Mastering JavaScript Promises: Then/Catch vs Async/Await Explained

Ronak MathurRonak Mathur
4 min read

Introduction

Understanding the differences between 'then/catch' and 'async/await' is crucial for any frontend developer, as it allows us to comprehend asynchronous operations in JavaScript.

Brief overview of JavaScript asynchronous handling

Understanding how JavaScript manages asynchronous operations is crucial for working with async code.

Asynchronous operations in JavaScript enable the execution of code without blocking other code execution. It operates on a non-blocking architecture, meaning the next line of code continues to run without any issues.

The key difference between the then/catch and async/await lies in execution flow control.

Importance of understanding Then/Catch and Async/Await

then/catch Syntax uses method chaining to handle promise resolution and rejection, while async/await introduced in ES8 (2017), providing syntactic sugar that makes asynchronous code look and behave more like synchronous code.

While using the then/catch, JavaScript keeps executing the rest of the code even though the promise is still pending; on the other hand, with async/await the code execution pauses at each await keyword until the promise is settled. This creates a more synchronous-looking flow, making the code easier to read and understand.

Explanation of the .then() method

.then is a function that runs when the promise is resolved and receives the result

Explanation of the .catch() method

.catch is a function that runs when the promise executor fails or is rejected.

Example of using Then/Catch

function fetchUserData() {
  return fetch("/api/user")
    .then((response) => {
      if (!response.ok) {
        throw new Error("Network response was not ok");
      }
      return response.json();
    })
    .then((userData) => {
      console.log("User data:", userData);
      return userData;
    })
    .catch((error) => {
      console.error("Error fetching user data:", error);
      throw error;
    });
}

Example of using Async/Await

We’ll use the same example as above with async/await

async/await provides a more readable and linear structure.

// async/await approach
async function fetchUserData() {
    try {
        const response = await fetch('/api/user');
        if (!response.ok) {
            throw new Error('Network response was not ok');
        }
        const userData = await response.json();
        console.log('User data:', userData);
        return userData;
    } catch (error) {
        console.error('Error fetching user data:', error);
        throw error;
    }
}

Advantages of using Async/Await

There is not much difference between them in terms of performance optimization, but we can use async/await :

  • Writing new code in modern environments

  • Need clear, readable sequential operations

  • Debugging and maintaining code are a priority

  • Working with complex business logic that benefits from linear flow

  • Need better stack traces for error diagnosis

Comparing Then/Catch and Async/Await

Execution Flow and Difference

One major difference between async/await and .then()/catch() is the flow of code execution.
With .then() the rest of the synchronous code continues running immediately, while the promise handlers are scheduled in the microtask queue.
In contrast, async/await pauses the execution of the current async function until the awaited promise is resolved or rejected, making the code easier to read and reason about in a top-down, synchronous-like manner.
However, async/await Does not block the execution of other asynchronous code running elsewhere in the program.

Handling errors effectively

Error handling represents one of the most significant differences between the two approaches. The then/catch pattern uses the .catch() method to handle promise rejections, while async/await leverages familiar try/catch blocks that can handle both synchronous and asynchronous errors

When debugging complex asynchronous operations, async/await maintains better context in stack traces, making it easier to identify the source of errors. Promise chains can create confusing stack traces, especially with multiple .then() calls, making debugging more challenging.

// error handling in then/catch
function processData() {
  return validateInput()
    .then((input) => {
      return transformData(input);
    })
    .then((transformedData) => {
      return saveData(transformedData);
    })
    .then((result) => {
      return { success: true, data: result };
    })
    .catch((validationError) => {
      if (validationError.type === "VALIDATION_ERROR") {
        return { success: false, error: "Invalid input" };
      }
      throw validationError; // Re-throw other errors
    })
    .catch((error) => {
      console.error("Unexpected error:", error);
      return { success: false, error: "System error" };
    });
}

// error handling in async/await
async function processData() {
  try {
    const input = await validateInput();
    const transformedData = await transformData(input);
    const result = await saveData(transformedData);

    return { success: true, data: result };
  } catch (error) {
    if (error.type === "VALIDATION_ERROR") {
      return { success: false, error: "Invalid input" };
    }

    console.error("Unexpected error:", error);
    return { success: false, error: "System error" };
  }
}

Conclusion

Both .then()/catch() and async/await offer powerful ways to handle asynchronous operations in JavaScript, each with its strengths. The promise chain approach provides flexibility and is useful for simple or linear flows, while async/await offering a more readable, synchronous-like structure that simplifies complex logic and error handling. However, developers should be mindful that async/await it is not a silver bullet—its advantages in readability and debugging depend heavily on how well the code is structured. Choosing between the two ultimately comes down to the specific context, codebase complexity, and team preference. Mastering both patterns is essential for writing clean, maintainable asynchronous code.

Keep Learning, Keep Shining.

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Written by

Ronak Mathur
Ronak Mathur