Difference Between Platform Events and REST API
Platform Events:
- Platform events are designed for a pub/sub model, where publishers send messages (events) and subscribers receive them. This allows for loosely coupled integrations, where systems don't need to know about each other's internal workings.
- They are used to notify subscribers about specific events happening in Salesforce, such as record changes or custom events.
- Platform events are processed asynchronously, meaning the publisher doesn't wait for a response from the subscriber. This can improve performance and scalability.
- Publishing a platform event when a high-value opportunity is created, or when a customer's address changes.
- They follow a publish-subscribe model. A publisher sends an event, and any number of subscribers can listen for and react to that event.
- Platform events are designed to handle a high volume of messages, making them suitable for large-scale integrations.
- Real-time monitoring, custom notifications, and triggering actions in external systems.
REST APIs:
- REST APIs are based on a request-response model, where a client sends a request to a server, and the server sends back a response.
- REST API calls are typically synchronous, meaning the client waits for the server to process the request and send back a response.
- They are used for performing CRUD (Create, Read, Update, Delete) operations on Salesforce data, as well as retrieving data.
- Retrieving account information, updating a contact record, or creating a new case.
- REST APIs offer more flexibility in terms of the data that can be sent and received, making them suitable for complex data interactions.
- Integrating with external systems, building custom user interfaces, and automating data processes.
Key Differences Summarized:
Feature | Platform Events | REST APIs |
---|---|---|
Architecture | Event-driven (pub/sub) | Request-response |
Communication | Asynchronous | Synchronous |
Purpose | Notifications, real-time updates | Data manipulation, retrieval |
Complexity | Simpler for notifications | More complex for data operations |
Scalability | High volume, scalable | Can be less scalable with high volume |
Use Cases | Real-time monitoring, custom notifications, triggering actions in external systems | Integrating with external systems, building custom user interfaces, automating data processes |
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