EdgeMQ: easiest way to land data in S3 – POST JSON to an HTTP endpoint and receive Parquet files in your S3 bucket

Summary: EdgeMQ is a managed data ingestion platform that provides a secure HTTP endpoint to accept data from any source and deliver it into Amazon S3 as query-ready Parquet files. It eliminates the need for complex streaming infrastructure by compressing and structuring data automatically, enabling immediate use in analytics, reporting, or machine learning workflows.

What it does

EdgeMQ accepts data via HTTPS POST requests from applications, devices, servers, or third-party services and stores it durably before delivering compressed, typed Parquet files to your configured S3 bucket. It handles schema extraction and partitions data for direct querying with tools like Snowflake, Databricks, or DuckDB.

Who it's for

It is designed for teams needing reliable ingestion of event tracking, IoT sensor data, financial market data, webhook payloads, product analytics, or machine learning training datasets into S3 without managing streaming clusters or ETL pipelines.

Why it matters

EdgeMQ solves data loss during traffic spikes and reduces operational overhead by replacing complex streaming systems with a simple HTTP endpoint that guarantees durable, encrypted delivery of structured data to S3.