Your Low-Code Platform Is Fast Until a Customer Builds One Real Table
The demo table had 412 rows. It loaded in under a second. Everyone in the room nodded. Eight months later, that same customer's work order table had 4.1 million rows. The list view took fourteen seconds to draw its first page. The customer's operations manager opened a support ticket with one sentence: "The system is slow." The interesting part is not that a platform got slow. It is where it got…
The story illustrates how a low-code platform performs well in demos but becomes slow in production as customer data grows. The demo table with 412 rows loaded in under a second, but the same customer's work order table with 4.1 million rows had a list view that took 14 seconds to load. The key issue is where abstraction converges, and list views are where all the platform's features meet: field definitions, relationships, permissions, workflow status, computed columns, saved filters, sort order, and user-defined important records.
In a demo, all these layers are simple, but in production, they become complex. The performance issue arises from filter translation, permission-aware filtering, showing related fields, and sorting/computed columns. These complexities make the platform slow at scale. The solution involves compiling views ahead of time, making permission filters cheap, admitting different engines for list views and data exports, and being truthful in the interface about performance.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
