SOQL vs SOSL – Which Salesforce Query Should You Use?

I’ve seen plenty of developers and admins get stuck trying to decide between SOQL vs SOSL when they’re first building out a new feature. It’s one of those things that seems simple on the surface, but if you pick the wrong one, you’ll end up with slow page loads or hitting governor limits faster than you can blink. Choosing the right tool for the job is really about knowing whether you’re looking for a needle in a haystack or trying to count every piece of hay in the barn.

Understanding the basics of SOQL vs SOSL

The short answer? SOQL is for when you know exactly where your data lives. If you need to pull specific fields from the Account object where the industry is ‘Tech’, you’re going to use SOQL every single time. It’s structured, predictable, and lets you do things like count records or sum up opportunity amounts. I’ve found that for 90 percent of my daily dev work, SOQL is the go-to because we usually want that precision.

But here’s the thing: SOQL can get slow if you’re trying to search through massive amounts of text across different objects. If you have millions of records, you’ll want to look into managing large data volumes to keep your queries performant. SOQL only looks at one object at a time (unless you’re doing relationship queries), so it isn’t great for broad searches.

// This is a classic SOQL query
List<Account> techAccounts = [SELECT Id, Name, Industry FROM Account WHERE Industry = 'Technology'];

When to pick SOSL in the SOQL vs SOSL debate

Now, let’s talk about SOSL. Think of SOSL as the global search bar at the top of your Salesforce screen. You use it when you don’t know which object the data is on, or when you’re searching for a keyword across multiple text fields. If a user types “Acme” into a custom search box and you want to find that name in Accounts, Leads, and Contacts all at once, SOSL is your best friend.

One thing that trips people up is the return type. While SOQL returns a nice list of records, SOSL returns a list of lists. It’s a bit more annoying to parse in Apex, but the speed you get for multi-object text searches is worth it. Honestly, most teams get this wrong by trying to run four separate SOQL queries instead of one efficient SOSL search.

// Searching for 'Acme' across multiple objects
List<List<SObject>> results = [FIND 'Acme*' IN ALL FIELDS RETURNING Account(Name), Contact(FirstName, LastName), Lead(Company)];

Pro tip: SOSL is way faster for text searches because it uses a search index. If you’re building a custom search UI, don’t even bother with SOQL “LIKE” operators across multiple objects. Just use SOSL.

Key differences you need to know

  • Targeting: SOQL targets specific objects and fields. SOSL searches across multiple objects at once.
  • Data Types: SOQL works with all field types. SOSL is mostly for text, email, and phone fields.
  • Aggregates: You can use COUNT() and SUM() in SOQL. You can’t do that in SOSL.
  • Syntax: SOQL uses SELECT. SOSL uses FIND.

If you’re working within Flow, you’ll mostly be dealing with SOQL-based “Get Records” elements. However, if you’re writing custom Apex to fix a SOQL IN operator syntax error, keep in mind that SOSL has its own set of limits and rules. You can’t just swap one for the other without changing how you handle the results.

Which one should you use?

Look, it really comes down to the user experience. Are you building a report or a data-heavy table? Use SOQL. Are you building a “search everything” box? Use SOSL. I’ve seen teams try to force SOQL to act like a search engine by using wildcards everywhere, and it just kills performance once the org grows. Don’t be that person. Use the index-based power of SOSL for broad searches and keep SOQL for your precise data retrieval.

Key Takeaways for SOQL vs SOSL

  • Use SOQL when you know the object and need specific, filtered results.
  • Use SOSL when you need to search multiple objects for a specific keyword.
  • SOQL supports aggregate functions like MIN, MAX, and SUM; SOSL does not.
  • SOSL is generally faster for full-text searches in large datasets.
  • Always check your governor limits, as both languages have different caps on how many records they can return.

At the end of the day, mastering the choice between SOQL vs SOSL is about balance. Start with SOQL for your logic and data processing. Switch to SOSL when your users need to find information quickly across the entire org. It keeps your code clean and your users happy because they aren’t staring at a loading spinner for ten seconds.