Operational Database Management Systems
This section contains dedicated contributions from ODBMS.ORG’s Panel of Experts.
Q1. Real-time systems have traditionally relied on in-memory databases to guarantee deterministic performance, while persistence introduces latency unpredictability. How did you architect eXtremeDB/rt 2.0 to bridge this gap? What were the key technical challenges...
Q1. You’ve spent over 30 years watching technology markets form, mature, and get disrupted — from enterprise software to data infrastructure to AI. What made this moment feel different enough to start something new rather...
Q1. Most vector databases were architected from the ground up for cloud-first, always-connected environments. As the author of Vector Databases for Enterprise AI and the CTO behind VectorAI DB, how do you explain the fundamental...
Q1. Your research found that 57% of enterprises prioritize storage performance to avoid AI bottlenecks — actually ahead of compute and GPU availability. That surprises a lot of people, since the AI conversation is dominated...
Q1. You’ve spent over 15 years working across AI and multilingual technology, often joining organizations before the direction was fully clear. In your experience, what is the most common mistake teams make when they...
Q1. Marcelo, congratulations on being named MySQL Rockstar 2025! You’ve spent nearly 20 years working with MySQL — from the LAMP stack era when InnoDB was “the new kid” to today’s cloud-native, multi-terabyte production environments....
Q1. Enterprise ERP modernization has been on the agenda for decades, yet many organizations still struggle with legacy complexity. What are the most common reasons large enterprises find themselves stuck — and what are...
Q1: RaimaDB Cert is being marketed as “the only certified embedded database for functional safety.” What makes certification so significant in the database industry, and why has it taken this long for an embedded...
Q1. Your book argues that general intelligence will emerge from orchestrated cooperation among specialized LLM agents rather than from ever-larger monolithic models. What led you to this thesis, and can you explain why collaborative...
Q1. Reva, you’ve spent two decades evaluating automated technologies in high-stakes settings — from your work as a forensic scientist at the U.S. Secret Service to leading NIST’s AI risk management efforts. How has your...