Data storage for analytics

I have to store some amount of data for analytical purposes. - The data source produces 2TB data per month. - Data is collected on a monthly basis (not real-time). - Data is fully structured. - There are 100+ different columns of data. - Availability of SQL is important. - Engineer/developer resources are limited. I planned to use Postgres (probably with column-oriented extension), however, it would not be feasible for such data amounts (more than 20TB per year). I also made a research on Hadoop/Spark, however, it looks like a bit massive solution (considering, that the data is fully structured). I don't consider cloud-based solutions, as well as expensive ones (preferably, free-licence) . Would you be so kind to suggest, which data storage to use for big amounts of structured data for analytical purposes?