"BI and Reporting for Datomic"
summary
Shows how Datomic data is made usable in Metabase by building a custom Metabase driver, an automation called Melvin plus embedkit to create and embed dashboards, and finally an ETL tool called Plenish that streams Datomic transactions into Postgres. Datomic Analytics (Presto) initially works but hits minute‑long queries, schema/driver breakages and heavy ops; Plenish trades real‑time for stable, fast dashboards, runs in production, and is now open source.
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