DBMS > Dolt vs. DuckDB vs. Riak KV

System Properties Comparison Dolt vs. DuckDB vs. Riak KV

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

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

An embeddable, in-process, column-oriented SQL OLAP RDBMS

Distributed, fault tolerant key-value store

Primary database model

Relational DBMS

Key-value store

with links between data sets and object tags for the creation of secondary indexes

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	7.44
Rank	#44	Overall
	#27	Relational DBMS

Score	3.21
Rank	#82	Overall
	#11	Key-value stores

Website

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

duckdb.org

Technical documentation

docs.dolthub.com

duckdb.org/docs

www.tiot.jp/riak-docs/riak/kv/latest

Developer

DoltHub Inc

OpenSource, formerly Basho Technologies

Initial release

2018

2009

Current release

1.0.0, June 2024

3.2.0, December 2022

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

MIT License

Open Source

Apache version 2, commercial enterprise edition

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++

Erlang

Server operating systems

Linux
macOS
Windows

server-less

Linux
OS X

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

restricted

SQL

Support of SQL

yes

APIs and other access methods

CLI Client
HTTP REST

Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC

HTTP API
Native Erlang Interface

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

C
C#

3rd party driver
C++
Crystal

3rd party driver
Go

3rd party driver
Java
Lisp

3rd party driver
Python
R
Ruby

3rd party driver
Rust
Swift
Zig

3rd party driver

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

Server-side scripts

Stored procedures

yes

currently in alpha release

Erlang

Triggers

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

no "single point of failure"

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

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

links between data sets can be stored

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

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

User concepts

Access control

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

yes, using Riak Security

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

DB-Engines shares Q1 2025 database industry rankings and top climbers: Snowflake and PostgreSQL trending
1 May 2025, DB-Engines

show all

Recent citations in the news

An open-source data storage and visualization platform for collaborative qubit control
30 September 2024, Nature

Top 100+ Essential Data Science Tools & Repos: Streamline Your Workflow Today!
17 October 2024, Packt

7 Modern SQL Databases You Must Know in 2024
28 June 2024, KDnuggets

Git-for-Data, Version-Controlled Database Dolt Gets PostgreSQL-Flavor
25 November 2023, infoq.com

Radar Trends to Watch: July 2022
5 July 2022, O'Reilly Media

provided by Google News

Hands-On Exploratory Data Analysis with DuckDB
13 May 2025, Packt

Streamlining access to tabular datasets stored in Amazon S3 Tables with DuckDB | Amazon Web Services
18 March 2025, Amazon Web Services (AWS)

Abusing DuckDB-WASM To Create Doom In SQL
23 April 2025, Hackaday

DuckDB project releases Local web UI, but not as open source
19 March 2025, devclass

Analyzing JSON Data with DuckDB and SQL
1 May 2025, KDnuggets

provided by Google News

Basho Revamps Riak Open-Source Database
17 September 2014, Information Week

A Critique of Resizable Hash Tables: Riak Core & Random Slicing
26 August 2018, infoq.com

NoSQL pioneer Basho stamps its mark on time stamp data with Riak TS
6 October 2015, theregister.com

Enterprise NoSQL Database for the IoT Becomes Open Source
12 May 2016, Engineering.com

Overview of Riak, Redis and Voldermort features
2 April 2021, ResearchGate

provided by Google News

Share this page