Dashboard Copilot builds the board for you
Add charts, switch visualisations, flag outliers. The AI dashboard builder edits the board and shows its work.
Ship AI-powered embedded analytics in your product, in weeks.
Your customers asked for reports. Embed white-labeled dashboards and governed AI chat in your product, on the warehouse you already run.
- No data stored
- SOC 2 Type 2
- Live in 2 to 4 weeks
2 to 4 weeks
from warehouse to production
$230K
engineering cost saved on average
7 months
of roadmap handed back to your team
AI your customers can use, on your metric definitions
Not a chatbot bolted onto a database. A Dashboard Copilot, one semantic layer, your choice of LLM, and an MCP server for the agents your customers already use.
Bring your own LLM
OpenAI, Azure OpenAI, Anthropic, Gemini, Llama or Mistral. Switch the LLM per workspace, with no change to the embed.
One semantic layer for every metric
AI drafts the metric definitions from your warehouse. You approve them, and every answer resolves to one you signed off.
An MCP server for your AI agents
From a prompt in Claude, Cursor, Codex or Windsurf to embedded analytics, with every tool call tenant-scoped.
Everything your customers expect from analytics, in your product
White-label analytics, down to the report email
- White-label dashboards styled with your design tokens
- Light and dark modes in one setting
- Scheduled reports sent from your own subdomain
Multi-tenant security before every query runs
- Multi-tenant analytics with row-level security per tenant
- Column-level security masks sensitive fields by role
- Your backend issues tenant-scoped guest tokens
Connects to the data warehouse you already run
- Warehouses, lakehouses, query engines and databases
- Live queries, as fresh as your warehouse
- We store metadata only, never your data
Embedded analytics SDK, 40+ chart types
- Web components for React, Next, Angular, Vue
- 40+ chart types with drill-downs and cross-filters
- Exports and scheduled reports, no extra code
Self-service dashboards your customers build
- Self-service analytics with a drag-and-drop builder
- Metrics from your semantic layer, no SQL
- Filters, drill-downs and exports on every board
From your warehouse to your product in three steps
Most teams are live in 2 to 4 weeks. The variable is the state of your data model, not our setup time.
Connect your warehouse
Read-only connection. Your data never moves, we never store it.
Define your metrics once
Your semantic layer and tenancy model, set up in days with our team.
Embed and ship
npm install, drop in the component, go live white-labeled.
Customer stories
Teams that stopped building BI
EpochOS
- to production
- 2 weeks
- of engineering saved
- $100K
“We struggled with Power BI 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 WadeCo-founder, EpochOS
Spendflo
- saved
- $300K
- to go live
- 2 weeks
“We cut down 6 months of work for our data analysts and saved around $300K, all while keeping a smaller, more efficient team.”
AjayChief Technology Officer, Spendflo
SpotDraft
- saved
- $300K
- of engineering handed back
- 9 months
“Databrain helped us build customer-facing reporting on the SpotDraft platform, saving significant internal engineering resources in the long run.”
Rohith SChief Product Officer, SpotDraft
Enterprise security, without handing anyone a copy of your data
Multi-tenancy, row-level security and access control are built in, so your team never writes or maintains custom security logic.
Multi-tenancy and row-level security
You build one dashboard. Each tenant sees only their own rows and columns, filtered by the tenant identifier you already use, before any SQL runs.
Access control
Viewer, editor or admin, set per user or per tenant. The role travels with the guest token, so the embed can never show more than it allows.
Security and compliance
You focus on shipping. We handle the audits, certifications and paperwork.
SOC 2 Type 2Audited annually
GDPREU data subjects
ISO 27001Information security
HIPAAHealth data
CCPACalifornia privacy
Drive revenue impact with end-user analytics
Create new revenue, deepen customer adoption, and ship more without turning your engineers into a BI team.
Revenue
Monetize your data product
Sell governed AI and self-service embedded analytics as your own paid product tier.
- Launch a billable analytics tier
- Protect margins with flat pricing
- White-label every customer touchpoint
Retention
Drive deeper product adoption
Keep customers inside your product for the answers, reports, and metrics they need.
- Keep analytics inside your product
- Enable self-service for every tenant
- Personalize access by tenant and role
Delivery
Ship analytics fast
Embed into your current stack without taking ownership of another analytics platform.
- Ship with web components and SDKs
- Reuse one governed semantic layer
- Keep your warehouse as the source
Everything you need to finish the evaluation
- See the full feature setCharts, embedding methods, SDKs, auth, governance
- Compare us honestlyAgainst Looker, Power BI, Tableau, Metabase, Superset, Sisense, QuickSight, Luzmo
- Read the docsFive-minute quickstart, React and Angular SDKs, MCP reference
- Security and complianceSOC 2 Type 2, GDPR, NIST CSF aligned, tenant isolation enforced before the query is built
- Customer storiesNamed companies, quantified outcomes
- Work out the build costWhat building this in-house would actually cost you
Questions buyers actually ask
What is embedded analytics?
Embedded analytics is the practice of putting dashboards, reports and data exploration directly inside a software product, so users analyze their data without leaving the app or opening a separate BI tool. In B2B SaaS it usually means customer-facing analytics: each customer sees only its own data, styled to match the host product. Databrain is an embedded analytics platform that provides this layer, connecting to your warehouse, enforcing tenant-level access and rendering white-labeled dashboards inside your application.
Is Databrain an embedded analytics platform for SaaS?
Yes, Databrain is an embedded analytics platform built for B2B SaaS teams that need customer-facing dashboards inside their product. It connects to your existing warehouse, scopes every embedded session to one tenant through a guest token your backend requests, renders dashboards as web components styled with your brand, and lets end users ask questions in plain English where you enable it, with report building available on Enterprise. It runs as a managed cloud service, or self-hosted on the Enterprise plan.
How long does it take to go live with Databrain?
Most teams take Databrain from a connected warehouse to customer-facing dashboards in production in 2 to 4 weeks. Published customer stories show the range: Freightify went live in 1 week after replacing Metabase, Spendflo and EpochOS in 2 weeks, BerryBox in 3 weeks and SpotDraft in 4 weeks. The main variable is how ready your data model and tenancy setup are, not the embed code itself.
Which databases and data warehouses does Databrain connect to?
Databrain connects to Snowflake, BigQuery, Redshift, Databricks, ClickHouse, PostgreSQL, MySQL, SQL Server, Microsoft Fabric, Athena, Trino, Firebolt, SingleStore, MongoDB and Elasticsearch, among others. It needs only read (SELECT) access and queries your database live instead of copying your data into a separate store. Query results can be cached for speed, either in Databrain’s managed Redis or in your own Redis or ElastiCache instance, with an expiry you set per workspace.
How is Databrain priced?
Databrain uses flat, feature-based pricing starting at $999 per month, with no per-seat or usage fees. Growth includes one data source, Pro is $1,995 per month with unlimited data sources, SSO and roles, and Enterprise is custom priced with self-hosting. Every plan includes unlimited seats, embeds and tenants, so the bill does not rise as your customer count grows, and every plan starts with a 14-day free trial.
Is Databrain a good alternative to Metabase or Power BI for embedding?
Databrain is a strong alternative when the goal is customer-facing analytics, because it was built for embedding rather than adapted from internal BI. It prices flat with unlimited viewers instead of per user or per capacity, and renders dashboards as web components inside your app. Freightify replaced Metabase and went live in 1 week; EpochOS and BerryBox replaced Power BI in 2 and 3 weeks. Many teams keep Power BI or Metabase for internal reporting.
See Databrain on your own data
30 minutes. We connect a warehouse, show you a white-labeled dashboard running against your schema, and give you a straight answer on whether we fit.