DBMS > atoti vs. Badger vs. FileMaker vs. Realm vs. Tkrzw

System Properties Comparison atoti vs. Badger vs. FileMaker vs. Realm vs. Tkrzw

Editorial information provided by DB-Engines

Name

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.

FileMaker is a cross-platform RDBMS that includes a GUI frontend.

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

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

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

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	0.14
Rank	#331	Overall
	#49	Key-value stores

Score	48.20
Rank	#20	Overall
	#14	Relational DBMS

Score	7.60
Rank	#52	Overall
	#9	Document stores

Score	0.00
Rank	#383	Overall
	#60	Key-value stores

Website

atoti.io

github.com/dgraph-io/badger

www.claris.com/filemaker

realm.io

dbmx.net/tkrzw

Technical documentation

docs.atoti.io

godoc.org/github.com/dgraph-io/badger

www.claris.com/resources/documentation

realm.io/docs

Developer

ActiveViam

DGraph Labs

Claris

a subsidiary of Apple

Realm, acquired by MongoDB in May 2019

Mikio Hirabayashi

Initial release

2017

1983

2014

2020

Current release

19.4.1, November 2021

0.9.3, August 2020

License

Commercial or Open Source

commercial

free versions available

Open Source

Apache 2.0

commercial

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

Java

C++

Server operating systems

BSD
Linux
OS X
Solaris
Windows

iOS

client part only
Linux
OS X
Windows

Android
Backend: server-less
iOS
Windows

Linux
macOS

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

A http query request can return the data in XML format

Secondary indexes

yes

SQL

Support of SQL

Multidimensional Expressions (MDX)

yes

via plugins

APIs and other access methods

Filemaker WebDirect
JDBC
ODBC

Supported programming languages

PHP

.Net
Java

with Android only
Objective-C
React Native
Swift

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

Python

yes

runs within the applications so server-side scripts are unnecessary

Triggers

yes

Change Listeners

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication, warm standby

since Version 14

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

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

simple rights management via user accounts and connection to external directory services

yes

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