Apache Drill’s SQL syntax offers several advantages over HiveQL and Pig Latin. Firstly, it provides ANSI SQL support, enabling users familiar with traditional relational databases to easily transition. Secondly, Drill supports schema-less data querying, allowing exploration of semi-structured data like JSON or Parquet without predefined schemas. Thirdly, Drill boasts a faster query execution due to its distributed processing architecture and in-memory caching.
However, there are disadvantages as well. Apache Drill lacks the extensive ecosystem that Hive enjoys, resulting in fewer integrations and tools available for use. Additionally, Drill may not be suitable for complex ETL processes, where Pig Latin excels due to its procedural nature. Lastly, while Drill is designed for low-latency queries, it might underperform compared to Hive on large-scale batch processing tasks.
