ASEAN's Premier News and Eco System Portal for Big Data, IoT and AI

Home > Big news > News > Data Has Outpaced Our Ability To Analyse It Says Magic Quadrant Study
Data Has Outpaced Our Ability To Analyse It Says Magic Quadrant Study


The Gartner Magic Quadrant for Data Integration Tools, 2017 edition, takes an in-depth look at transformational technologies and other approaches that data and analytics leaders are on the lookout for. From ‘Data acquisition for business intelligence (BI), analytics and data warehousing’ to ‘Sourcing and delivery of application and master data in support of application data management and master data management (MDM)’, ‘Interenterprise data sharing’, ‘Populating and managing data in a data lake’, ‘Data migration’ or ‘Data consistency between operational applications’, the integration scenarios are carefully taken apart and pieced together to present a comprehensive look at how robust, consistent delivery of highly developed practices are being made available today.

It further goes on to show how these tools and technologies need to operate on multiple levels of functionality that are required in order to execute functions related to data integration and be applied to the scenarios mentioned. Here are the vendors that have made it into this year’s Magic Quadrant:

The vendors of these tools have been dissected to describe each one’s strengths and cautions. In terms of strengths areas such as market presence, core competency within an enterprise service bus (ESB), strength and stability of targeted functionality, user experience of specific integration styles, keeping a strong roadmap for integration use cases and pricing issues, to name a few, are looked into carefully and given due diligence.

While areas of caution where vendors are falling short include the need for better documentation, training, customer support, isolation of data virtualization that could limit other data integration styles, lack of skilled resources and failed knowledge transfer or the inability in supporting big data initiatives, to name a few.

No one vendor passes with flying colours and each vendor may or may not have the same strengths and weaknesses, therefore a careful study of each will give the reader a sound understanding of each one’s capabilities. And as the industry gets more competitive, as can be seen on this year’s MQ results, where no company was dropped from the list, but one added (Pentaho), we can surmise that weaknesses that the vendors may display today, need to be addressed quickly or the repercussions would be devastating.

According to the report, capturing data has outpaced the ability to analyse it and all within the past 18 months. They challenge the tech businesses to step up and match the pendulum swing that has been shifted to favour the data of recent. In the same vein, we believe that the market will get much more competitive in addressing that lack. To quote a phrase from the report. “We have to get smarter”

Click here for the full Gartner report.