Legacy technology slows AI development by creating integration bottlenecks, security risks and rigid data models that can’t support modern, dynamic workloads. According to Deloitte’s 2025 AI adoption analysis, nearly 60% of AI leaders cite legacy system integration as a top barrier to adopting agentic AI. Outdated databases and monolithic architectures force developers to stitch together multiple systems for transactions, search and embeddings, which drain time, add complexity and inflate costs.
The ideal database for the AI era…
