In recent months we have seen a slow down of Hadoop adoption over big data products on the cloud from providers like AWS, Azure and GCP. As per some arguments Hadoop is an automatic choice for data intensive platforms whereas cloud computing is better for compute intensive platforms. While there is a lot of merit in this argument one tends to think if the distinction is that clear.
Given the declining cloud storage cost the argument for using Hadoop for data intensive platforms may soon be a myth. Also, use cases for Lambda architecture (batch and streaming data) are on the rise. Cloud computing certainly has a delivery edge over Hadoop for this case. The ease, speed and durability of deploying a batch/streaming solution using cloud computing certainly surpasses one built using the Hadoop ecosystem.