Analysts and data scientists use SQL queries to pull data from the data storage underbelly of an enterprise. They mold the data, reshape it, and analyze it, so it can offer revenue-generating business insights to the company. But analytics is only as good as the material it works with. That is, if the underlying data is missing, compromised, incomplete, or wrong, so will the data analysis and inferences derived from it.

Informatica Power Center blends four data engineering products into one system, making it one of the most feature-rich but complicated ETL/ELT platforms on the market. With data management, app integration, API gateway, and iPaaS features, smaller teams that struggle to tame this all-encompassing tool might seek out an Informatica alternative instead.