Operational Database Management Systems
Q1. How is Python evolving its infrastructure and tooling to support the explosive growth of AI and machine learning workloads, particularly around vector operations and large-scale data processing? For AI and ML workloads I see...
Q1. Traditional relational databases like SQL Server were designed for transactional workloads, yet organizations increasingly need real-time analytics on streaming data. You’ve worked extensively with both SQL Server and Fabric’s Real-Time Intelligence databases. Beyond the...
Q1. You mentioned that fragmented toolchains can extend AI development timelines by 40-60%. What specific pain points did you observe in the field that led Scality to develop this industry-first certification program? Were there particular...
Q1. MySQL’s spatial query optimizer must handle complex geometric predicates efficiently. Can you walk us through the key challenges in optimizing spatial queries—particularly for operations like spatial joins and nearest-neighbor searches? How do computational geometry...
Q1. As a core contributor to Powertools for AWS Lambda, how do you balance the trade-offs between feature richness and cold start performance? Cold start performance is always top of mind when we’re building...
Q1. Could you start by giving us an overview of Nextdoor’s technical architecture and the specific use cases where you rely on in-memory data stores? What scale and performance requirements does your platform demand,...
Interview by Ramesh Chitor Q1. What inspired you to create TrustModel.ai, and what problem were you aiming to solve in the AI space? The inspiration came from witnessing a dangerous disconnect between AI’s transformative...
Q1. In the open source world, code contributions take the spotlight. What is the role of non-code contributors and why is it important? In the open source world, while code contributions are highly visible,...
Stanford Health Care, part of Stanford Medicine, was awarded a 2025 InterSystems Impact Award for its AXIOM initiative for fast access to electronic health records. In turn, AXIOM underpins the ChatEHR medical chatbot that Nikesh...
Q1. Couchbase released some benchmark results. The benchmark shows Couchbase achieving 703 QPS with 369ms latency at 93% recall accuracy, while MongoDB delivered only 2 QPS with 40+ seconds latency. What specific architectural decisions...