Inspect and visualize Parquet / GeoParquet files instantly in the browser

Many data engineers, analysts, geospatial specialists and developers at the estimated 200,000 mid-to-large enterprises that drive a $12.0B market waste time and incur cost trying to quickly inspect Parquet and GeoParquet files: current workflows often force them through heavy server-side compute, data platform onboarding, or expensive data egress just to answer basic questions about schema, column statistics or spatial extents. Parquet is already the de-facto storage format across data lakes and GeoParquet adoption is rising in logistics, utilities and government, so teams need a lightweight, fast way to triage files before committing to ETL, BI jobs or costly compute. A practical product is an in-browser Parquet/GeoParquet inspector built on WebAssembly + Apache Arrow that performs client-side parsing, schema introspection, per-column statistics, streamed sampling and map-first visualization with CRS-aware rendering and simple filtering/aggregation. It would open local files and cloud URIs without backend compute, use chunked streaming to handle hundreds of megabytes in the browser (with optional server-assist for multi-gigabyte workloads), and ship with integrations for S3/GS/ADLS, data catalogs and IDEs—an open-source core could accelerate adoption while premium enterprise features drive revenue. This opportunity is timely because format standardization, the maturation of in-browser compute, and growth in geospatial analytics align to create a large, addressable market (market score 92, revenue potential 86). The product’s strengths are instant, privacy-preserving inspection (no egress), low infra costs and focused GeoParquet fidelity, but realistic challenges include competition from existing cloud consoles and desktop tools (competition: medium), browser memory/CPU limits for very large files, and the need for tight enterprise integrations—making this a compelling yet execution-sensitive investment.