WhatA high-performance streaming JSON transformation engine designed specifically for TB-scale newline-delimited JSON processing pipelines, with a simple declarative syntax.
SignalUsers processing terabyte-scale NDJSON files report that jq is too slow for even simple transformations like renaming fields, forcing them to write throwaway scripts in Node or Rust — indicating a real workflow gap where no existing tool handles the intersection of simplicity and performance at scale.
Why NowObservability and event-driven architectures have made NDJSON the de facto format for logs, traces, and streaming data, while data volumes continue to grow 25%+ annually.
MarketData engineers and platform teams at mid-to-large companies processing JSON logs/events; adjacent to the $30B+ data infrastructure market; competitors like DuckDB handle analytics but not streaming pipeline transformations.
MoatPerformance benchmarks and integration into CI/CD and data pipelines create switching costs; potential to build a hosted version with managed connectors.
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