The Hi-Tech Data Convergence Migration Playbook | SingleStore

What this post added

This post details a migration playbook for consolidating fragmented data stacks into a converged architecture, focusing on practical field examples and a stage-gated migration approach. It highlights diagnostic questions to identify readiness for change, provides case studies (internet connection diagnostics, Epigen for real-time vector search, Heap for full-fidelity analytics), and outlines a five-step migration process: landscape assessment, identifying hot path use cases, replacing systems one at a time, keeping the warehouse, and avoiding new silos. The core technical argument is collapsing the 'hot path' by integrating continuous ingestion, multi-pattern queries, and compute close to data to handle demanding AI and real-time workloads, rather than adding more systems.