DataBrain

以下为收录时的原文，语言与页面不同，未做翻译。

DataBrain is an embedded analytics platform that gives product teams and developers interactive dashboards, self‑service reporting, and AI‑powered insights. Its low‑code interface and SDK let users customize visualizations, connect to multiple data sources, and embed analytics into applications.

官网介绍

Ai-Powered Embedded analytics platform for modern SaaS. Add dashboards, reports & metrics to your app with flexible SDKs, APIs & UI Kits. Start your free trial today.

官网要点

• Live sync, add new sources from the UI
• Drag-and-drop charts, filters, drill-downs, and exports
• Reusable templates per customer segment
• ✓ Support product stickiness and net revenue retention goals
• ✓ Make reporting billable without creating more engineering debt
• Version upgrades and patching managed by DataBrain

官方常见问题

Is DataBrain an embedded analytics platform for SaaS?

Yes. DataBrain is purpose-built for B2B SaaS teams who need to embed customer-facing analytics in their product. It handles multi-tenant data isolation, white-label theming, AI-powered queries, and SSO out of the box, without requiring you to build a separate BI stack.

How much does DataBrain cost?

Pricing is flat and based on features, not per-seat. The Growth plan starts at $999/month and includes multi-tenancy, unlimited seats, unlimited embedded dashboards, and one data source. See the pricing page for the full plan comparison, or book a demo for a quote tailored to your product.

Is DataBrain a good alternative to Metabase or Power BI for embedding?

If the goal is customer-facing analytics, yes. Metabase and Power BI are strong internal BI tools, but embedding them in a multi-tenant SaaS product means iframe-first embeds, per-user or capacity pricing, and tenancy logic you build yourself. DataBrain is built for embedding from day one: web components, flat pricing, and tenant isolation at the data layer. Freightify replaced Metabase in 1 week;

What data sources does DataBrain connect to?

DataBrain connects to Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, spreadsheets, and web APIs via read-only credentials. DataBrain stores metadata only, like table schemas and dashboard configs: queries run against your warehouse directly, and your data never leaves your environment.

Does DataBrain support multi-tenancy and row-level security?

Yes. Tenant isolation and row-level security are built into the data layer, not bolted on in application code. Every query is scoped by a tenant key you define once in the semantic layer. A customer at Tenant A can never see Tenant B's data, regardless of how your product routes requests.

Can end-users create their own metrics in DataBrain?

Yes. Your customers can build reports, filter dashboards, and define their own metrics inside your product, with every query scoped to their own tenant data. You control how much self-service each role gets, from read-only dashboards to a full drag-and-drop builder and natural-language AI queries.