Data-intensive UI
Interfaces that stay smooth with live data and millions of rows
A data-intensive frontend has to show more data than the browser can comfortably render at once. We handle that with virtualization, which renders only what's on screen. We also batch live updates, move heavy work off the main thread, and draw large charts with canvas or WebGL. The interface keeps scrolling and responding on ordinary laptops and tablets, not just on developer machines.
Real-time data without a frozen screen
Transport
WebSockets, Server-Sent Events or WebTransport, chosen by update rate and direction.
Batching
Incoming messages are grouped and applied once per animation frame, not once per message.
Backpressure
When data arrives faster than the screen can show it, we drop or merge intermediate states instead of queuing them forever.
Reconnection
Automatic resubscribe with a resume point, so a dropped connection doesn't leave gaps.
Large tables, lists and grids
Virtualized tables render only the visible rows and columns, so a grid with a million rows scrolls like one with fifty. Sorting, filtering and aggregation run in Web Workers or on the server, never on the main thread while the user is scrolling.
Charts and visualization
For charts with many points we use canvas or WebGL renderers and downsample the data to what the screen can show, keeping peaks and outliers visible. Live charts use fixed-size buffers, so memory stays flat no matter how long the screen is left open.
Tuned to the device
The same dashboard may open on a workstation and on a five-year-old tablet. We measure frame times and, where the browser exposes them, device memory and CPU core count. Update rate, chart detail and visual effects scale down on weaker devices.
FAQ
Frequently asked questions
01How much data can a browser handle?
It depends on the device and on how the data is rendered. With virtualization and worker-based processing, the limit is usually memory, not rendering. We set explicit memory budgets for each view.
02Can you speed up our existing dashboard?
Yes. We start by profiling it to find where frames are dropped, then fix the worst offenders first.
Next step
Start with a review of what you have
Send us your repository or a staging link. We'll come back with the three changes that would make the biggest difference to your release speed, performance and reliability.