Every modern company runs a zoo of databases — one for business records, one for documents, one for speed, one for live events, one for AI search. The Synergy answer is a single engine that speaks each of their languages, so existing software connects without changes — and keeps every kind of data in one place, updated together so it can never disagree with itself.
The universal database — roughly 283,000 lines of code that handle business tables, flexible documents, instant lookups, relationship maps, AI search, and live event feeds from one engine.
replacesIt speaks the same languages the big-name databases speak, so real, unmodified software just runs: GitLab loaded all 1,466 of its database tables perfectly, and Odoo 17, OpenEMR, Mastodon, and BookStack connect as-is.
replacesA drop-in stand-in for Kafka, the industry-standard live-event system — built inside the database, so every event can be searched and reported on the moment it arrives, with no copying pipeline.
replacesRuns as a cluster of three servers — if one dies, another takes over with nothing lost. Every byte on disk is encrypted, proven by pulling the plug mid-write, and per-user access rules decide exactly which data each person may see.
replacesFacts, relationships, and AI-search data saved together in one all-or-nothing step, so they can never disagree — the perfect-recall memory the Synergy autonomous AI already lives on.
replacesEvery extra datastore is a license, a cluster, an on-call rotation, and a copying pipeline that can silently drift out of agreement with the others. Consolidating them into one engine doesn't just cut cost — it makes the data agree with itself by construction. A customer record, its paperwork, its AI-search entry, and the event that created it are all saved together in one all-or-nothing step, which is exactly what an AI-native platform needs underneath it.