DBMS > Dolt vs. Firebase Realtime Database vs. Kuzu

System Properties Comparison Dolt vs. Firebase Realtime Database vs. Kuzu

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Editorial information provided by DB-Engines

Name

Description

A MySQL compatible DBMS with Git-like versioning of data and schema

Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.

An embeddable property Graph DBMS built for query speed and scalability

Primary database model

Relational DBMS

Document store

Graph DBMS

Secondary database models

Document store

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

Score	0.60
Rank	#232	Overall
	#106	Relational DBMS

Score	13.43
Rank	#39	Overall
	#6	Document stores

Score	0.02
Rank	#370	Overall
	#38	Graph DBMS

Website

github.com/dolthub/dolt
www.dolthub.com

firebase.google.com/products/realtime-database

kuzudb.com

Technical documentation

docs.dolthub.com

firebase.google.com/docs/database

docs.kuzudb.com

Developer

DoltHub Inc

Google

acquired by Google 2014

Initial release

2018

2012

2022

Current release

0.4.2, May 2024

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Open Source

MIT license

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

Server operating systems

Linux
macOS
Windows

hosted

server-less

Data scheme

yes

schema-free

yes

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

yes

APIs and other access methods

CLI Client
HTTP REST

Android
iOS
JavaScript API
RESTful HTTP API

CLI Client
Cypher Query Language

Supported programming languages

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Java
JavaScript
Objective-C

C
C#
C++
Java
JavaScript
Python
Rust

Server-side scripts

Stored procedures

yes

currently in alpha release

limited functionality with using 'rules'

Triggers

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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.

User concepts

Access control

Only one user is configurable, and must be specified in the config file at startup

yes, based on authentication and database rules

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More resources

DB-Engines blog posts

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