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Forrester Wave™: Big Data Fabric Q4 2016

Denodo is a “Strong Performer” in Big Data Fabric Offerings and Strategy

See The Forrester Wave™: Big Data Fabric, Q4 2016 Report.

The accessibility of vast amounts of multi-structured data, coupled with competitive pressure to glean actionable insights from data in real time, is driving enterprises to seek “big data fabric” platforms to fuel their big data initiatives. The objective is to concentrate emerging big data technologies within a single platform to automate the many facets of data discovery, preparation, curation, orchestration and integration across a multitude of data sources.

At Denodo, we regard data virtualization as the best-fit big data fabric technology to answer the key big data challenges reported by enterprises:

  • Access to disparate data
  • Lack of relevant big data skillsets
  • Support for a variety of emerging use cases

Forrester Wave Big Data Fabric 2016

Download this report to understand:

  • Why enterprises are turning to big data fabric to drive their big data initiatives
  • The advantages big data fabric brings to enterprise architecture professionals
  • The current state of the big data fabric market and strengths of its key players
  • Why we feel Denodo is uniquely positioned in the big data fabric market

We firmly believe that by employing the Denodo Platform, organizations have easy access to the big data ecosystem without the need for dedicating time and resources to deciphering various multi-structured data formats. Denodo’s graphical user interface enables developers and users to model, unify and deliver the data to multiple consumers without having to learn complex languages. Several enterprises are already leveraging Denodo for big data fabric deployments, in various vertical industries, including virtual big data marts, big data analytics, real-time analytics, and IoT data processing.

According to Forrester, Denodo’s key strength is “delivering a unified and centralized data services fabric with security and real-time integration across multiple traditional and big data sources, including Hadoop, NoSQL, cloud, and software-as-a-service (SaaS).”