Systems | Development | Analytics | API | Testing

We put two of the most talked-about models head-to-head in a real-world RAG scenario, and the results might surprise you. Hemraj Bedassee , Delivery Excellence Practitioner,

Ephemeral test environments have surfaced as a solution to DevOps teams’ growing challenges. Dealing with spiraling cloud costs and infrastructure maintenance is only getting more complex. Development teams find themselves competing for limited or stale environments while datasets grow larger. As a result, development velocity suffers. Application teams need realistic data for effective testing.

Multiplayer MCP Server streams full stack session data into your IDE. Give AI tools complete context—frontend, backend, annotations—for accurate fixes.

Assume that your enterprise just rolled out a major product update after weeks of development and testing. But within hours of launch, customers are already experiencing problems: checkouts are failing in Safari, logins break in Firefox, and the Android app crashes. What was supposed to be a significant milestone release becomes an expensive fire drill, resulting in loss of revenue and customer trust. This is the harsh reality for many enterprises in 2025.

Building APIs for SQL and NoSQL databases used to mean weeks of coding, testing, and securing endpoints. In 2025, that’s no longer the case. With no-code REST API builders, you can expose databases like Postgres, MySQL, SQL Server, Snowflake, MongoDB, and DynamoDB in minutes — complete with authentication, documentation, and scaling features.

Hey there, Google Cloud customers! We've got some exciting news to share with you. You can now purchase Bitrise through Google Cloud Marketplace as a private offering. That's right: the lightning-fast mobile CI/CD infrastructure and powerful automated workflows you love from Bitrise, now with all the convenience of procurement and consolidated billing through Google.

Every QA engineer has felt the crunch: tighter deadlines, growing complexity, and the same old expectation that everything must work perfectly by release day. It’s not an easy balance. That’s why AI in software testing has become such a hot topic. It promises faster test case generation, smarter insights, and support with tasks that usually eat up hours of time. But let’s be clear: AI isn’t here to replace testers.

Being effective is not just about output. It describes how a team works together to deliver results that actually matter. At Databox, we define effective teams as ones that are clear on expectations, aligned on goals, and confident in how their work connects to the bigger picture. Sounds good in theory, right? But how do we actually achieve it?

A few months ago, at Qlik Connect, we announced the launch of Qlik Open Lakehouse, a new, fully managed capability that brings together the best of the Upsolver platform together with Qlik Talend Cloud. And today, we are excited to announce the general availability of Qlik Open Lakehouse within Qlik Talend Cloud that makes it easy and cost-effective for organizations to ingest, optimize, and manage massive amounts of data directly in Apache Iceberg–based lakehouses.

IT Professionals Day is our opportunity to celebrate the people who keep the digital world running - the ones who make sure data is secure, reliable, and ready to power innovation. At Qlik, we know IT professionals aren’t just solving problems, they’re enabling possibilities.