In this episode of the Designing Enterprise Platforms podcast from Early Adopter Research (EAR), EAR’s Dan Woods speaks with Monte Zweben, the CEO and cofounder of Splice Machine. Like Woods, Zweben has been an observer of the Hadoop ecosystem for quite some time. Splice Machine is a distributed SQL database but it’s also a database that is able to handle transactional workloads and analytical workloads at scale at the same time. Given that many of those analytic workloads were handled on Hadoop, their conversation centers on the recent happenings with Hadoop. 

Their conversation covered:

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-The history of Hadoop and the problems it faces

-Why schema on read was a major problem for Hadoop

-What is needed for a true big data architecture

-Why scale out architectures are cheaper than scale up

EAR Podcast with CTO Dan Seltzer

Designing Enterprise Platforms: Hosted by Dan Woods, analyst at Early Adopter Research and contributor to leading tech publications, this podcast focuses how to create product-based platforms that can have a transformational impact. The goal is to understand how to combine and integrate products rather than build from scratch. All aspects of platform building are covered from technology, to change management, to integration strategies.