Apache Drill vs Presto

Developers should learn Apache Drill when they need to perform ad-hoc SQL queries on diverse, unstructured, or semi-structured data sources like JSON, Parquet, or HBase without pre-defining schemas meets developers should learn presto when they need to perform high-speed, interactive sql queries on massive, heterogeneous datasets, such as in data warehousing, log analysis, or real-time analytics. Here's our take.

Apache Drill

Nice Pick

Developers should learn Apache Drill when they need to perform ad-hoc SQL queries on diverse, unstructured, or semi-structured data sources like JSON, Parquet, or HBase without pre-defining schemas

Pros

• It's particularly useful in big data environments for data exploration, analytics, and integration tasks where flexibility and speed are critical, such as in data lakes or multi-source data analysis scenarios
• Related to: apache-hadoop, sql

Cons

• Specific tradeoffs depend on your use case

Presto

Developers should learn Presto when they need to perform high-speed, interactive SQL queries on massive, heterogeneous datasets, such as in data warehousing, log analysis, or real-time analytics

Pros

• It is particularly valuable in environments with data stored in multiple systems (e
• Related to: sql, hadoop

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Apache Drill is a tool while Presto is a database. We picked Apache Drill based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Apache Drill wins

Based on overall popularity. Apache Drill is more widely used, but Presto excels in its own space.