Systems | Development | Analytics | API | Testing

Today, identifying, managing and understanding data is made faster and easier through the use of automation, algorithms and natural language capabilities that enhance – not replace – the key steps along the analytics life cycle. Most importantly, it isn’t as inaccessible as you may think.

The G2 Summer Report 2025 has arrived. Published by the renowned software review website g2.com, this report brings value to both sides of the market: With up to 37 G2 badges received this time, we're really happy to see that our product is resonating with users across a wide range of markets and industry segments, including DevOps, Software Testing, and Automation Testing. Here's a quick recap of the report.

To evaluate our software application’s quality and reliability we are going to have to test our application in a variety of ways. The two most basic forms of testing we have available to us are unit testing and functional testing. Unit testing and functional testing are the TRUE basic building blocks of those different types of testing.

Choosing the right framework can significantly impact the success of a dev project. If you've chosen to use Python for your project's backend, you might need to decide between Flask and Django, the most popular web frameworks in the Python ecosystem. This article will help you determine which of the two best suits your specific needs by examining the key factors to consider. Before diving into the technicalities, let's briefly introduce both Flask and Django.

To unlock AI’s full potential, organizations must combine strong data integration with human insight and operational alignment.

Fivetran’s Connector SDK radically simplifies the process of building custom connectors for unsupported data sources.

The new bugsnag-kmp SDK is a unified error monitoring solution for Kotlin Multiplatform (KMP) projects, enabling developers to track and monitor errors across Android, iOS, and web platforms from a single codebase. The new SDK works seamlessly on Android, iOS, and web browsers Native Integration, each one linking directly with our existing platform SDKs.

By Erez Schnaider, Technical Product Marketing Manager, ClearML The promise of artificial intelligence, particularly with the advent of LLMs, is transformative. Organizations are eager to harness this power, integrate AI into their products, and automate complex processes in order to materialize the lofty promises of generative AI – efficiency, deep domain knowledge, and a competitive edge.

Data is everywhere, but transforming it into clear, actionable insights is easier said than done. For organizations using Qlik, the platform offers a strong foundation for analysis, but how do you take your dashboards from functional to exceptional? Enter Vizlib from insightsoftware, the game-changing Qlik add-on that empowers users to turn basic dashboards into engaging data stories.

For too long, businesses have been adrift in a sea of static dashboards and colorful visualizations, mistaking activity for insight. They call it business intelligence, but in reality, it's just more noise. These legacy dashboards are inherently unintelligent; they might answer your first question, but they immediately force you to create ten more dashboards to get subsequent answers. It’s a vicious cycle of dashboard sprawl, not true intelligence.