DBMS > Apache Pinot vs. DuckDB vs. Snowflake

System Properties Comparison Apache Pinot vs. DuckDB vs. Snowflake

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Editorial information provided by DB-Engines

Name

Description

Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency

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

Cloud-based data warehousing service for structured and semi-structured data

Primary database model

Relational DBMS

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

Score	0.73
Rank	#259	Overall
	#119	Relational DBMS

Score	3.40
Rank	#103	Overall
	#51	Relational DBMS

Score	120.89
Rank	#11	Overall
	#8	Relational DBMS

Website

pinot.apache.org

duckdb.org

www.snowflake.com

Technical documentation

docs.pinot.apache.org

duckdb.org/docs

docs.snowflake.net/manuals/index.html

Developer

Apache Software Foundation and contributors

Snowflake Computing Inc.

Initial release

2015

2018

2014

Current release

0.11.0, September 2022

0.2, August 2020

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

MIT License

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Server operating systems

All OS with a Java JDK11 or higher

server-less

hosted

Data scheme

yes

support of semi-structured data formats (JSON, XML, Avro)

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

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

JDBC

CLI Client
JDBC

CLI Client
JDBC
ODBC

Supported programming languages

Go
Java
Python

C
C++
Go

3rd party driver
Java
Python
R
Ruby

3rd party driver

JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined functions

Triggers

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

yes

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

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

User concepts

Access control

Users with fine-grained authorization concept, user roles and pluggable authentication

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