Zoho CRM APIs GraphQL and COQL When to use which

Zoho CRM APIs GraphQL and COQL When to use which


Hello everyone,

Welcome to another week of Kaizen.

This Kaizen post discusses Zoho CRM GraphQL APIs and COQL APIs and is meant to be a decision guide on selecting between them. It aims to help developers to choose the most efficient approach in different scenarios.

To better understand how these two approaches differ in real-world usage, let’s look at some practical examples and how the same requirements can be achieved using both COQL and GraphQL.

 Practical Examples with Queries 

 Example 1: Filtered Data Retrieval 

  1.  Requirement : Fetch all Deals where Stage = "Closed Won"
  2.  Better Approach : COQL
  3.  Reason : COQL handles filtering and pagination in a more simple and straightforward way.  


 GraphQL

COQL


{

Records {

Deals {

_data {

  id{value}

  Deal_Name {value}

  Amount{value}}}}}



{

"select_query": "SELECT id, Deal_Name, Amount FROM Deals WHERE Stage = 'Closed Won' LIMIT 200"

}

 

 Example 2: Related data from Deal, Contacts and Accounts modules 

  1.  Requirement : Fetch Deals along with related Contact and Account details
  2.  Better Approach: COQL
  3.  Reason: COQL is preferred for its simplicity and efficiency in standard relationships.

GraphQL

COQL


{

Records {

  Deals {

  _data {

   id{value}

   Deal_Name {value}

   Amount{value}

  Stage {value}

  Account_Name {

  Account_Name {value}

  Industry {value}

  }

  Contact_Name {

    Full_Name {value}

   Email {value}

}}}}}

{

"select_query" : "select id, Deal_Name, Amount, Stage,Account_Name,Contact_Name.Full_Name from Deals where Stage = 'Closed Won'"

}

 

 

 Example 3: Fetching Contacts and Accounts data along with metadata  

  1.  Requirement : Where related data and meta data is to be fetched to design a custom dashboard. This is discussed in details in Kaizen 149 .
  2. Better Approach : GraphQL
  3. Reason : All the relevant information can be picked with a single API call.

 Example 4: Incremental Data Sync 

  1. Requirement : Fetch records modified after a certain timestamp
  2. Better Approach : COQL
  3. Reason : While GraphQL can also be used in this scenario, it does not benefit from GraphQL's strengths.

GraphQL

COQL


{

Records {

Deals(where: { Modified_Time: { less_than: "2025-01-01T00:00:00+05:30" } }) {

_data {

  Modified_Time {value}

  id {value}

  Deal_Name {value}

  Amount {value}

}}}}



{

"select_query": "SELECT id, Deal_Name, Modified_Time FROM Deals WHERE Modified_Time < '2025-01-01T00:00:00+05:30'"

}

 

 

 Example 5: Flexible UI Data Needs 

  1.  Requirement : A dashboard that requires unrelated data in the UI. For example, a dashboard that needs:
    1. Recent Deals
    2. Top revenue Contacts
    3. Open High-priority Tasks
  1.  Better Approach : GraphQL
  2.  Reason : GraphQL allows multiple unrelated datasets to be fetched in a single request, reducing API calls and improving performance for UI-driven dashboards. Achieving the same using COQL will need three separate queries  

GraphQL

COQL

​

{

Records {

Deals(limit: 5, order_by: { Closing_Date: { order: DESC } }) {

_data {

 Deal_Name {value}

 id {value}

 Amount{value}

 Closing_Date {value}

}}

Accounts(limit: 5, order_by: { Annual_Revenue: { order: DESC } }) {

_data {

 Annual_Revenue {value}

 Account_Name{value}

 id {value}

}}

Tasks(

limit: 5

where: { Status: { equals: "Not Started" }, Priority: { equals: "High" } }

order_by: { Due_Date: { order: ASC } }

) {

_data {

 Due_Date {value}

 Subject {value}

 Status {value}

 Priority {value}

}}}}

​

​

{

"select_query": "SELECT id, Deal_Name, Amount, Closing_Date FROM Deals where id is not null ORDER BY Closing_Date DESC LIMIT 5"

}

----
{

"select_query": "SELECT id, Account_Name, Annual_Revenue FROM Accounts where id is not null ORDER BY Annual_Revenue DESC LIMIT 5"

}

---
{

"select_query": "SELECT Subject, Status, Priority, Due_Date FROM Tasks WHERE Status = 'Not Started' AND Priority = 'High' ORDER BY Due_Date ASC LIMIT 5"

}

 

 

 

 Key Takeaways 

Both GraphQL and COQL are purpose-built tools. The choice depends on the data access pattern, not preference. Many successful implementations use both together.

Rather than asking “Which one should we use?”, a better question is: “What does this use case need?” Answer that and the right choice becomes clear.

Idea