Back to Knowledge Base

White paper

Multi-cloud for data analytics

Virtually every organization now has at least part of its computing system in some sort of cloud. And in a more competitive cloud landscape, businesses are no longer signing up for one cloud provider alone but turning towards alternative providers to leverage a ‘best-in-breed’ solution that will better meet their IT strategy and requirements.

The shift to the cloud offers not just transformational flexibility in resources; it also gives organizations the opportunity to take control of their enterprise architecture and data, helping define a strategy according to business needs. As such, today the question for many organizations is no longer “shall we move to the cloud?” but “shall we go multi-cloud?”.

Download the white paper to discover multi-cloud approaches and how Snowplow BDP can support you in gaining the strongest business advantage.

By submitting this form, I understand Snowplow will process my personal information in accordance with their Privacy Policy.

‎ 

Learn how to take advantage of multi-cloud for your data analytics stack

In this white paper, we’ll look at different approaches to multi-cloud, the major benefits and drawbacks, and how Snowplow BDP can help businesses take full advantage of multi-cloud strategies.

Download the whitepaper to discover:

Why so many data teams are considering multi-cloud

BigQuery vs Redshift, and the advantages of using both

Technical considerations when deploying multi-cloud

“Most organizations adopt a multi-cloud strategy out of a desire to avoid vendor lock-in or to take advantage of best-in-breed solutions. We expect that most large organizations will continue to willfully pursue this approach.”

Michael Warrilow | VP Analyst, Gartner