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; EpochOS moved off Power BI in 2 weeks. See how DataBrain compares to Metabase, Power BI, Looker, and others.

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.

How do I embed DataBrain dashboards in React or Angular?

DataBrain ships SDKs for React, Angular, Vue, and Next.js, plus iframe and web-component embed options. You pass a tenant-scoped token and optional theme config to the dbn-dashboard component. SSO and JWT are handled by the SDK, so your customers log in through your existing auth flow without a second session.

How long does it take to go live?

Most teams ship their first customer-facing dashboards in 2-4 weeks. Connect your warehouse (minutes), define metrics in the Visual Builder or Custom SQL (1-3 days), build dashboard templates (1-3 days), and embed with a single snippet. EpochOS moved from Power BI to a live DataBrain embed in two weeks with no new data hires.

Does DataBrain offer on-prem or managed hosting options?

Yes. DataBrain runs as fully managed Cloud or On-Prem entirely inside your VPC. Both options include the same feature set.

DataBrain | AI-Powered Embedded Analytics Platform for SaaS

Dashboards

Dashboards that live inside your product

Drill-downs, filters, exports, and scheduled reports. Low-code builder or extensible SDK for custom layouts.

DimensionsVAL | month ×

MeasureVAL | growth_rate ×VAL | total_revenue ×

Sales Statistics

Revenue this month

$4,210.00+10%

JANMARMAYJULSEPNOV

White-label

White-label dashboards, themed to your brand

Theme once across every customer dashboard. Custom fonts, palettes, and SDK styling. Your brand, everywhere.

Reporting+ Metric

Active Deals$120,300

From last month+10%

Revenue$234,210

From last month+8%

Deals Created1,200

From last month-2%

Estimated Revenue

$600,000

Monthly Deals

Marketing$30K

Sales$120K

Digital$123K

Sales Statistics

$4,210.00+10%

OwnerServiceStatus

Priya RamanMobile app rolloutContact sent

M. CastellanosWeb redesignContact sent

Tomas OkaforAnalytics onboardingIn review

Color Palette+ Custom

Reds

Blues

Purples

Greys

Northstack
Custom theme

Theme

LightDark

Multi-tenant

Tenant isolation and row-level security

RLS baked into every metric at the data layer. Auditable, compliant, zero-leakage by design.

shipments table

WHERE org_id = :tenant

Tenant A

$840K

Tenant B

$210K

Tenant C

$96K

KPI only

Zero cross-tenant leakage

AI analytics

Natural-language queries, governed answers

Ask in plain English. Every answer traces to your semantic layer, scoped to the requesting tenant.

Ask your dataLive

→ Which lanes drove freight cost overruns?

Metric: Freight spendScope: Meridian Freight

Generated SQLRead-only

SELECT
  lane,
  SUM(actual_cost - budget_cost) AS overrun
FROM freight_shipments
WHERE shipped_at >= CURRENT_DATE - 30
GROUP BY lane
ORDER BY overrun DESC

● Semantic model grounded

Semantic layer

Data modeling and metrics

Visual Builder, Custom SQL, or AI Chat. One governed layer for product, BI, and AI analytics.

Developer SDKs

Drop-in analytics SDKs and REST APIs

React, Angular, Vue, Next.js, iframe, and web components. SSO and JWT built in. Per-tenant isolation with zero cross-leakage.

analytics.tsx

import '@databrainhq/plugin/web'

export default function Analytics({ token, dashboardId, theme }) {
  return (
    <dbn-dashboard
      token={token}
      dashboardId={dashboardId}
      theme={theme}
    />
  )
}

ReactVueAngularSvelteWeb component

● SSO / JWT built in

Natural-language analytics, safely governed

Embed AI queries directly in your product. Every answer is traceable, tenant-isolated, and grounded in your semantic model. No hallucinations, no cross-tenant leakage.

Grounded, not guessing

Every AI answer traces back to metrics you defined. The semantic layer is the single source of truth. No invented numbers.

Tenant-isolated at query time

Row-level security enforces itself on every AI request. A customer at Tenant A cannot access Tenant B's data, even through natural language.

Agentic and MCP-ready

DataBrain exposes your governed data model to AI agents and MCP clients, enabling automated in-product workflows without rebuilding your data layer.

"Our mortgage brokers now get insights through natural language. Adoption jumped overnight."

Co-founder, epochOS

Hear from our customers

We struggled with PowerBI due to embedding issues and unpredictable pricing. Switching to Databrain streamlined everything with better customizations, predictable pricing, and AI features that let our mortgage brokers get insights through natural language.

Evan

Co-founder, EpochOS

$100k

COST SAVED

6 Months

DEV TIME SAVED

With growth, our customers demanded more from their data. We saw the complexity of building a reporting module from scratch, but DataBrain accelerated our time-to-market without compromising security and scale.

Nitish V

Product Manager, spendflo

$250k

COST SAVED

5 Months

DEV TIME SAVED

DataBrain has helped us build out customer-facing reporting on the SpotDraft platform. Their team is highly responsive, and taking this approach has saved us significant internal engineering resources in the long run.

Rohith S

CPO,SPOTDRAFT

$300k

COST SAVED

2 Weeks

TIME TO MARKET

Databrain allowed us to create a fully custom analytics module. It enabled anyone in the organization to create metrics and visualize data, even with minimal SQL knowledge, using their intuitive low-code framework.

Swami

PRODUCT MANAGER, FREIGHTIFY

$200k

COST SAVED

7 Months

DEV TIME SAVED

Ship AI-powered embedded analytics inside your product.

Building it in-house costs more than you think

Ship customer-facing analytics in 2-4 weeks

How it works

Connect any data source

Build governed metrics once

Design customer-facing dashboards

Ship with one snippet