If you need a tool that can extract, transform, and load data, then Hadoop isn’t the right option for you. That doesn’t mean that you shouldn’t consider making Hadoop a part of your ETL process, though. Adding Apache Hadoop to your process could help increase speeds and ensure that you get accurate results.

Updates to BigQuery workload management help optimize workloads and resource allocation, preventing performance issues and resource contention.

It’s not every day you get to zoom out and talk about the why behind what you’re building. That’s exactly what Countly’s CEO, Onur Alp Soner, did recently on The SaaS Podcast—a conversation that turned into part reflection, part therapy, and part roadmap. The episode dives into the early days of Countly—when it was just a Hacker News post, a stubborn belief in data ownership, and a string of long nights spent building in open source.

ERP systems are the backbone of modern business operations. They support everything from finance and procurement to supply chain and compliance. But when it comes to reporting, even the most powerful ERP systems often fall short. Reports are slow to build, difficult to update, and often require IT support just to answer basic questions. That’s why optimizing your ERP reporting process is no longer optional. It’s essential.

Using Business Intelligence (BI) tools can be overwhelming—especially for company executives, shopkeepers, or factory workers who may only engage with them occasionally. This challenge is one of the key reasons we set out to rethink how most users interact with their data. Rather than relying solely on interactive dashboards or static PDF reports, we're exploring more intuitive and user-guided approaches.

New BigQuery features support near-real-time, transactional-style operations, letting you perform common data management in your data warehouse.

We’re proud to announce that the next version of MLRun has been released to community users. On the heels of MLRun v1.7’s focus on monitoring, MLRun v1.8 adds features to make LLM and ML evaluation and monitoring more accessible, practical and resource-efficient. New Highlights: MLRun is an open-source AI orchestration tool that provides AI practitioners with capabilities to accelerate and streamline the development, deployment and management of gen AI and ML applications.