- Presto and Trino Comparison - Medium
This article delves into the differences between Presto and Trino, their evolution, and how they cater to the needs of modern data-driven enterprises
- Why isn’t prestodb (trino) more popular? : r dataengineering - Reddit
Trino used to only be considered an adhoc query engine meaning they wouldn’t use it for long running or resource intensive queries (commonly classified as batch or ETL) This is due to the fact that Trino Presto fails fast and if you run out of memory, then the query will fail
- Presto vs Trino - softstrix. com
Confused between Presto vs Trino? Dive into a comparison of these distributed SQL query engines, exploring their performance and ecosystem
- PrestoDB vs PrestoSQL vs Trino - Starburst
Presto and Trino share similar features and the same core code However, ongoing development on Presto has been driven by Facebook, while development on Trino has been driven by companies like Starburst and AWS trying to serve a wide audience
- What’s the Difference Between Trino and PrestoDB? - Pandio
Read on to find out more about Trino and PrestoDB, what makes them unique, their differences, and discover which solution is better
- Trino vs. Presto vs. Spark SQL vs. DuckDB
The key distinction lies in their focus: Trino has evolved with a faster development cycle and a focus on enterprise-grade optimizations for more complex and modern workloads, while PrestoDB has historically focused on stability and lightweight analytics Here are the specific performance differences:
- Understanding Trino and Presto: Core Features Explained
Trino and Presto are distributed SQL engines excelling in big data analytics Compare their features, performance, and use cases for modern analytics
- ClickHouse vs StarRocks vs Presto vs Trino vs Apache Spark
Read about how Apache Spark, ClickHouse, StarRocks, Presto, and Trino stack up against each other in terms of scalability, concurrency, and more
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