggers

yes

Change Listeners

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Atomic execution of operations

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

In-Memory realm

yes

using specific database classes

User concepts

Access control

yes

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More resources

DB-Engines blog posts

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