A new approach to Big Data.
Virgil’s Grid grew out of years spent working with large, complex data sets. The work moved between different types of databases, architectural improvement, normalisation, frameworks, and distributed technologies. Each system offered a different way to store and process information, but the real challenge was always the same: helping people find the part of the data that matters to them, without overwhelming database with unnecessary data.
That is why I created vGrid for myself. Instead of loading everything at once, it presents data in small, useful chunks—only as much as a person needs and a browser can comfortably handle. You can sort, filter, choose columns, and explore details when they become relevant, without losing sight of the wider picture.
The next level of working with big data is usability. Start by asking colleagues what they actually need, then shape the grid around that answer. There is no reason to add an expensive join or expose every field when it will not help the person using it. vGrid is designed to stay flexible, so each user can dynamically configure it to retrieve exactly the information they need.