SQL continues to be the most widely used language for big data analysis. It is no surprise that the SQL on Hadoop ecosystem is vibrant and robust, with many commercial and open source alternatives in the market. It is also an area of active innovation with different tools optimized for varying use cases. In this session we will look into SQL alternatives in HDP spanning Hive, Spark-SQL and Apache Phoenix. We will analyze key strengths and weaknesses of each option and provide guidance on the optimal usage of each tool.