Executive Summary

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.

Executive Summary

Market Opportunity

Inspect and visualize Parquet / GeoParquet files instantly in the browser targets a $12.0B = 200,000 mid-large enterprises x $60,000 average annual spend on analytics & developer tooling total addressable market with medium saturation and a year-over-year growth rate of 18% (data tooling & analytics market expansion; geospatial analytics growing faster).

Key trends driving demand: Columnar-format standardization -- Parquet is the de-facto storage format across data lakes, driving need for lightweight explorers.; In-browser compute (WASM + Arrow) -- enables client-side parsing and visualization without backend compute costs or data egress.; Geospatial analytics growth -- GeoParquet and location-first analysis are expanding across industries (logistics, utilities, gov).; Query-at-edge tooling (DuckDB/Athena) -- users want fast iteration tools before committing to queries or jobs..

Key competitors include DuckDB, Amazon Athena (plus S3 console previews), Databricks, kepler.gl, parquet-tools / web Parquet viewers (parquet.tools and various OSS CLI viewers).

View Plans

Inspect and visualize Parquet / GeoParquet files instantly in the browser

Executive Summary

Inspect and visualize Parquet / GeoParquet files instantly in the browser

Executive Summary

Market Validation

Market Opportunity

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