Catch the Big Data Wave - Talend Named Leader in Forrester Wave™: Big Data Fabric, Q4 2016

I am proud to announce that for the second time this year, Talend has been recognized by a leading independent research firm as a Leader in Big Data. Today Forrester Research named Talend a “Leader” in its new vendor ranking report, The Forrester Wave™: Big Data Fabric, Q4 2016.”

Forrester describes Big Data Fabric as “a platform that helps [enterprise architects] discover, prepare, curate, orchestrate, and integrate data sources by leveraging big data technologies in an automated manner.” The analyst firm examined past research, user requirements, and vendor interviews to develop a comprehensive set of 26 criteria to evaluate the 11 top commercial big data fabric vendors, and to help EA pros better understand all available offerings and select the right solution for their organization.

The Forrester Wave: Big Data Fabric report positions Talend as a Leader with the highest possible score in the Data Management criterion, which includes metadata, data lineage, data quality, data governance, and data security sub criteria. Talend also earned the highest possible score in each of the following sub criteria: data connectivity, data transformation, self-service, and collaboration.

In the March 2016 report entitled Big Data Fabric Drives Innovation and Growth, Forrester defines Big Data Fabric as: “Bringing together disparate big data sources automatically, intelligently, and securely, and processing them in a big data platform technology, such as Hadoop and Apache Spark, to deliver a unified, trusted, and comprehensive view of customer and business data.”

All the basic concepts are there, i.e. you need to connect and move data, and transform and manage data. But connect, move, transform, and manage have new meaning when you go from gigabytes to petabytes, batch to real-time, on-premises to cloud, a few data sources to hundreds, and IT-service to self-service.

The report highlights that “Enterprises of all types and sizes are embracing big data, but the gap between business expectations and the challenges of supporting big data technology (such as Hadoop) has become the primary motivation to innovate with big data fabric.”  We see time and again how having a comprehensive big data platform can save a big data project.  Big data platforms, such as our Talend Data Fabric, turns corporate data “swamps” into qualified pools of information for use by any employee.

Big data and cloud integration technologies have transformed the market and the way companies approach their businesses. And companies across every industry worldwide are discovering how cloud and big data technologies can help them reinvent product and service delivery. In fact, just last week at our annual user conference in Paris—Talend Connect—we recognized the 19 winners of our Talend Data Masters Awards—a program designed to recognize the unique and innovative ways our customers are using data to transform their business.

These companies exemplify the broader shift taking place in the market wherein companies are transitioning from experimenting with or exploring the benefits of using cloud and big data solutions, to implementing these technologies to drive widespread business ROI, and in some cases also benefit society at large.

Our mission at Talend is to help companies become more data-driven. One can only do this by efficiently collecting and combining data from a broad variety of sources so companies can gain the insight needed to optimize any part of their business – from identifying fraud to improving customer service. This is what our software does exceptionally well. Not only has it been proven by our over 1300 Global 2000 customers worldwide, by our leadership in the 2016 Gartner Magic Quadrant for Data Integration, but we believe that it’s been confirmed once again today with our recognition as a Leader in the Forrester Wave: Big Data Fabric, Q4 2016.

I encourage you to download a complimentary copy here and find out for yourself how Talend excels in Big Data Integration and Management.

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