walkerOS vs trigger.dev
walkerOS: walkerOS is a robust, warehouse-native event collection layer designed to unify data tracking from various sources like browsers and dataLayers to multiple destinations including BigQuery and ad platforms. It offers features like config-as-code, consent management, and schema validation, making event data reliable and ready for AI agents via its Model Context Protocol (MCP).; trigger.dev: Trigger.dev is an open-source platform designed for building AI workflows and agents using TypeScript. It provides a robust environment for long-running tasks with built-in features like retries, queues, observability, and elastic scaling, eliminating typical serverless timeouts.
TL;DR
Unifying event collection for GA4, custom tags, and ad pixels.
Building and deploying long-running AI agents and complex workflows.
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