You can install Platfora using plain Apache Hadoop by selecting Hortonworks' HDP distribution - the core of the HDP distribution is plain Apache Hadoop. (I work at Platfora. We support many different Hadoop distros, but a lot of our development is actually done using plain Apache Hadoop).
Platfora uses your Hadoop cluster not only for input data, but by generating native MapReduce and Apache Spark jobs to process raw, high volume, structured or semi-structured input data (JSON, XML, Log files, CSV, Avro, data from Hive, output of other processing pipelines and libraries, you name it). This scales well, but having higher latency frameworks like MapReduce or Spark in your workflow for every change in your analysis questions gives you long turnaround times - bad for productivity. That's why Platfora accesses these intermediate results with a distributed, scale-out in-memory query engine that backs a low-latency visual discovery front-end. This kind of end-to-end approach makes it really easy to visualize and understand patterns across PBs of data with an interactive (sub-second) visual experience -- similar to Tableau but native to Hadoop and the scale and complexity of modern multi-structured data.