Spark and Hadoop: In the Cloud or On-Premises?

Raymie Stata, CEO, Altiscale A well-run big data environment including Apache Hadoop and Apache Spark can generate valuable analytical insights that boost business performance by guiding business strategy and tactics. But what type of environment is best – an on-premise deployment or deployment in the cloud? If you are trying to decide whether to implement Hadoop and Spark in the cloud or on-premises, the following questions can help make the right choice much easier to identify. Do you want to deploy and manage infrastructure and software yourself? Companies that go the on-premise route for deployments of Spark on Hadoop end up spending an inordinate amount of time and money wrestling with infrastructure. In the initial deployment, companies spend lots of time – and often, lots of consulting dollars – selecting…


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