Abstract: The present disclosure describes an analytical data management system (ADMS) that serves critical dashboards, applications, and internal users. This ADMS has high scalability, and availability through replication and failover, high user query load, and large data volumes. The ADMS provides continuous ingestion and high performance querying with tunable freshness. It further advances the idea of disaggregation by decoupling its architectural components: ingestion, indexing, and querying. As a result, the impact of a slow down in indexing on the query performance is minimized by either trading off data freshness or incurring higher costs.