DBMS > Apache Hive vs. Trino vs. YTsaurus

System Properties Comparison Apache Hive vs. Trino vs. YTsaurus

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Editorial information provided by DB-Engines

Name

Description

data warehouse software for querying and managing large distributed datasets, built on Hadoop

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

YTsaurus is an open source platform for distributed storage and processing.

Primary database model

Relational DBMS

Document store
Key-value store

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	75.77
Rank	#16	Overall
	#11	Relational DBMS

Score	5.34
Rank	#60	Overall
	#34	Relational DBMS

Score	0.22
Rank	#306	Overall
	#45	Document stores
	#45	Key-value stores

Website

hive.apache.org

trino.io

ytsaurus.tech

Technical documentation

cwiki.apache.org/confluence/display/Hive/Home

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

ytsaurus.tech/docs/en

Developer

Apache Software Foundation

initially developed by Facebook

Trino Software Foundation

Yandex

Initial release

2012

2020 rebranded from PrestoSQL

2023

Current release

3.1.3, April 2022

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

Apache Version 2.0

Open Source

Apache License, 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++

Server operating systems

All OS with a Java VM

Linux
macOS

for devlopment

Ubuntu

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

yes

depending on connected data-source

SQL

Support of SQL

SQL-like DML and DDL statements

yes

YQL, an SQL-based language, is supported

APIs and other access methods

JDBC
ODBC
Thrift

JDBC
RESTful HTTP API
Trino CLI

Supported programming languages

C++
Java
PHP
Python

Go
Java
JavaScript (Node.js)
Python
R
Ruby

C++
Go
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

yes, depending on connected data-source

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

depending on connected data-source

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

depending on connected data-source

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

depending on connected data-source

Foreign keys

Referential integrity

Transaction concepts

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

depending on connected data-source

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

depending on connected data-source

yes

User concepts

Access control

Access rights for users, groups and roles

SQL standard access control

Access Control Lists

More information provided by the system vendor

News

73: Wrapping Trino packages with a bow
9 April 2025

Core Principles and Design Practices of OLAP Engines
27 March 2025

72: Keeping the lake clean
17 March 2025

Twenty four
3 March 2025

71: Fake it real good
27 February 2025

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