What would building this yourself actually cost?

Building customer-facing embedded analytics in-house usually costs six figures in engineering time before maintenance, because multi-tenant isolation, row-level security, SSO, white-labeling and caching have to be built alongside the charts. At this calculator's default inputs, the first-year build comes to about $250,000. Freightify tried an in-house build before choosing Databrain and reports saving $200,000 and 7 months of engineering effort. Use the calculator above to estimate your own figure.

Building customer-facing embedded analytics in-house typically takes six months or more of engineering before it is production-ready. In this calculator's model, feature work alone runs 3 months for static dashboards, 6 for interactive dashboards and 10 for self-serve analytics, plus at least 3 months of multi-tenant isolation work that grows with tenants and data sources. SpotDraft reports 9 months of engineering effort saved with Databrain, and Freightify reports 7 months.

The hidden costs of building embedded analytics in-house sit outside the charts: tenant isolation and row-level security, SSO, per-tenant configuration, white-labeling, caching for query load, and the maintenance that follows every schema change and customer request. The larger cost is opportunity cost, because the engineers doing that work are not shipping your core product. This calculator counts isolation, years two and three of maintenance, and a later tenancy rewrite, not only feature work.

The calculator prices an in-house build from five parts and compares it with Databrain's flat plan price over one or three years. The parts are feature work by tier, from 3 months for static dashboards to 16 for AI-driven analytics; multi-tenant isolation, which grows with tenants and data sources; maintenance in years two and three; a tenancy-rewrite allowance; and extra time for natural-language querying. Each part is costed at your loaded engineer salary.

The buy side uses Databrain's published flat prices: $11,988 a year on Growth when static dashboards are enough, and $23,940 a year on Pro for interactive dashboards. Self-serve and AI tiers need Enterprise features, so the calculator shows Enterprise as a custom price instead of an invented number. The calculator does not count your own team's integration time; teams typically reach production on Databrain in 2 to 4 weeks.