Bloor Research identifies what makes a Modern Data Warehouse champion

When speaking with customers, I often hear that they are committed to digital transformation and being a data-driven enterprise. Those may just seem like abstract, lofty words to aspire to but the reality is much more practical. We have major banks needing to ensure that they have a complete view of their customers, and can reduce churn through personalized service and offerings. Telecommunications giants that absolutely need to maintain network health so there are no dropped calls or missed messages. A better understanding of all the data related to patients, aggregated over time, can help healthcare develop better treatment methods and faster cures. Manufacturing companies are heavily invested in IoT capabilities to make sure they can optimize their product assemblies without unplanned downtime. Everyone is worried about security and fraud prevention, not just detection. Detecting fraud and breaches are fine, but if we can prevent them from happening before they do? That is even better!

In a recent “MarketUpdate” report published by Bloor Research, they looked at options for analytics databases and data warehouses. Philip Howard, research director, information management, focuses this report, not on the “old guard” of long-established vendors with deep entrenchments into data centers, rather he focuses on the alternatives that can offer an escape from the price and performance struggles those solutions may have.

While those vendors may remain champions in data warehousing, data mart, and data lake use cases for years to come, when you’re looking for deployment flexibility and cloud support, there really are some excellent alternatives you should be looking at. When you have new technology trends like hybrid cloud, and the separation of compute and storage, those older, monolithic-type data warehouse systems cannot adapt and help you take advantage of the performance and flexibility offered.  Couple this with the growing demand for cloud-based object storage, Internet of Things (IoT) support, enriching structured data with unstructured such as social media content for customer sentiment analysis, and you will find more and more reasons to need a new, modern analytics infrastructure, one that also continues to scale while not sacrificing important enterprise capabilities like high availability, security, and disaster recovery.

Thinking back to the customer conversations I mentioned before, data drives all of their business goals – like Digital Transformation and being a data-driven enterprise. A modern data warehouse is a key element to handling all the new types of data, from unstructured, semi-structured, and traditional structured forms, at unprecedented speed and scale.  All this data would be useless if we didn’t have the right way to access it – and that, today, means more than just some nice visualization tools. That means that we have the right scalable engines, SQL and others, acting on the same data at the same time, without crashing into each other. It also means making those resources available on-demand, whenever and however they are needed. This requires a hybrid and multi-cloud approach – we know that while the cloud offers the flexibility of resource allocation and isolation that is needed for modern workload management, we also know that a lot of data will continue to be sourced, processed, and stored on premise for many reasons.

I recommend you read Bloor’s Market Update and see where modern solutions are going. They highlight Champions, Innovators, and Challengers, to help you understand where customers are finding value. Some of the areas the Options for Analytic Databases and Warehouses report dives into are: 

  • The current state of the market and the latest market trends
  • Which vendors are being evaluated in the report and how they rank
  • The metrics used to compare the vendors and how they are defined
  • Bloor’s conclusion and take on the challenges in selecting between these market offerings

Read Options for Analytic Databases and Warehousing Update 2020 by Bloor Research

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David Dichmann
Director Product Marketing
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