Abstract
For decades, datawarehouses functioned as fundamental repository of integrated data which facilitated informed decisions. In the recent past, the field of data management has witnessed a cataclysmic change with the arrival of big data. Big data has created a need to process high volume and variety of data coupled with the desire for faster access to data. Datalakes are widely employed to meet these requirements and touted as a one stop shop to fulfill all the data requirements of an organization. This assumption has questioned the role of the traditional datawarehouse. This paper describes the essential characteristics of datawarehouses and datalakes. It also compares and contrasts the two systems and concludes that the two are not competing but complementary technologies. Together they can effectively and proficiently serve the data management needs of an organization.
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