Difference between SOQL and SOSL in Salesforce

The main difference between SOQL and SOSL in Salesforce is the way each language finds data. SOQL  is used when you know the object and fields you want to query, while SOSL is used when you need to search a text value across one or more objects and searchable fields.

Use SOQL for precise record retrieval, filters, relationship queries, sorting, grouping, and aggregate queries. Use SOSL for keyword-style search, such as searching a name, phone number, email address, or phrase across Contacts, Leads, Accounts, and custom objects at the same time.

SOQL in Salesforce: record queries with SELECT

  • SOQL stands for Salesforce Object Query Language.
  • SOQL retrieves records by using the SELECT keyword.
  • A SOQL query normally starts from one main sObject in the FROM clause, such as Account, Contact, Opportunity, or a custom object.
  • SOQL can return a list of sObject records, a single sObject record, or aggregate results, depending on the query.
  • SOQL is the better choice when the object, fields, and filter condition are known.
  • SOQL supports WHERE, ORDER BY, LIMIT, relationship queries, semi-joins, anti-joins, and aggregate functions such as COUNT(), SUM(), and GROUP BY.
  • SOQL can be used in Apex classes, triggers, anonymous Apex, Developer Console Query Editor, Salesforce APIs, and other supported Salesforce tools.
  • SOQL is not a full SQL replacement. It is Salesforce-specific and does not support every SQL feature, such as arbitrary joins between unrelated objects.

SOSL in Salesforce: text search with FIND

  • SOSL stands for Salesforce Object Search Language.
  • SOSL retrieves matching records by using the FIND keyword.
  • SOSL is designed for full-text search across searchable fields.
  • A single SOSL search can return records from multiple objects, such as Contact, Lead, Account, and custom objects.
  • In Apex, an inline SOSL query returns a List<List<SObject>>. Each inner list contains the results for one object type in the same order as the objects listed in the RETURNING clause.
  • SOSL is useful when the user enters a search term but you do not know exactly which object or field contains the value.
  • SOSL can be used in Apex classes, triggers, anonymous Apex, the Developer Console Search Query Editor, and supported Salesforce APIs.
  • Not every Salesforce field is searched in the same way. Searchability depends on object type, field type, permissions, indexing, and the SOSL clauses used.

SOQL vs SOSL comparison table for Salesforce developers

Point of comparisonSOQLSOSL
Full formSalesforce Object Query LanguageSalesforce Object Search Language
Main keywordSELECTFIND
Best suited forFetching records from a known object with known fields and filtersSearching a text term across multiple objects or fields
Object scopeOne main object in the FROM clause, with relationship query supportMultiple objects can be listed in the RETURNING clause
Return type in ApexList<SObject>, a typed list such as List<Contact>, a single record, or aggregate resultsList<List<SObject>>
Search styleStructured query with exact fields, filters, and conditionsFull-text search using Salesforce search indexes
Common use caseGet active Accounts in a region, retrieve Opportunities by Stage, count Cases by StatusSearch “Acme” across Account, Contact, and Lead records
FilteringStrong filtering with WHERE, comparison operators, date literals, and relationship fieldsCan filter returned object results, but the main purpose is text search
Performance patternWorks best when filters are selective and indexed fields are used where possibleWorks best for broad text search where the search term is indexed and object scope is controlled

When to use SOQL and when to use SOSL in Apex

Choose SOQL when your logic already knows the object and field names. For example, use SOQL when a trigger needs related Contacts for the Accounts in Trigger.new, or when a controller needs Opportunities for a specific Account Id.

Choose SOSL when your logic is closer to a search box. For example, use SOSL when a user types “Maria” and the application should search Contacts, Leads, and Accounts together instead of running separate queries for each object.

  • Use SOQL for known object + known field + structured filter.
  • Use SOSL for unknown object or field + text search term.
  • Use SOQL when you need aggregate functions, relationship traversal, or precise sorting.
  • Use SOSL when the same keyword may appear in names, emails, phone fields, or text fields across different objects.
  • Avoid using multiple SOQL queries as a replacement for one well-scoped SOSL search when the requirement is truly text search.

SOQL example for a known Contact email field

In this SOQL example, the object is known as Contact and the field is known as Email. This is a structured lookup, so SOQL is the correct choice.

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SELECT Id, Name, Email
FROM Contact
WHERE Email = 'maria@example.com'
LIMIT 10

The query returns Contact records that match the email condition. In Apex, you can store the result in a typed list.

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List<Contact> contacts = [
    SELECT Id, Name, Email
    FROM Contact
    WHERE Email = 'maria@example.com'
    LIMIT 10
];

SOSL example for searching Contacts, Leads, and Accounts

In this SOSL example, the application searches for a term across multiple objects. The exact object that contains the value is not known in advance, so SOSL is a better fit.

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FIND 'maria*'
IN ALL FIELDS
RETURNING Contact(Id, Name, Email), Lead(Id, Name, Email), Account(Id, Name)

In Apex, SOSL returns a list of result lists. The first inner list below contains Contact results, the second contains Lead results, and the third contains Account results because that is the order used in the RETURNING clause.

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List<List<SObject>> searchResults = [
    FIND 'maria*'
    IN ALL FIELDS
    RETURNING Contact(Id, Name, Email), Lead(Id, Name, Email), Account(Id, Name)
];

List<Contact> contacts = (List<Contact>) searchResults[0];
List<Lead> leads = (List<Lead>) searchResults[1];
List<Account> accounts = (List<Account>) searchResults[2];

SOQL and SOSL governor limits to remember

SOQL and SOSL are both subject to Salesforce governor limits. The exact limits can vary by context and Salesforce release, so always confirm the current values in the official Salesforce limits documentation before designing bulk code.

  • In a synchronous Apex transaction, the standard SOQL query limit is commonly 100 queries.
  • In an asynchronous Apex transaction, the standard SOQL query limit is commonly 200 queries.
  • The standard SOSL statement limit in one Apex transaction is commonly 20 statements.
  • The total number of records retrieved by SOQL queries in one transaction is commonly limited to 50,000 rows.
  • The total number of records retrieved by one SOSL query is commonly limited to 2,000 records.
  • Queries inside loops can quickly exceed limits. Collect Ids first, then run one bulk SOQL or SOSL statement outside the loop.

For reference, Salesforce publishes the SOQL and SOSL reference, the SOSL syntax reference, and the Apex governor limits.

Common SOQL and SOSL mistakes in Salesforce Apex

  • Using SOQL for a search-box requirement: If the user enters free text and the value may be in several objects, a scoped SOSL query is usually cleaner than several separate SOQL queries.
  • Using SOSL when the field is already known: If the requirement is “find Contact by Email,” SOQL is usually more precise.
  • Assuming SOSL searches every field: SOSL searches searchable fields based on Salesforce search behavior. Field type, object support, visibility, and indexing matter.
  • Forgetting the SOSL return structure: Apex SOSL returns List<List<SObject>>, not one flat list.
  • Running queries inside loops: Both SOQL and SOSL should be written in bulk-safe Apex code.
  • Ignoring selectivity: SOQL filters on large objects should be selective where possible, especially in triggers and batch logic.

SOQL and SOSL syntax side by side

The syntax difference is easy to remember: SOQL asks Salesforce to select fields from an object, while SOSL asks Salesforce to find a term and return matching objects.

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-- SOQL pattern
SELECT field1, field2
FROM ObjectName
WHERE fieldName = 'value'

-- SOSL pattern
FIND 'searchTerm'
IN ALL FIELDS
RETURNING ObjectName(field1, field2)

SOQL and SOSL in Salesforce FAQs

Is SOSL faster than SOQL for text searches?

SOSL is usually the better option for broad text searches because it uses Salesforce search indexes and can search multiple objects at once. It is not automatically faster for every requirement. If you already know the object and field, a selective SOQL query can be more precise and efficient.

What is the full form of SOQL and SOSL?

SOQL stands for Salesforce Object Query Language. SOSL stands for Salesforce Object Search Language.

How do you use a SOSL query in Salesforce?

A SOSL query starts with FIND, then defines where to search, and usually uses RETURNING to specify the objects and fields to return. Example: FIND ‘Acme*’ IN ALL FIELDS RETURNING Account(Id, Name), Contact(Id, Name).

What are the main limitations of SOQL in Salesforce?

SOQL is limited by Apex governor limits, row limits, query character limits, and supported syntax. It is not the right tool for searching an unknown text value across many objects and fields. SOQL also does not support arbitrary SQL joins between unrelated objects.

Can SOQL and SOSL be used in Salesforce triggers?

Yes. SOQL and SOSL can be used in Apex triggers, but they must be bulk-safe. Do not place queries inside loops, and always design the trigger for multiple records in the same transaction.

Editorial QA checklist for this SOQL vs SOSL tutorial

  • Confirm that SOQL is described as a structured record query language that uses SELECT.
  • Confirm that SOSL is described as a full-text search language that uses FIND.
  • Check that the tutorial does not say SOQL is unavailable in triggers.
  • Check that the tutorial does not say SOSL works on only one object.
  • Verify that every new code block uses a PrismJS-compatible language class.
  • Review governor-limit values against the latest Salesforce documentation before any major update.
  • Make sure all examples are bulk-safe when copied into Apex logic.