Snowflake’s Data Cloud is powered by a single engine. From day 1, we have been focusing on consistently evolving and improving this engine to allow existing workloads to run more efficiently and enable new workloads to run on Snowflake. The single engine approach translates into a single experience—from one consistent pricing model to an integrated approach combining performance, security, governance, and the foundation to seamlessly enable cross-region or cross-cloud scenarios.

Angles for Oracle simplifies the process of accessing data from Oracle ERPs for reporting and analytical insights; offering seamless integration with cloud data warehouse targets.

Welcome to The Monthly Sauce! We’re excited to share what we’ve been working on to help your organization achieve quality at speed. You’ll also get the latest insights and resources from our experts.

Over the past few months, we have slowly rolled out and enhanced our AI Visual Testing solution during the trial period. This month we are proud to announce the general availability (GA) of Katalon AI Visual Testing that includes additional enhancements. The following reviews all the combined AI Visual Testing features in the GA.

Data volumes are increasing exponentially with no sign of slowing. Experts predict that by 2025, the global volume of data will reach 181 zettabytes — that’s more than four times pre-COVID levels in 2019. Data analysts at Centogene agree: “Every mouse click, keyboard button press, swipe or tap is used to shape business decisions. Everything is about data these days - data is information, and information is power.”

All your app-level settings are available on one page to simplify handling test devices, notifications, and more.

Hello Katalians! Our latest release of Katalon Studio (8.4.0) is now available, and comes with a set of features to make your testing experience even better by enhancing testing capacity, security, and user experience. Without further ado, let’s dive right into the details.

Nate Lee here, and I’m one of the founders of Speedscale. The founding team’s worked at several observability and testing companies like New Relic, Observe Inc, and iTKO over the last decade. Speedscale traffic replay was borne out of a frustration from reacting to problems (even if they were minor) that could have been prevented with better testing.

Our new feature helps you implement Type 2 slowly changing dimensions for your historical database analytics with no coding needed.

We’re excited to announce the latest release for both Kuma and Kong Mesh. This cycle, we focused on simplifying enterprise-wide mesh deployments. We strongly suggest upgrading, in order to take advantage of the latest and greatest when it comes to service mesh.