QueryStream VS Apache Drill

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

QueryStream

Build JPA Criteria queries using a Stream-like API (by querystream)

Apache Drill

Apache Drill is a distributed MPP query layer for self describing data (by apache)
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QueryStream Apache Drill
- 9
15 1,894
- 0.9%
6.4 8.1
6 months ago 9 days ago
HTML 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.

QueryStream

Posts with mentions or reviews of QueryStream. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning QueryStream yet.
Tracking mentions began in Dec 2020.

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 QueryStream and Apache Drill you can also consider the following projects:

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

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

Apache Calcite - Apache Calcite

AranoDB - The official ArangoDB Java driver.

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

jasync-sql - Java & Kotlin Async DataBase Driver for MySQL and PostgreSQL written in Kotlin

Leaf - Distributed ID Generate Service

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