Web App Development
Dashboard Web App Development
Turn raw data into decisions your team can act on. We build real-time dashboards with live charts, drill-down tables, and role-based views — performance-tested to stay fast as your data grows.
Why Dashboard Performance Is an Architectural Problem
Most dashboard projects fail the same way: they start with a simple chart, add a date filter, add a second chart, and six months later the page takes 12 seconds to load because nobody thought about query performance at the schema level. By the time users complain, the data is so entangled with the UI that the only fix is a rewrite. We solve this by designing the data access layer — indexes, materialized views, aggregation tables — before a single chart component is written.
Real-time data adds another dimension of complexity. Supabase Realtime subscriptions are elegant for small datasets but will overwhelm your client if you subscribe to a table with 100,000 rows. We architect the right layer for each data type: WebSocket subscriptions for low-cardinality live metrics, polling with SWR for medium-frequency updates, server-side aggregations for historical charts. The correct choice depends on the data, not on what's easiest to wire up first.
Role-based access in dashboards is not just a UI concern. Hiding a chart in React while the underlying API still returns the data is a security vulnerability, not an access control system. We implement row-level security in PostgreSQL via Supabase so that every query — whether from a server action, an Edge Function, or a direct database connection — returns only the rows the authenticated user is permitted to see.
Our Approach to Dashboard web app development
Every project follows our 4-step vibe-coding process — AI handles the boilerplate, senior engineers handle the craft. From idea to live product in 3–7 days for MVPs.
Data Model & Aggregation Design
We map your metrics to database schemas, identify which aggregations can be pre-computed, and create the indexes that make your most common dashboard queries fast — before we write a single component.
Real-Time Architecture
We choose the right real-time strategy per metric type: Supabase Realtime for live counters, SWR polling for medium-frequency KPIs, server-sent events for streaming logs. One strategy does not fit all.
Chart & Table Components
We build charts using Recharts or Tremor, virtualized tables via TanStack Table, and date-range pickers that push filter state to the URL so dashboards are shareable by link.
Multi-Tenant Isolation & RBAC
Row-level security policies in Supabase enforce tenant isolation and role permissions at the database layer. Admin, manager, and viewer roles see different data — not different CSS — verified by automated tests.
What You Get
Every dashboard web app development engagement includes these deliverables — scoped before we start, delivered before we invoice.
- PostgreSQL schema with aggregation tables and indexes optimized for dashboard queries
- Supabase RLS policies for multi-tenant data isolation
- Real-time metric subscriptions with appropriate refresh strategies
- Recharts or Tremor chart components with responsive layouts
- TanStack Table with server-side sorting, filtering, and pagination
- Date-range and dimension filters with URL state persistence
- Role-based access control: admin, manager, viewer tiers
- CSV/Excel data export per table
- Lighthouse performance score 90+ with large datasets
- Dashboard embed tokens for sharing views with external stakeholders
Tech Stack We Use
Our dashboard stack: Next.js 15 app router with React Server Components for initial data loads, React 19 for interactive filter state, Supabase (PostgreSQL + Realtime + RLS), Recharts and Tremor for visualization, TanStack Table for data grids, SWR for client-side polling, TypeScript strict mode, Tailwind CSS, and Vercel edge deployment. Chart rendering is kept server-side where possible to minimize client JavaScript bundle size.
Case Study
FinTrack — Financial Dashboard with Live Data Feeds
FinTrack aggregates transaction data from multiple bank connections and presents portfolio analytics to financial advisors managing hundreds of client accounts. The challenge was threefold: queries across millions of rows needed to return in under 500ms, each advisor should see only their clients' data, and a handful of 'live' metrics needed to update without a page refresh. We designed materialized views for historical aggregations, Supabase Realtime subscriptions for the live ticker, and RLS policies that tied every query to the authenticated advisor's client list. The result is a dashboard that loads in 340ms cold and updates live metrics every 5 seconds.
Read full case studyPricing Transparency
Dashboard web app development starts at $5,000 for an MVP covering one data source, 4-6 chart types, and two user roles. A full multi-tenant SaaS dashboard with RBAC, real-time feeds, and export features runs $15,000. All pricing is fixed-scope — we quote before we code.
MVP
From $5,000
3–7 business days
Full Build
From $15,000
2–4 weeks
All projects include full code ownership, two revision rounds, Vercel deployment, and one week of post-launch support. No hidden fees.
Frequently Asked Questions
How do you handle dashboards that need to query millions of rows?
We design aggregation tables and materialized views during the data modeling phase so that dashboard queries hit pre-computed summaries rather than scanning raw tables. Proper indexing and query planning happen before the first chart is rendered.
Can you connect the dashboard to third-party data sources like Stripe or HubSpot?
Yes. We build ETL pipelines that pull data from external APIs into your PostgreSQL database on a schedule, then the dashboard queries your own database. This keeps dashboard performance independent of third-party API latency.
How do you implement multi-tenant data isolation?
Row-level security policies in PostgreSQL, enabled via Supabase, enforce that every SELECT, INSERT, UPDATE, and DELETE is filtered by the authenticated user's tenant ID. This is enforced at the database layer, not the application layer.
What chart library do you use and can we customize it?
We default to Recharts for custom chart needs and Tremor for rapid dashboard UI. Both are fully customizable with TypeScript. We deliver chart components as standalone files your team can extend.
Can dashboard views be embedded in other apps or shared externally?
Yes. We implement signed embed tokens that grant read-only access to a specific dashboard view for a limited time. Useful for sharing reports with clients who don't have accounts.
How do role-based permissions work in practice?
We define roles in your database schema and map them to Supabase JWT claims. Each RLS policy checks the claim. An admin sees all data; a manager sees their team's data; a viewer sees their own data — enforced at every layer.
How do I start a dashboard project with Greta?
Email hello@greta.agency or visit /contact. Describe your data sources, the decisions the dashboard needs to enable, and your team size. We'll scope the project and send a fixed-price proposal.
Ready to ship?
Build a Dashboard Your Team Will Actually Use
Start Your ProjectOr reach us directly at hello@greta.agency
Written by the Greta Agency team · Last updated April 2025