Startup database vendor Regatta Data on Wednesday made its entry into a market populated by long-established vendors, launching RegattaDB to provide users with a unified data foundation for developing agents and other AI applications. Traditionally, databases have separated transactional processing, analytical processing and vector search to avoid potential performance bottlenecks. However, to be accurate, agentic and generative AI (GenAI) tools require far more data than business intelligence or traditional AI applications such as predictive models. Fragmented, isolated data doesn't provide agents and GenAI chatbots with enough context. In response, long-established database providers such as Couchbase, Microsoft, MongoDB and SingleStore now offer unified platforms, and data platform vendors Databricks and Snowflake each made acquisitions in 2025 to add PostgreSQL databases. Now, San Francisco-based Regatta Data is making RegattaDB generally available, and unlike many of its predecessors, RegattaDB was purpose-built for AI workloads rather than retrofitted or rearchitected to unify disparate database workload types. Of particular significance for Regatta Data's users is the potential reductions in cost and complexity when compared with maintaining separate databases for analytics, transactional and vector workloads, according to Stephen Catanzano, an analyst at Omdia. Devin Pratt, an analyst at IDC, similarly noted that potential performance gains are a significant aspect of RegattaDB's launch, stating, "Rebuilding the engine to collapse three systems into one is where the real efficiency comes from."