Large enterprises have traditionally stored data in data warehouse systems for reporting and analysis. These data warehouse systems store data in the order of hundreds of gigabytes, but they rarely match the scale of the storage and processing challenge Hadoop intended to take. Enterprises spend a considerable part of their budget in procuring and running ETL systems, data warehousing software and hardware required to run it. Commercial vendors of Hadoop see the opportunity to grab a share of the data warehousing spending, and increase their market share by catering to the storage and processing of big data.
Let's examine, in the next two sections, the factors which have led to the rise of Hadoop in enterprises.