We evaluated IBM, Oracle, and EMC solutions.

When I was a digital transformation consultant for my prior employer, I downloaded and read the reviews.

It involved learning about workflow automation tools as well as process automation. I looked at a number of these platforms as part of that, but I have never actually used them.

Yes. Oracle Exadata and Teradata.

Some competitors include Kibana from Elasticsearch, Splunk, and Cloudera. Each of them has some advantages and disadvantages, but Hadoop is more flexible when working in a big data environment. Compared to Splunk and Cloudera, Apache Hadoop is platform-independent and works on any platform. It is also open-source.

We solely looked at Hadoop.

There was an evaluation, but it was a decision to implement with Data Lake and Hortonworks data platform.

None, as this stack is familiar to us and we were sure it could be used for such engagements without much hassle. Our primary criteria were the ability to migrate our existing RDBMS-based PoC and connectivity via our ETL and visualization tool. On top of that, support for semi-structured data for ELT. All three of these criteria were a fit with this stack.

Cloud options.