Hello Katalians! It feels like it was just a few weeks ago when we delivered the good news about the release of Katalon Studio 7 . We didn’t want to keep you waiting any longer for the latest and greatest. Today, we are excited to announce the release of Katalon Studio 8 (KS8) . This release comes packed with a broad set of new features as well as dozens of improvements and fixes to continue providing you with a one-of-a-kind testing experience.
Today, we are thrilled to announce that we have expanded open access to Kong Konnect, the world’s only cloud native, full lifecycle service connectivity platform, for everybody anywhere in the world, thanks to a new plan called Konnect Plus! Available today with a free 30-day trial.
In a press release delivered today, Unravel Data announced its appearance on CRN’s Big Data 100 list for 2021. Unravel’s entry appears in the Data Management and Integration category. Also featured in this category are other rising stars such as Confluent, Fivetran, Immuta, and Okera, all of whom spoke at new industry conference DataOps Unleashed, held in March.
Building on the promise to offer a swift testing experience to the testing community, Katalon is thrilled to announce the release of TestOps April 2021! This release adds multiple features such as integration with Pytest, Kobiton, the ability to execute Test Suites in parallel and more!
In 2006, SoapUI was developed with a singular goal: create a simple, open-source SOAP API testing tool. Since then, developers have contributed code and provided valuable feedback to help SmartBear transform SoapUI into ReadyAPI, the most powerful API testing platform on the market.
Businesses can now use Fivetran with the Lakehouse Platform on Google Cloud. We are excited to launch Fivetran support for a newly available solution: Databricks on Google Cloud. We’ve partnered with both Databricks and Google Cloud for many years now, and understand the unique value they each deliver to Fivetran customers, so it was a priority for us to support their joint effort.
At Iguazio, we’ve spoken and written at length about the challenges of bringing data science to production. The complexity of operationalizing ML can generate huge costs in terms of work hours and compute resources, especially as successful projects get scaled up and expanded. We’re proud to share that the Iguazio Data Science Platform has been named a fast moving leader in the GigaOm Radar for MLOps report.
