Systems | Development | Analytics | API | Testing

Test Automation Statistics For 2025

We recently interviewed 1,400 QA professionals in the State of Quality Report 2025 to arrive at these test automation statistics for 2025. 72% of them have up to 10 years of experience, and 16.2% of them have from 6-9 years of experience. The topics we surveyed include: Here are some notable statistics from the survey: Here are some more insights you may find valuable: Find these insights fascinating?

Free Kafka tooling: 6 annoying tasks to offload

You didn’t become a developer to spend hours hunting down missing messages, or debugging consumer issues. Yet here we are. Valuable dev time evaporates as you wrestle with Apache Kafka, or wait for a central team to unblock you, when you should be finding, prepping, and shipping streaming data in minutes. Lenses Community Edition tackles these everyday frustrations.

Scale Your Python Analytics With Pandas On Snowflake

Massive data sets can overwhelm native Pandas, causing memory issues and slow performance. Pandas on Snowflake eliminates these constraints by running Python code directly in Snowflake, with no rewrites needed. This demo shows how to transform and visualize large data sets using the familiar Pandas API with Snowflake’s distributed compute. Boost your data workflows and maintain security and governance, all while staying within the Pandas ecosystem.

The FinOps Advantage: Aligning Data Teams with Financial Goals in Snowflake Environments

Aligning technical operations with financial objectives is crucial yet challenging. Join us for this session in our Weekly Walkthrough drop-in series, "Controlling Cloud Costs," where we'll explore how to unite data teams and finance for Snowflake success. You will gain the knowledge and tools to create a FinOps framework that aligns your Snowflake operations with your organization's financial goals. With Unravel's Data Actionability Platform, you can see deep insights into your cloud spending and make informed decisions that balance innovation with cost-efficiency.

Data-Driven Testing vs. Keyword-Driven Testing: which is better?

Test automation has become a critical component of modern software development. However, choosing the right automation strategy can be challenging, as different approaches offer varying benefits depending on project needs and team expertise. Two widely used methods in test automation are data-driven testing and keyword-driven testing. Both approaches aim to enhance test execution by making tests more reusable, scalable, and maintainable, but they differ in their implementation and use cases.