No-code pipeline · Webhook → SQL Server

Send data from Webhook to SQL Server

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From Webhook to SQL Server: managed, scheduled, no code.

Creating a pipeline that sends data from Webhook to SQL Server databases takes only a few minutes with Kondado. And the whole integration from Webhook to SQL Server is managed and executed by our platform. With Kondado, you can focus on extracting value from Webhook data and combining it with other data in your SQL Server database

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Send Webhook Data to SQL Server Automatically

Sending Webhook data to SQL Server requires configuring your external applications to push event streams to Kondado’s dedicated ingestion endpoint, which then validates and structures the incoming payloads for your database. This reverse API approach eliminates the complexity of building polling infrastructure while ensuring your SQL Server instance receives clean, structured data ready for immediate analysis. You maintain complete control over update frequencies, choosing intervals from every five minutes to daily schedules based on your specific business requirements and data velocity needs.

Once configured, the pipeline operates continuously, appending new Webhook events to your SQL Server tables as they arrive from your connected applications. You can then join this event data with existing warehouse tables to create comprehensive datasets for reporting and business intelligence.

Kondado enables direct replication between Webhook and SQL Server that captures raw JSON payloads complete with request identifiers and timestamps, automatically creating normalized tables in your database without requiring manual schema definition or custom ETL development.

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The Post raw JSON pipeline captures complete Webhook payloads including the __kdd_request_body field containing your original JSON data, alongside metadata fields like __kdd_request_id and __kdd_request_unix_timestamp for precise request tracking. This structure enables you to build custom SQL queries that parse nested JSON objects within SQL Server, creating derived tables for event analytics, user behavior tracking, or transaction monitoring without altering your existing application code. You can combine these Webhook events with data from other sources in your SQL Server environment to build comprehensive reports in Power BI or Looker Studio, correlating incoming events with historical warehouse data for complete business intelligence.

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Replicated to SQL Server

Webhook data available for SQL Server

Tables Kondado writes into your SQL Server, on a schedule you control.

available pipeline

extractable fields

SQL Server

Destination

Available integrations

Post raw JSON

This table includes fields such as __kdd_request_id, __kdd_request_unix_timestamp, and __kdd_request_body, enabling the logging of requests and their data in JSON format.

See all available data → Send Webhook to SQL Server →

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How to send Webhook data to SQL Server

Sync data automatically — no code, no manual exports.

Connect Your Webhook Source

Create a new Webhook data source in Kondado to generate your unique ingestion endpoint URL, then configure your external application to send POST requests to this address.

Configure SQL Server Destination

Enter your SQL Server connection credentials including server address, database name, and authentication details to establish the target location where your Webhook data will be stored.

Select Pipelines and Schedule

Choose the Post raw JSON pipeline from the available options and set your preferred update frequency, selecting from intervals between five minutes and daily based on your data processing requirements.

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Send data from Webhook to other destinations

Webhook > Looker Studio

Webhook > Power BI

Other visualizations

Webhook > Amazon S3

Webhook > BigQuery

Webhook > Excel

Webhook > Google Sheets

Webhook > MySQL

Webhook > PostgreSQL

Webhook > Redshift

Webhook > SQL Server

Choose a tool to visualize your Webhook data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Webhook > Airtable

Webhook > Alteryx

Webhook > Amazon Quicksight

Webhook > BIMachine

Webhook > Cortex

Webhook > Data Studio

Webhook > Geckoboard

Webhook > Grafana

Webhook > IBM Cognos Analytics

Webhook > Klipfolio

Webhook > Looker Studio

Webhook > Looker

Webhook > Looqbox

Webhook > Metabase

Webhook > Microstrategy

Webhook > Pentaho

Webhook > Power BI

Webhook > Qlik Cloud Analytics

Webhook > Qlik Sense

Webhook > Qlik

Webhook > QlikView

Webhook > Redash

Webhook > Superset

Webhook > Tableau

Webhook > BI TOTVS

Webhook > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Webhook data to SQL Server automatically

How does Webhook to SQL Server replication work in Kondado? ▼

Your applications send HTTP POST requests to a unique Kondado endpoint URL, which queues and processes the JSON payloads before loading them into your SQL Server tables on your chosen schedule. Unlike traditional API connections that pull data, this reverse API approach pushes data directly to Kondado, making it ideal for event-driven architectures and immediate data capture.

What specific data fields are available when replicating Webhook to SQL Server? ▼

The Post raw JSON pipeline provides four fields: __kdd_request_id for unique request tracking, __kdd_request_unix_timestamp for precise timing, __kdd_request_body containing your full original JSON payload, and standard metadata columns. This structure preserves your original data format while adding system fields that help you track data lineage and processing order within SQL Server.

How often does Kondado update Webhook data in SQL Server? ▼

Kondado replicates Webhook data to SQL Server on a configurable schedule that you control, with options ranging from every five minutes to hourly or daily intervals. You can adjust these frequencies based on your data volume and analysis needs, ensuring your SQL Server tables stay current without overwhelming your database with constant writes.

Can I combine Webhook data with other sources in my SQL Server database? ▼

Yes, once your Webhook data resides in SQL Server, you can join it with data from over 80 other sources supported by Kondado, including PostgreSQL, BigQuery, or cloud applications. This enables you to create unified datasets that correlate Webhook events with historical CRM records, financial data, or inventory systems for comprehensive analysis.

What format is Webhook data stored in within SQL Server? ▼

Webhook data arrives in SQL Server as structured relational tables with JSON preserved in text or varchar columns within the __kdd_request_body field. You can use SQL Server's native JSON functions to parse and transform these payloads into separate columns or tables, enabling flexible querying while maintaining the original event structure for audit purposes.

Do I need to define the database schema manually for Webhook data? ▼

No, Kondado automatically creates the necessary table structure in SQL Server when you activate the pipeline, defining appropriate columns for the request metadata and JSON body fields. This no-code approach eliminates manual schema definition and ETL development, allowing you to start receiving data immediately while retaining the option to customize table structures later as your needs evolve.

Can I send Webhook data to SQL Server and visualization tools simultaneously? ▼

Yes, after replicating Webhook data to SQL Server, you can connect the same data to Power BI, Looker Studio, or Google Sheets for timely reporting. This multi-destination approach ensures your raw data remains in SQL Server for complex querying while business users access curated views in their preferred analytics platforms.

Try out all the features for free for 14 days

Related on Kondado

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