DATA LAKE VS. DATA HUB

A data lake and a data hub are vastly different at their core. Data lake is designed to store data as efficiently as possible and engineered with legacy technologies like DAS-based storage. The challenge of a data lake is that it creates data silos which inhibit the ability to combine the sets of data needed into a cohesive whole for analytics.

Data hub is a modern, data-centric architecture for storage – powering analytics and AI by enabling enterprises to consolidate and share data in today’s data-first world. Unlike data lake and legacy DAS architectures engineered primarily to store data, a data hub is designed to share and deliver data in real-time and in a multi-dimensional way.

WHY DATA LAKES ARE DYING?

Data lakes are dying because they were built on the obsolete premise that all unstructured data is meant to be stored. Some of it is stored in data warehouses, some is lost in data lakes. The unification of data is broken, and the velocity of data crippled. So why is it so hard for legacy storage systems to unify data on a single platform? The problem is that each application has different requirements for its data – thus the proliferation of data silos. It’s time to rethink storage.

Data is the fuel for the modern enterprise. Yet most data is stored in silos, out of reach of analytics and AI applications.  Modern intelligence requires an architecture designed not only to store data, but to share and deliver data.

Data Lake and Data Hub Comparison

A new Architecture to Unify and Share data

We believe so strongly that a data hub is what the storage industry needs to lay the foundation for a modern architecture, that we wrote an open letter to the industry. A data hub takes the key strengths of each silo and integrates them into a single unified platform that includes four must-have qualities: high throughput file & object, native scale-out, multi-dimensional performance, and massively parallel architecture.

Pure’s FlashBlade is the industry’s first data hub. From software to hardware, everything is tuned to deliver on these four essential qualities of a data hub.

FlashBlade is:

  • Built from ground up to unify file and object
  • Natively architected to scale out
  • Engineered to deliver multidimensional performance for any data
  • Massively parallel from software to hardware

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