DBMS > DuckDB vs. Manticore Search vs. Riak KV

System Properties Comparison DuckDB vs. Manticore Search vs. Riak KV

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Editorial information provided by DB-Engines

Name

Description

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

Multi-storage database for search, including full-text search.

Distributed, fault tolerant key-value store

Primary database model

Relational DBMS

Search engine

Key-value store

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

Secondary database models

Time Series DBMS

using the Manticore Columnar Library

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

Score	7.44
Rank	#44	Overall
	#27	Relational DBMS

Score	0.28
Rank	#283	Overall
	#21	Search engines

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

Website

duckdb.org

manticoresearch.com

Technical documentation

duckdb.org/docs

manual.manticoresearch.com

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

Developer

Manticore Software

OpenSource, formerly Basho Technologies

Initial release

2018

2017

2009

Current release

1.0.0, June 2024

6.0, February 2023

3.2.0, December 2022

License

Commercial or Open Source

Open Source

MIT License

Open Source

GPL version 2

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

server-less

FreeBSD
Linux
macOS
Windows

Linux
OS X

Data scheme

yes

Fixed schema

schema-free

Typing

predefined data types such as float or date

yes

Int, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean

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.

Can index from XML

Secondary indexes

yes

full-text index on all search fields

restricted

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC

Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL

HTTP API
Native Erlang Interface

Supported programming languages

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

Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python

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

user defined functions

Erlang

Triggers

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Partitioning is done manually, search queries against distributed index is supported

Sharding

no "single point of failure"

Replication methods

Methods for redundantly storing data on multiple nodes

none

Synchronous replication based on Galera library

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

links between data sets can be stored

Transaction concepts

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

ACID

yes

isolated transactions for atomic changes and binary logging for safe writes

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

The original contents of fields are not stored in the Manticore index.

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

yes, using Riak Security

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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

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Recent citations in the news

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

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

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

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

provided by Google News

Manticore is on search for new investment and partners
9 December 2024, Blocks and Files

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2 May 2023, HackerNoon

Clickhouse vs Elasticsearch vs Manticore Search Query Times With a 1.7B NYC Taxi Rides Benchmark
1 June 2022, HackerNoon

Integrating Manticore Search with Apache Superset
8 August 2023, HackerNoon

Optimizing Elastic Search for High-Load Applications
18 August 2023, HackerNoon

provided by Google News

Basho Revamps Riak Open-Source Database
17 September 2014, InformationWeek

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

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

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

Basho distributes Riak to more customers
28 November 2013, Data Center Dynamics

provided by Google News

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