Definition
Change Data Capture is a development concept or tool within the Salesforce platform that developers use to build custom functionality. It extends the platform's capabilities through code, configuration, or integration with external systems.
Real-World Example
Consider a scenario where a developer at Quantum Labs is working with Change Data Capture to build a custom solution that extends the platform beyond its standard capabilities. They write clean, bulkified code for Change Data Capture, add comprehensive test coverage, and deploy it through a CI/CD pipeline. The new functionality handles 10,000 records without hitting governor limits.
Why Change Data Capture Matters
Change Data Capture (CDC) is a Salesforce feature that records changes to Salesforce data in near-real-time and makes those change events available for external systems to consume. Unlike polling-based integrations that repeatedly query Salesforce to find what changed, CDC publishes change events only when data actually changes, dramatically reducing API calls and latency. This matters deeply in modern Salesforce orgs because it enables true event-driven architecture, allowing external applications, middleware, and downstream systems to stay synchronized with Salesforce without the overhead of traditional batch processing or constant API queries. CDC works with standard and custom objects, capturing field-level changes, and delivers this information through Change Data Capture event channels that external consumers can subscribe to.
As organizations scale beyond a few thousand records, the cost and performance impact of constant polling integration patterns becomes prohibitive. Without Change Data Capture, teams resort to scheduled batch jobs that run hourly or daily, creating data staleness windows where external systems operate on outdated information. This creates real business problems: marketing automation platforms miss leads for hours, financial systems post transactions late, and customer service tools show stale data. Change Data Capture eliminates these gaps by publishing changes immediately, ensuring systems stay synchronized in real-time. When CDC is not properly implemented in a high-volume org, integration teams often resort to inefficient workarounds like custom SOAP/REST polling, massive batch jobs that consume valuable API governor limits, or worse—manual data reconciliation efforts that don't scale.
How Organizations Use Change Data Capture
- Vertex Financial Services — Vertex implemented Change Data Capture to stream Account and Opportunity changes to their data warehouse in real-time, replacing a nightly batch job. When a loan officer updates an opportunity's probability or amount, CDC immediately publishes the change event, allowing their analytics team to reflect accurate pipeline metrics within seconds rather than waiting 16+ hours. This reduced their data reconciliation issues by 94% and enabled their executive dashboard to display true current state for board meetings.
- Prism Healthcare — Prism uses Change Data Capture to synchronize patient Contact records and custom Medical_Encounter__c objects to their EHR system instantly. Previously, EHR data lagged 2-3 hours behind Salesforce, causing care coordinators to call on outdated information. With CDC feeding change events to their middleware layer, patient status updates in Salesforce appear in the EHR within 100ms, improving care coordination and reducing duplicate testing by 28%.
- Catalyst Supply Chain — Catalyst configured Change Data Capture to monitor Order__c records and feed events to their inventory management system and third-party logistics platform. When an order's quantity_requested__c or status__c changes, CDC captures the change and automatically triggers warehouse picking optimization and carrier notifications. This eliminated manual order-sync spreadsheets and reduced fulfillment cycle time from 6 hours to 45 minutes by enabling truly automated, event-triggered workflows across their entire supply chain ecosystem.