Looking at the data lake vs data warehouse, the right solution is determined by your data's use. A lake is typically used to store more of these raw and diverse sources of information in one place, whereas a warehouse is intended for structured data and reliable reporting. They can be used in tandem in a business, or the same tool could be utilized for many different purposes. Prior to selecting, take into account data volume, reporting needs, control and growth. When the architecture appears complex, a data consulting company like Datalance can assist in looking at the possibilities as per the actual business requirements.