Introduction
When you build modern applications—whether it’s fintech, eCommerce, SaaS platforms, or internal enterprise systems—your app must talk to other systems. And as a .NET developer, you’ll repeatedly encounter two integration patterns:
- APIs
- Webhooks
Both allow systems to communicate, but they serve completely different purposes.
Despite being simple concepts, both are deeply misunderstood by junior developers. Even in interviews, many candidates fail to explain the exact difference between them—not because they don’t know them, but because they don’t understand how they behave under load, how they affect architecture, or why real-time systems prefer one over the other.
This guide fixes that.
In this in-depth article, we’ll compare Webhooks vs APIs from a developer perspective, explore how data flows, how to design real systems using them, and finally, how to implement real-time data export to SQL Server using Webhooks in ASP.NET Core.
What is an API?
API stands for Application Programming Interface.
Think of APIs as the “Request → Response” model of communication.
You ask.
The server answers.
That’s it.
Simple Analogy
Imagine you’re hungry.
You call the restaurant and ask:
“Is my order ready?”
They check the kitchen and reply:
“Not yet.”
Two minutes later, you call again:
“Is it ready now?”
This is how APIs work.
You repeatedly pull information by making API calls.
How APIs Work (Technical Explanation)
When your application needs data, it makes an HTTP request such as:
GET /api/orders/123
POST /api/login
PUT /api/users/update
The server processes the request and sends back JSON/XML/etc.
API Workflow
Client → sends request → API Server → processes → returns response
This is synchronous or asynchronous, depending on implementation, but always client-initiated.
When APIs Are Useful
APIs are best for:
- Fetching data on demand
- Filtering or searching data
- CRUD operations
- User actions (login, update, delete)
- When frequency of data access is moderate
- When you need dynamic requests
Examples:
- Get all products
- Fetch weather data
- Get student details
- Search jobs
- Validate user login
API Limitations
The biggest issue with APIs:
The Server Does NOT Push Data
The server never calls you back.
You have to ask again and again, known as:
Polling
Polling = repeatedly calling API to check if something changed.
Example:
If you call an API every 1 minute:
1440 API calls per day
For 1,000 users, this becomes:
1,440,000 API calls/day
⚠️ This increases:
- API load
- Server cost
- Network usage
- Rate limit issues
Most real-time data requirements fail with polling.
What is a Webhook? (The Push-Based Event Model)
A Webhook is a server-to-server automatic callback.
The moment something happens, the other system pushes the data to you.
Analogy
This time, the restaurant calls you:
“Your order is ready. You can pick it up now.”
You didn’t call them at all.
This is how Webhooks work.
How Webhooks Work (Technical Explanation)
A Webhook provider sends an HTTP POST request to your endpoint when an event occurs.
Webhook Workflow
Event occurs in remote system
↓
Webhook triggers
↓
Sends POST request to your API endpoint
↓
Your system processes the data
↓
You respond with 200 OK
Everything happens instantly, automatically, without any polling.
When Webhooks Are Useful
Webhooks are perfect when you need real-time integration, especially:
✔ Payment success (Stripe, Razorpay, PayPal)
✔ Order creation (Shopify, WooCommerce)
✔ Code push (GitHub/Bitbucket)
✔ Lead creation (HubSpot, Zoho CRM)
✔ Ticket creation (Zendesk, Freshdesk)
✔ SMS delivery reports
✔ IoT event updates
Any event-driven system uses Webhooks.
Webhook Limitations
Webhooks require:
❌ Public endpoint
❌ SSL certificate
❌ More complex debugging
❌ Handling of retries
❌ Signature validation for security
But…
For real-time systems → Webhooks win totally.
Webhooks vs APIs: Technical Comparison for Developers
Below is a developer-grade comparison table:
| Feature | API | Webhook |
|---|---|---|
| Communication | Pull | Push |
| Who initiates? | Client | Server |
| Real-time | ❌ No | ✔ Yes |
| Server load | High (polling) | Low |
| Use-case | Fetch data | Receive events |
| Reliability | Stable | Requires retry design |
| Security | Token, OAuth | Signatures, hashing |
| Trigger | Manual call | Automatic event |
| Setup complexity | Low | Medium |
Why Webhooks Are Better for Real-Time SQL Export
Your manager asked you:
“Export real-time data to SQL using Webhooks in ASP.NET.”
Here’s why Webhooks are perfect for this.
API Approach: Why It Fails
Imagine you call API every minute to check new data.
Problems:
❌ Too many requests
❌ High cost
❌ No true real-time
❌ Rate limits
❌ Possible data duplication
For 10,000 records per day, polling becomes a nightmare.
Webhook Approach: Perfect Solution
Webhook pushes ONLY when new data arrives.
✔ No polling
✔ No wasted bandwidth
✔ Real-time inserts
✔ Low cost
✔ Scalable
✔ Perfect for event-driven SQL insert
Architecture: Real-Time Data Push to SQL Using Webhooks (ASP.NET Core)
Here is the full system design explained simply:
5.1 High-Level Architecture (Text Diagram)
External System (Provider)
│
▼
Webhook POST Request
│
▼
ASP.NET Core API Endpoint (/webhook/data)
│
▼
DTO Model Binding
│
▼
Data Validation + Signature Check
│
▼
Background Queue / Hosted Service
│
▼
SQL Server Insert
│
▼
Response 200 OK
5.2 Why Background Queue is Important
If your webhook performs heavy processing directly:
❌ Response is delayed
❌ Provider may retry
❌ Performance issues
Best practice:
✔ Receive instantly
✔ Acknowledge
✔ Process in background
ASP.NET Core has:
- BackgroundService
- Channel Queue
- Hangfire
- Azure Queue
- MassTransit
- Kafka (advanced)
.NET 8 / .NET 9 Webhook Implementation (Step-by-Step)
Now let’s write production-ready, senior-level code.
Step 1 — Create Controller
[ApiController]
[Route("webhook")]
public class WebhookController : ControllerBase
{
private readonly IBackgroundTaskQueue _queue;
public WebhookController(IBackgroundTaskQueue queue)
{
_queue = queue;
}
[HttpPost("data")]
public async Task<IActionResult> Receive([FromBody] WebhookPayload payload)
{
if (payload == null)
return BadRequest();
// Signature validation (optional example)
var signature = Request.Headers["X-Signature"].ToString();
if (!SignatureValidator.IsValid(payload, signature))
return Unauthorized();
// Add to background queue
await _queue.QueueBackgroundWorkItemAsync(async token =>
{
await ProcessWebhookAsync(payload);
});
return Ok(new { status = "received" });
}
}
Step 2 — Create DTO Model
public class WebhookPayload
{
public string EventType { get; set; }
public DateTime Timestamp { get; set; }
public OrderData Data { get; set; }
}
public class OrderData
{
public string OrderId { get; set; }
public string Customer { get; set; }
public decimal Amount { get; set; }
}
Step 3 — Background Task Queue
public interface IBackgroundTaskQueue
{
ValueTask QueueBackgroundWorkItemAsync(Func<CancellationToken, Task> workItem);
ValueTask<Func<CancellationToken, Task>> DequeueAsync(CancellationToken cancellationToken);
}
Step 4 — SQL Insert Logic
private async Task ProcessWebhookAsync(WebhookPayload payload)
{
using var conn = new SqlConnection(_config.GetConnectionString("Default"));
await conn.OpenAsync();
var query = "INSERT INTO Orders (OrderId, Customer, Amount, Timestamp) VALUES (@Id, @Cust, @Amt, @Time)";
await conn.ExecuteAsync(query, new
{
Id = payload.Data.OrderId,
Cust = payload.Data.Customer,
Amt = payload.Data.Amount,
Time = payload.Timestamp
});
}
Webhook Security: Must-Know Concepts for Developers
Webhook security is often ignored by juniors. In real enterprises, it’s not optional.
Signature Validation
The provider will generate a hash:
HMAC_SHA256(body + secret)
You verify it on your end.
IP Whitelisting
Only accept requests from specific provider IP ranges.
HTTPS Only
No HTTP allowed for production.
Retry Logic Awareness
Webhook providers retry when your endpoint fails.
Example:
1 minute → 5 minutes → 30 minutes → 1 hour
So your code must be idempotent.
Webhooks vs APIs: Real-World Use Cases in Enterprises
API Use Cases
✔ Login
✔ Fetching details
✔ Uploading data
✔ Searching data
✔ Pagination queries
Webhook Use Cases
✔ Payment success
✔ Shipment updates
✔ Stock alerts
✔ SMS delivery reports
✔ Workflow automation
✔ Lead creation
Performance Comparison (Under Load)
Scenario: 10,000 updates per day
API
- Poll every 30 seconds
- 2880 calls/day per user
- Server crash risk
- Rate limits
- High cost
Webhook
- Only 10,000 events
- Near 0 wasted calls
- Super scalable
Interview-Cracker Explanation (For Developers)
If asked in an interview:
“Explain API vs Webhook.”
Say this:
APIs are pull-based request-response operations where the client asks for data, while Webhooks are push-based event notifications where the server sends data automatically when something happens. APIs are good for CRUD operations and fetching data on demand, while Webhooks are ideal for real-time event-driven systems like payments, order updates, or notifications.
Conclusion
Both APIs and Webhooks are essential tools for modern software systems.
But they serve different purposes.
- Use APIs when your system needs data on demand.
- Use Webhooks when your system needs automatic real-time updates.
For your requirement—exporting real-time data to SQL through Webhooks in ASP.NET Core—Webhooks are the best and only scalable solution.
Your system becomes:
✔ Real-time
✔ Efficient
✔ Scalable
✔ Cost-effective
✔ Enterprise-ready
Let’s Connect
I hope this article about interview Questions on delegates in ASP.NET Core helps you grow in your .NET developer interview in 2025 and beyond. I regularly share coding resources, learning roadmaps, project ideas, and career tips across multiple platforms. If you found this helpful, consider following me and joining the Logic Lense community!
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