Why unified data aggregation is the next infrastructure layer

Five years ago, building a data product meant integrating with one or two sources. Today, teams routinely need data from dozens, or hundreds, of websites, APIs and files — each with its own rate limits, formats, and update cadence.

That fragmentation is the real bottleneck. It is not that raw data is hard to read; it is that reading it consistently across every source a product might touch is a full-time infrastructure job on its own.

This is the problem Fiuvi's Base Data layer was built to solve. Instead of maintaining a bespoke integration per source, we normalize enriched, categorized data into a single schema, so a query against one source returns the same shape of response as one from a brand-new integration.

The payoff shows up in coverage numbers: over 150 data sources and 2.3 million records resolve through one endpoint, which means product teams spend their engineering time on their product, not on integration plumbing.

As the number of sources keeps growing, we think aggregation — not another one-off connector — is where the next layer of data infrastructure gets built.