Almost three years ago today, to the day, Talend opened its fourth global research and development center, and its second one in France, in Nantes. It was clear to Talend from the very beginning of this new innovation center that it would not be a simple satellite of existing centers, but a key element in our strategy and overall R&D efforts.
As analytics software vendors, we need to do something profoundly different to improve how business users access, consume, and interact with data.
Today, we’re thrilled to announce the release of Kong 1.1! Building on the release of support for service mesh in Kong 1.0 last September, our engineering teams and community have been hard at work on this latest iteration of our open source offering. With new Declarative Config and DB-less deployment capabilities, as well as numerous small improvements and fixes, Kong 1.1 is one of our most exciting releases to date!
This month, Bugfender turned four years old. We didn’t throw a massive party to celebrate the birthday (the team is spread all over the world, which makes party-planning rather tricky) but we all reflected with pride on the amazing journey we’ve been on. Over the last four years we’ve watched Bugfender become a vibrant, sustainable venture. What started as a spin-out from our parent company, Mobile Jazz, is now established in its own right.
We are excited to announce that Katalon has been recognized as a March 2019 Gartner Peer Insights Customers’ Choice for the Software Test Automation market. Katalon has the 2nd highest number of reviews out of 34 companies listed on Gartner Peer Insights’ Software Test Automation market. Our team at Katalon takes great pride in this distinction, as customer feedback continues to shape our products and services.
When doing data matching with large sets of data, consideration should be given to the combinations that can be generated, and it’s associated effects on performance. This has an effect when using Talend’s Data Integration Matching and Data Quality components. Matching routines do not scale in a linear fashion.
