Reverse ETL
Reverse ETL copies modeled data from a warehouse or lake into operational systems such as CRM, support, and marketing tools through their APIs. It closes the loop so analytics tables drive in-app segmentation, sales alerts, and lifecycle campaigns.
Technical Architecture & Deep-Dive
Traditional ETL loads SaaS and app data into a warehouse. Reverse ETL pushes curated dimensions and metrics back to tools like HubSpot, Intercom, or Salesforce so business users work with the same definitions analysts built in SQL.
These sync jobs hammer rate limits and require rotating API keys. An edge proxy can batch writes, respect idempotency, and map warehouse rows to vendor-specific payloads while schedulers call one stable endpoint.
Key Architectural Benefits
Implement Reverse ETL at the Edge
Deploy lightweight API aggregation, edge caching, and secret injection in minutes without Docker containers or complex servers.
Frequently Asked Questions
Q:How is reverse ETL different from CDC?
Change data capture streams row-level database changes in near real time. Reverse ETL typically runs scheduled batches from modeled tables into SaaS APIs.
Related Architecture Concepts
A webhook is an HTTP callback: when an event occurs in one system, it sends an HTTP POST with event data to a URL you register. Instead of polling an API repeatedly for changes, your application receives updates in real time, such as payment succeeded or ticket created events.
Event-driven architecture is a design approach where services communicate by producing and consuming events, such as order placed or subscription canceled, rather than calling each other synchronously. Consumers react to events independently, which decouples systems and improves resilience.
A read model API exposes JSON documents tailored for fast reads: denormalized fields, precomputed aggregates, and mobile-friendly shapes stored separately from the transactional write model. Updates arrive through jobs, CDC, or event handlers so clients fetch slim, stable contracts without joining many upstream services per request.
API orchestration is the coordination of multiple API calls in a defined sequence, where outputs from one step feed inputs to the next. An orchestrator manages ordering, dependencies, error handling, and the final response, so clients trigger a multi-step workflow with a single request.
Ready-to-Use Edge Recipes
To combine intercom with posthog user events, use one RealComposer pipeline with parallel steps. Intercom conversation list plus PostHog person properties in one payload. Your React app makes one request instead of several sequential upstream calls.
To merge salesforce contacts with hubspot crm one api, use one RealComposer pipeline with parallel steps. Parallel fetch Salesforce Contact and HubSpot CRM contact into one JSON object. Your Frontend / Web app makes one request instead of several sequential upstream calls.
To combine mailchimp audience with hubspot contacts, use one RealComposer pipeline with parallel steps. List membership from Mailchimp and CRM lifecycle stage from HubSpot. Your Frontend / Web app makes one request instead of several sequential upstream calls.