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June 21, 2017
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Forrester Lists Hortonworks as a Leader in Big Data Warehousing

Hortonworks delivers a viable open source Big Data Warehouse platform

The Enterprise Data Warehouse (EDW) has had a great run for the past several decades. But as is the norm in technology, newcomers are ready to stake their claim in this business critical environment, as illustrated in Forrester’s newly released The Forrester Wave™: Big Data Warehouse, Q2 2017 report.

Hortonworks delivers a viable open source Big Data Warehouse platform

Forrester reports that the Big Data Warehouse (BDW) is a modern architecture that combines both of the best worlds — leveraging existing data warehouses and new big data technologies that enable organizations to support their growing analytical requirements.  Forrester also said that Hortonworks delivers actionable intelligence from all kinds of data-in-motion and data-at-rest, and that the vendor provides a cost-effective, nimble, and scalable architecture to implement big data warehouses, whether on-premises or in the cloud.

The Hadoop ecosystem of technologies has evolved to provide better SQL support and performance (Apache Hive with LLAP) as well as improved governance and security. The end result is that Hadoop and many of the big data technologies have become a viable platform for EDW initiatives. We believe this newly published research from Forrester validates the momentum in the market with Hortonworks as a leader in the category of the Big Data Warehouse, Q2 2017.

What sets the big data warehouse apart from traditional EDW?

The traditional EDW was mainly aimed at supporting the analytical requirements for the records of the business – financials, customer interactions, goods ordered from suppliers, products returned from customers etc. What it has not been great at is supporting emerging use cases around IoT, streaming data, real time data; massive volumes of messy unstructured or semi-structured data.

Enter the modern architecture of the Big Data Warehouse. From the research, Forrester indicates that the “Lack of business competency to deal with data that is messy, diverse, and large” tops the list of customer challenges in executing their vision for big data.

It is not an All or Nothing decision

How to move forward then? The answer is clearly not a replacement strategy. The EDW has many miles left in the tank and creating a data architecture that leverages the best of all worlds is be the best path forward. Organizations need to build towards a connected data architecture where all your data at rest) as well as your data in motion create a connected data architecture

Parting thoughts

When independent research firms like Forrester do their annual “wave” reports it is based on extensive consideration of numerous criteria they view as critical to the success of the domain. Hortonworks scored among the highest in the criteria of Deployment, Roadmap, Support, and Partners – an apt summary on our mission. We are committed to helping enterprises deploy our platforms and solutions for unique actionable insights that help them be first in their industries. Read the full report to understand specific use cases that are supported by the Big Data Warehouse.

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