Trigger Engine
Real-time automation with CDC, Kafka, webhooks, and schedules. React to data changes instantly, no polling—fully managed, SQL-first trigger engine.
Real-time triggers—CDC, Kafka, webhooks, schedules—fully managed
Event-driven automation at scale
CDC, Kafka, webhooks, schedules, reverse ETL—all in one trigger engine.
Real-Time Triggers
CDC (Change Data Capture), Kafka events, webhooks fire instantly—no polling delays. React to data changes in sub-second latency.
CDC Triggers
Monitor database tables (Snowflake, BigQuery, Databricks). Trigger workflows on INSERT, UPDATE, DELETE—real-time data synchronization.
Kafka Integration
Subscribe to Kafka topics, process events in real-time. Filter messages, trigger workflows, push to destinations—unified event processing.
Scheduled Triggers
Cron-based scheduling for recurring workflows. Daily reports, hourly syncs, custom schedules—reliable automation without infrastructure.
Reverse ETL
Push data to Salesforce automatically. CDC-triggered syncs, field mapping, retry failed records—operational analytics without manual exports.
Audit & Reliability
Every trigger execution logged. Track success/failure, retry failed runs, audit trail—never lose events, always know what happened.
Why teams choose Fastero for automation
Real-time, not polling. Unlimited executions. SQL-first. Fully managed.
React to Data Changes Instantly
CDC and Kafka triggers fire in real-time—no polling every 15 minutes like Zapier. Sub-second latency from database change to workflow execution.
Automation Without Infrastructure
No Airflow servers, no Python DAGs, no Kubernetes setup. Fully managed trigger engine—SQL-first configuration, zero infrastructure overhead.
Unlimited Executions, No Per-Task Pricing
Unlike Zapier, trigger executions are usage-based (not per-task). Run millions of triggers without surprise bills—pay for compute, not tasks.
Never Lose Events
Trigger logs track every execution. Audit trail shows who created/modified triggers. Retry failed Reverse ETL syncs—reliability built-in.
Event-Driven Trigger Flow
Event Occurs
Row inserted in orders_table (CDC), Kafka message arrives, cron schedule fires
Condition Evaluated
SQL condition checked (e.g., WHERE amount > 1000). If true, proceed to action.
Action Executed
Run workflow, execute query, push to Salesforce, send webhook—automated action triggered instantly.
How it works
Event occurs → condition evaluated → action executed. Instant automation without infrastructure.
Real-Time, Not Polling
CDC and Kafka triggers fire instantly when data changes—no 15-minute polling delays. Sub-second latency from event to action.
SQL-First Configuration
Define triggers with SQL conditions, not JSON workflows. No Python DAGs, no YAML—query-first automation for data teams.
Fully Managed Infrastructure
No Airflow servers, no Kubernetes. Trigger engine scales automatically—focus on logic, not infrastructure.
Real-world use cases
Data Engineer
Real-Time Data Sync
CDC trigger on orders_table fires when new rows inserted. Automatically push high-value orders to Salesforce—ops team sees new deals instantly, no batch jobs.
Analytics Engineer
Automated Reporting
Schedule trigger runs daily revenue report at 9am. Execute query, export to CSV, email to executives—no manual exports, fully automated.
ML Engineer
Model Retraining Pipeline
Kafka trigger on model_metrics topic fires when model accuracy drops. Automatically retrain model, deploy new version—ML ops without manual intervention.
Common questions
What trigger types are supported?
CDC (Change Data Capture) on database tables, Kafka event streams, HTTP webhooks, and cron schedules. Triggers fire workflows, execute queries, or push to destinations.
How do I configure triggers?
Use UI forms to select trigger type (CDC, Kafka, webhook, schedule), configure source (table, topic, URL), set conditions (SQL expressions), and define actions (run workflow, execute query).
What happens if a trigger fails?
Trigger logs track every execution with success/failure status and error messages. For Reverse ETL, failed syncs land in the Dead Letter Queue where you can retry them.
What reverse ETL destinations are supported?
Salesforce sync with field mapping, upsert mode, and retry for failed records. Use custom webhooks to push to any HTTP API.
How are triggers priced?
Usage-based pricing (compute, not per-task). Unlike Zapier, run millions of trigger executions without per-task charges—pay for compute used.
Can I see trigger execution history?
Yes—trigger logs show execution history with timestamps, duration, status, and error messages. View payload data and retry failed runs from the UI.
Ready to automate your data pipelines?
Real-time triggers (CDC, Kafka, webhooks). Reverse ETL to Salesforce. Scheduled workflows. Unlimited executions—start free, no credit card required.