Systems | Development | Analytics | API | Testing

In Europe, trust is everything, and the bar is set by law. GDPR, the AI Act, NIS2, DORA, and the Data Act shape how data and AI must operate. Leaders need to show where data lives, who can touch it, and how it moves, and they want cloud speed and flexibility without giving up control, so sovereignty and transparency must be built in from day one.

Healthcare organizations are under growing pressure to connect legacy EHR (Electronic Health Record) and ERP (Enterprise Resource Planning) systems while safeguarding patient privacy and meeting strict compliance standards. Most of these systems — Epic, Cerner, MEDITECH, Infor, Oracle, SAP, and others — rely on enterprise-grade databases like Oracle, SQL Server, IBM DB2, SAP HANA, InterSystems IRIS, and PostgreSQL.

Federal agencies are right to prioritize commercial off-the-shelf (COTS) solutions for procurement modernization. Recent executive orders have provided a clear mandate for 'buy before build'—steering agencies toward proven, market-ready technology to accelerate mission delivery. But not all off-the-shelf procurement solutions are created equal. The technology landscape has evolved, revealing a critical divide in the world of off-the-shelf acquisition software.

Query templates in BigQuery data clean rooms let you create pre-defined queries that run against specific tables, reducing the risk of data exfiltration.

For the tenth consecutive time, Gartner has named Google Cloud Apigee a Leader in the 2025 Gartner Magic Quadrant for API Management.

A few years ago, we looked across many deployments and noticed a pattern: teams would build prototypes, spin up ML pipelines, and then stall. The model’s accuracy dropped. The “aha insights” dried up. The data scientists would get stuck waiting for dashboards to refresh, or data to be cleaned.AI is sexy. It sells. But it doesn’t do itself. The missing piece? Data readiness. Not just fast data.

The term “Behavior Driven Development”, or BDD, is an umbrella term for a wide variety of techniques. The general principles of BDD include reframing tests as descriptions of system behavior – “when I do one thing, I should see this result”. Historically, those descriptions were the output of a computer program. Over time, the uses of BDD shifted toward Gherkin, an English-like but precise language.

Modern businesses don’t run in just one place. Your applications might live in Amazon Web Services (AWS), your analytics in Microsoft Azure, and critical systems on-premises. The challenge? Keeping all that data connected and flowing in real time—without adding complexity or risk. As more organizations adopt these multicloud strategies, the need for secure, private data replication has become critical.

‍ Trust is the currency in FinTech - and in 2025, that currency is under siege. Cybercrime is accelerating. Global costs from cyber attacks are projected to hit USD 10.5 trillion annually in 2025, up sharply from about USD 3 trillion in 2015. Meanwhile, in the financial sector where your app may live, the stakes are even higher: the average cost of a data breach in financial services is pegged at USD 6.08 million.

Kafka cluster-to-cluster data replication is critical to many use cases: disaster recovery (DR), cloud or data center migration, testing applications with production-like data, and multi-region data distribution. Easy replication of data between clusters: The business case is clear, but the cost model is not. Some solutions appear free but impose heavy operational burden.