What Is Salesforce Platform Cache and When Should Developers Use It?

Introduction

If you are new to Salesforce development, you must have heard about slow page loads and repeated database calls. This is where Platform Cache comes in to help. Many students who join Salesforce Online Classes get confused between cache and normal data storage, so this guide will clear that confusion in simple words.

Platform Cache is a layer of memory where data can be stored temporarily. It is vital to note that this layer of memory will be used for temporary storage only and not for storing data on a persistent basis. This means that your actual records are still in the database, but you are creating a copy of frequently used data.

Why Does Platform Cache Exist?

Every time your code queries a database, it costs time and system resources. If thousands of users hit the same query, the system slows down badly. Platform Cache solves this by storing frequently used data in a fast, temporary space. Once data sits in cache, your application reads it directly and skips the heavy database round trip.

This is especially useful for data that does not change often, like:

• Product catalogues or price books

• User configuration settings

• Reference lists used across multiple pages

• Results of complex calculations that repeat often

What Are the Key Benefits of Salesforce Platform Cache?

Before going deeper into types and use cases, it helps to see the benefits in one place. Developers rely on Platform Cache because it gives:

• Faster access to frequently used data

• Fewer repeated database queries

• Lower processing overhead on each transaction

• Better application response time for end users

• Reduced need for repeated external callouts when the cached response is still valid

These benefits together are the real reason experienced developers add caching logic to performance-heavy applications.

Types of Platform Cache

There are two main types of Platform Cache, and each one behaves differently. Students preparing for a Salesforce Certification Course should remember this table, since exam questions often test this exact concept.

Feature	Org Cache	Session Cache
Scope	Shared across the whole organisation	Tied to a single user session
Duration	Data expires based on its configured expiration setting, and can also get evicted early if space is needed.	Data lasts only while the session stays active
Best Use Case	Shared reference data, config values	User-specific temporary data, like shopping cart items
Who Can Access	All users and processes in the org	Only the user who created that session
Storage Cost	Counted against org-wide cache allocation	Counted against session cache allocation

Choosing between these two depends on your actual business need. If data belongs to everyone, use org cache. If data belongs to one user only, session cache fits better.

When Should Developers Actually Use It?

Platform Cache is not always needed. The wrong use of this feature will lead to wasting allocated memory and creating trouble in the future. Here are useful scenarios where this technology is really required:

1. Repeated Queries on Static Data: If your application repeatedly fetches some picklist values or settings, cache them once and then reuse them.

2. Heavy Computation Results: If a long calculation process leads to obtaining some results, cache the results instead of repeating the calculation process every time.

3. Cross-Session Sharing: If your organisation has several users who have to share some dataset, the org cache helps you to avoid multiple requests to the database.

4. Reducing Repeated External Callouts: If your integration repeatedly sends some request to the external system, the cached response can help you to reduce the number of callouts.

A real-world example: imagine an e-commerce application created using Salesforce and where categories of products are shown on every page. In such a case, rather than fetching categories from the database on every page refresh, this list is stored in org cache and thus loaded instantly without any load on the database.

A Simple Platform Cache Workflow

Here is how a typical caching workflow looks in practice:

• Check if the required data already exists in Platform Cache.

• If it exists, read the value directly and skip the database call.

• If it doesn't exist, run the query and store the result in cache for next time.

• Set an expiration or refresh logic, so old data doesn't stay forever.

This simple pattern, sometimes called "cache-aside," is one of the most common workflows developers use across many programming environments, not just Salesforce.

Common Mistakes Students Make

Many learners taking Salesforce Training in Noida or other cities often misuse cache without understanding its limits. Some frequent mistakes include:

• Placing sensitive information in cache without checking for proper access rights

• Failing to invalidate cache when records related to it get updated

• Misusing session cache for storing data meant to be available organisation-wide

• Neglecting cache size restrictions, thereby resulting in allocation errors

• Considering cache as persistent storage rather than a transient one

Avoiding these mistakes comes with practice and real project exposure, not just theory reading.

Platform Cache vs Apex Variables vs Salesforce Database

Beginners often ask why not just use a normal Apex variable instead of cache. The answer lies in scope, persistence, and where the data actually belongs.

Point	Apex Variable	Platform Cache	Salesforce Database
Lifespan	Only lives while the code runs	Exists past one transaction, but still temporary	Permanent until the deletion of the record
Shared Access	Not shared among multiple users or processes	Could be shared in an organisation or per session	Shared throughout the organisation with sharing rules
Performance Impact	Cannot optimise repetitive database calls	Reduces repetitive calls greatly	Dependable, but slow in repetitive identical read calls
Right Use Case	Temporary calculation within a function	Frequently used, not important, short-lived data.	Important data that has to remain accurate and permanent

This difference is exactly why experienced developers keep permanent records in the database, and use cache only as a performance layer on top.

Conclusion

Platform Cache is not a complicated concept once you understand its purpose. It exists to reduce load, speed up response time, and improve user experience, without replacing your actual data storage. Developers who master when and how to use org cache versus session cache write faster, cleaner applications.

Do it on a small scale: implement this technique for a single repeated search in your practice project, and see the difference in its performance. True learning is always experimental in nature, not theoretical. Once you see how much faster it runs, this idea will be with you forever.