Raw event access in irregular sliding-window stream processing
A managed event-stream processing service that supports irregular event triggers and exposes raw records from configurable sliding time windows directly to user-defined functions. It would provide stateful per-symbol windows, efficient eviction of expired events, vectorized access to window contents, replay and debugging tools, and connectors for market-data feeds and downstream systems.
The problem
Streaming market-data users need to run custom logic on every irregularly arriving tick while accessing all raw events within a time-based lookback window. Existing window functions often expose only aggregates such as averages or sums, forcing users to build cumbersome state-management workarounds or switch processing systems when they need the individual price and volume records.
Who feels this pain
Teams trying to turn raw data into a decision run into this often: A managed event-stream processing service that supports irregular event triggers and exposes raw records from configurable sliding time windows directly to user-defined functions. It would provide stateful per-symbol windows, efficient eviction of expired events, vectorized access to window contents, replay and debugging tools, and connectors for market-data feeds and downstream systems.
Why it matters
Decisions made on gut feeling instead of data cost real money over time.
Potential SaaS angle
A focused SaaS product built by turning this reporting gap into a clear dashboard could turn this into a real data analysis & reporting opportunity — there's already demand behind it.
