DBMS > Apache Doris vs. DuckDB vs. OpenSearch

System Properties Comparison Apache Doris vs. DuckDB vs. OpenSearch

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Editorial information provided by DB-Engines

Name

Description

An MPP-based analytics DBMS embracing the MySQL protocol

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

A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene

Primary database model

Relational DBMS

Search engine

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

Score	0.68
Rank	#246	Overall
	#114	Relational DBMS

Score	2.14
Rank	#134	Overall
	#66	Relational DBMS

Score	11.12
Rank	#46	Overall
	#4	Search engines

Website

doris.apache.org
github.com/apache/doris

duckdb.org

github.com/opensearch-project
opensearch.org

Technical documentation

github.com/apache/doris/wiki

duckdb.org/docs

opensearch.org/docs/latest

Developer

Apache Software Foundation, originally contributed from Baidu

Amazon Web Services

Initial release

2017

2018

2021

Current release

1.2.2, February 2023

0.2, August 2020

2.5.0, January 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

MIT License

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.

Aiven for OpenSearch: Fully managed open source search and analytics suite including search engine, NoSQL document database, and visualization interface.

Implementation language

Java

C++

Java

Server operating systems

Linux

server-less

All OS with a Java VM

Data scheme

yes

schema-free

Flexible type definitions. Once a type is defined, it is persistent

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

All search fields are automatically indexed

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

JDBC
MySQL client

CLI Client
JDBC

Java API
RESTful HTTP/JSON API

Supported programming languages

Java

C
C++
Go

3rd party driver
Java
Python
R
Ruby

3rd party driver

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Foreign keys

Referential integrity

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

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

OpenSearch is a highly scalable and extensible open-source software suite for search,...
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Competitive advantages

Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
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Typical application scenarios

OpenSearch is used across a broad range of search, analytics, and observability applications....
» more

Licensing and pricing models

The OpenSearch Project offers open source software licensed under Apache License...
» more

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