DBMS > Apache Pinot vs. Kuzu vs. Trino

System Properties Comparison Apache Pinot vs. Kuzu vs. Trino

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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 property Graph DBMS built for query speed and scalability

Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL

Primary database model

Relational DBMS

Graph DBMS

Relational DBMS

Secondary database models

Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store

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

Score	0.39
Rank	#262	Overall
	#121	Relational DBMS

Score	0.07
Rank	#350	Overall
	#37	Graph DBMS

Score	5.13
Rank	#62	Overall
	#35	Relational DBMS

Website

pinot.apache.org

kuzudb.com

trino.io

Technical documentation

docs.pinot.apache.org

docs.kuzudb.com

trino.io/broadcast
trino.io/docs/current

Developer

Apache Software Foundation and contributors

Trino Software Foundation

Initial release

2015

2022

2012

2020 rebranded from PrestoSQL

Current release

1.0.0, September 2023

0.4.2, May 2024

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

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Implementation language

Java

C++

Java

Server operating systems

All OS with a Java JDK11 or higher

server-less

Linux
macOS

for devlopment

Data scheme

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

depending on connected data-source

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

JDBC

CLI Client
Cypher Query Language

JDBC
RESTful HTTP API
Trino CLI

Supported programming languages

Go
Java
Python

C
C#
C++
Java
JavaScript
Python
Rust

Go
Java
JavaScript (Node.js)
Python
R
Ruby

Server-side scripts

Stored procedures

yes, depending on connected data-source

Triggers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

depending on connected data-source

Replication methods

Methods for redundantly storing data on multiple nodes

none

depending on connected data-source

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

depending on connected data-source

Foreign keys

Referential integrity

Transaction concepts

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

ACID

depending on connected data-source

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

depending on connected data-source

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

SQL standard access control

More information provided by the system vendor

News

Twenty four
3 March 2025

71: Fake it real good
27 February 2025

70: Previewing a new UI
13 February 2025

Out with the old file system
10 February 2025

69: Client protocol improvements
30 January 2025

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