Cloud data lake engines aspire to deliver performance and efficiency breakthroughs that make the data lake a viable new home for many mainstream BI workloads. This guide describes how to evaluate cloud data lake engine offerings based on their ability to deliver on their promise of improving performance, data accessibility, and operational efficiency as compared with earlier methods of querying the data lake.
Key takeaways from the guide include:
- Why you should use a cloud data lake engine
- The six primary criteria for evaluating the different open source and commercial cloud data lake engine options
- What workloads are suitable for cloud data lake engines
- How to get started with your evaluation