Converged database architectures can eliminate operational complexity by consolidating workloads that traditionally required specialized systems like Redis, Kafka, and PostgreSQL. While PostgreSQL has been proposed as a universal solution, its single-node architecture and overhead mechanisms make it suboptimal for unified data platforms. Modern databases need scalable distributed transactions, independent resource scaling, and zero-overhead principles to truly unify caching, streaming, analytics, and OLTP workloads without performance compromises. EloqData presents itself as a next-generation solution built from scratch to address these requirements through modular storage, elastic scaling, and a converged data substrate.