As compared to Hive on MapReduce, Impala on MPP returns results of SQL queries in a fairly short amount of time, and is relatively fast when reading data into other platforms like R.
Apache Hadoop offers scalability and elasticity, enabling seamless expansion for projects. Its capacity to ingest large unstructured and semi-structured data supports quick analytics integration. Cost-effective due to its open-source nature, it handles vast data volumes with efficiency. Despite its advantages, Apache Hadoop faces challenges like insufficient memory handling, steep learning curve, complex integration, and lacking security measures, requiring improvements in its upgrade path and querying processes.
