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Top 3 SoapUI Alternatives in 2019 | Research Done For You

TL;DR Top 3 SoapUI Alternatives in 2019: The demand for API and Web service testing has been consistently growing. In this regard, SoapUI is still one of the most influential automation tools for API and Web service testing; but it also has drawbacks. In this blog, we will suggest some potential SoapUI alternatives that you can download and try for free.

Updates from Bugfender Q1/2019

Last month, Bugfender turned four years old. We didn’t throw a massive party to celebrate the birthday, but we all reflected with pride on the amazing journey we’ve been on. In celebration though we have setup an affiliate program, allowing you to share the love, earn some cash rewards – and improve the quality of apps all over the world! Find out more in our blog post.

Making Sense of the 2019 Gartner Magic Quadrant for Data Quality Tools

By now, you know that data is the lifeblood of digital transformation. But the true digital leaders have taken a step beyond by starting to understand the need to preserve this lifeblood with people, process and tools. That’s why data quality is so important in its ability to take control of the health of your data assets from diagnostic to treatment and monitoring with whistleblowers.

Key Considerations for Converting Legacy ETL to Modern ETL - Part II

Let me start by thanking all those who read the first part of our blog series on converting legacy ETL to modern ETL! Before I begin the second part of this three-blog series, let’s recap the three key aspects under consideration for converting from legacy ETL to modern ETL.

Why We Moved from Heroku to Google Kubernetes Engine

Until late last year, Rainforest ran most of our production applications on Heroku. Heroku was a terrific platform for Rainforest in many ways: it allowed us to scale and remain agile without hiring a large Ops team, and the overall developer experience is unparalleled. But in 2018 it became clear that we were beginning to outgrow Heroku.

Who Will Profit From The Revolution In Computer Vision?

Self-driving vehicles, weather forecasting drones, fulfilment robots and robotic surgery are already transforming the lives of millions of people. It is deep learning computer vision (DL CV) — visual sensors coupled with the ability to make instantaneous, human-like sense out of streaming video — that make these applications possible. One might think that acute focus on DL CV applications would be sufficient to yield the necessary breakthroughs and successful industry applications.