I work for a Global financial institution. Our BAs, Operations and Senior Management use multiple reporting/Visualization tools to analyze/present their data. The underlying data resides in predominantly in Oracle or Hive. We use multiple vendor ETL tools like DataStage, Informatica to process these data before reporting (Different applications use different ETL/reporting tool). Control-M kind of scheduler is used execute the ETL pipelines/batch flow. Most of our applications process huge data in their nightly batches.
Please confirm if DataIKU DSS can be considered as a replacement ETL solution for few of our applications (Reporting is not a requirement).
Indeed, we have customers that use Dataiku DSS for their ETL work. You should be able to find out more on our website (in the product > data preparation section for example, or in white papers).
Indeed, Dataiku DSS has a very strong value proposition when it comes to building and orchestrating ETL / Data Preparation workflows, especially in hybrid environments (hadoop, SQL, cloud & on prem data...).
Of course, our key differentiators with existing ETL vendors will be:
Here's an example of a client story around building ETL pipelines in DSS - https://www.dataiku.com/stories/betclic-putting-data-science-at-the-center-of-online-gambling/
Hope this helps