Change Data Capture & Asynchronous Apex Triggers in Salesforce

Author

Sattyam Choudhary

April 14, 2026

Introduction

If you’ve worked on Salesforce long enough, you’ve probably faced a frustrating issue, CPU timeout errors during complex transactions.

It usually happens when too much logic runs at once: validations, triggers, workflows, integrations everything bundled into a single transaction.

The good news? Salesforce provides a smarter, more scalable way to handle this:
Change Data Capture (CDC) + Asynchronous Apex Triggers

Together, they help you decouple heavy processing from real-time transactions, making your system faster, more reliable, and easier to scale.

Why Traditional Apex Transactions Fail

Whenever you create or update an SObject in Salesforce, it kicks off an Apex transaction.

This transaction includes:

Triggers
Workflows
Flows
Process Builder logic
Validation rules

Now imagine all of this running at once especially with complex business logic.

The result?

CPU time limit exceeded
Slow performance
Failed transactions

This is where asynchronous processing becomes essential.

What is Change Data Capture (CDC)?

Change Data Capture (CDC) is a real-time event streaming feature in Salesforce that tracks and publishes data changes.
Instead of processing everything instantly, CDC allows you to capture changes and process them separately.

Key Features of CDC

Captures create, update, delete, and undelete events
Publishes event messages with changed fields (delta changes)
Works with standard and custom objects
Enables real-time data replication to external systems

Think of CDC as a messenger system that notifies other processes whenever data changes.

What are Asynchronous Apex Triggers?

Asynchronous Apex Triggers (also called Change Event Triggers) are triggers that run after the database transaction is completed.

This means:

No impact on the original transaction
Reduced chances of hitting governor limits
Better performance for heavy logic

Unlike standard triggers, these run on Change Event objects, not directly on SObjects.

How CDC and Async Triggers Work Together

Here’s how the flow works in a real-world scenario:

A record is created/updated/deleted in Salesforce
CDC captures the change and publishes an event
The Change Event Trigger listens to this event
The trigger processes the logic asynchronously

This separation ensures your main transaction stays fast and error-free.

Example Use Case (Opportunity Automation)

Let’s say your business wants to:
Automatically create a follow-up task when an Opportunity is marked as Closed Won

How it works:

Enable CDC on the Opportunity object
Create a Change Event Trigger
Check if IsWon = true
Create a Task asynchronously

This ensures the task creation doesn’t slow down the Opportunity update process.

Key Considerations

Before implementing CDC and async triggers, keep these in mind:

Execution Behavior

Only supports after-insert triggers
Runs after database commit

Performance Limits

Still follows synchronous governor limits
No additional heap size or CPU boost

Event Processing

Can process up to 2000 events per batch
Multiple triggers can run independently

Integration Limits

Callouts to external APIs are not supported directly

Debugging

Use Automation Process in debug logs

CDC Limits

Limited objects in Developer Org (expandable via license)
Supported on most standard + all custom objects

When Should You Use CDC + Async Triggers?

This approach is ideal when:

You want to avoid CPU timeout errors
Your logic is resource-intensive
You need clean architecture and separation of concerns
You are building event-driven integrations
You want to scale without breaking transactions

Real-World Use Cases

Real-time data sync with external systems
Heavy calculations after record updates
Event-driven microservices architecture
Audit tracking and event logging
Post-transaction automation

Why This Approach Matters in 2026

Modern Salesforce architectures are moving toward:

Event-driven systems
Scalable integrations
Decoupled processing

Using CDC with asynchronous triggers aligns perfectly with these trends.

It’s no longer just an optimization it’s becoming a best practice for enterprise Salesforce development.

Handling heavy logic inside a single transaction is a common mistake that leads to performance issues and system failures.

Frequently Asked Questions (FAQs)

1. What is Change Data Capture (CDC) in Salesforce?

Change Data Capture (CDC) is a real-time event streaming feature in Salesforce that tracks changes made to records (create, update, delete, undelete) and publishes them as events for further processing or integration.

2. What are Asynchronous Apex Triggers in Salesforce?

Asynchronous Apex Triggers, also known as Change Event Triggers, execute after a database transaction is completed. They allow developers to process heavy logic separately without affecting the main transaction performance.

3. How do CDC and Asynchronous Apex Triggers work together?

CDC captures record changes and publishes events. Asynchronous Apex Triggers listen to these events and process logic in the background, ensuring the main transaction remains fast and efficient.

4. Why should I use CDC instead of traditional Apex triggers?

Traditional Apex triggers run within the same transaction and can hit CPU limits. CDC decouples processing, reducing the risk of timeouts, improving performance, and enabling scalable architectures.

5. Do Asynchronous Apex Triggers bypass Salesforce governor limits?

No, they still follow standard governor limits. However, since they run in a separate transaction, they reduce the load on the original process and minimize the risk of hitting limits.

6. Can CDC be used for real-time integrations?

Yes, CDC is ideal for real-time integrations as it streams data changes instantly to external systems, enabling event-driven architectures.

7. What are the limitations of Change Data Capture?

CDC has limits such as restricted object support in Developer Editions, event delivery limits, and no direct support for synchronous API callouts within triggers.

8. When should I use CDC and Async Apex Triggers?

You should use them when handling heavy processing, avoiding CPU timeouts, building scalable integrations, or implementing event-driven architectures.

9. Can I perform API callouts in Change Event Triggers?

No, direct callouts are not supported in Change Event Triggers. You’ll need to use other asynchronous methods like Queueable Apex or Platform Events for integrations.