FalconVis enables you to explore millions (or even billions) of data entries with no interaction delay.
With a large amount of data, cross-filtering is painfully slow. When you filter one visualization, the other visualizations take a while to update. The filtering lag disrupts the whole cross-filtering experience!
FalconVis removes the latency from where it matters (the cross-filtering user interaction) and puts it where latency doesn't matter (before interaction).
FalconVis computes the Falcon data index right before you interact with a view. As you filter the view, we use the index to instantly compute the counts for all other views. The result is smooth interaction at any scale.
We take the same D3 visualizations from their live demo, but using FalconVis instead with more than 10x the data (from ~260,000 to 3,000,000). We use a parquet file loaded into the DuckDB WASM in-browser database in this example.
Try out the live demo below!
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