Trino VS Apache Drill

Compare Trino vs Apache Drill and see what are their differences.

Trino

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io) (by trinodb)

Apache Drill

Apache Drill is a distributed MPP query layer for self describing data (by apache)
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Trino Apache Drill
44 9
9,552 1,894
3.1% 1.6%
10.0 8.1
6 days ago 5 days ago
Java Java
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Trino

Posts with mentions or reviews of Trino. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-16.

Apache Drill

Posts with mentions or reviews of Apache Drill. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-30.

What are some alternatives?

When comparing Trino and Apache Drill you can also consider the following projects:

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

Apache Calcite - Apache Calcite

dremio-oss - Dremio - the missing link in modern data

Presto - The official home of the Presto distributed SQL query engine for big data

AranoDB - The official ArangoDB Java driver.

QueryStream - Build JPA Criteria queries using a Stream-like API

ClickHouse - ClickHouse® is a free analytics DBMS for big data

spring-data-jpa-mongodb-expressions - Use the MongoDB query language to query your relational database, typically from frontend.

roapi - Create full-fledged APIs for slowly moving datasets without writing a single line of code.