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Connect PostHog to Azure SQL

Connect PostHog to Azure SQL and export selected accounts, metrics, and dimensions to your Azure SQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a PostHog API pipeline.

Used by the world's leading companies

Export PostHog data to Azure SQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize PostHog data in Azure SQL

Bring all your PostHog data into your warehouse and make it available for analytics, machine learning, and internal applications.

Data freshness

Keep your AzureSQL tables up to date

Automatically sync new data from PostHog so every dashboard, model, and report works with fresh information.

Analysis

Unify PostHog with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

PostHog metrics and dimensions available in Azure SQL

Access 1 metrics and 41 dimensions from PostHog connectors including Records, Event Name, Event Time, UTM Campaign, UTM Source, UTM Medium, Current Url, Pathname, Referrer, Country Code, City, Device Type, Browser and many more...

1

Metrics availables

41

Dimensions availables

Connect PostHog to Azure SQL in minutes

Move your data from PostHog to Azure SQL with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your PostHog account

Authenticate your PostHog account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Client A · Connected sources
5 sources ready
PostHog 3 advertising accounts Connected
Google Ads 2 advertising accounts Connected
Google Analytics 4 1 web property Connected
HubSpot 1 CRM portal Connected
Step two

Choose the AzureSQL destination

Enter the Azure SQL server host, database, and login details. Catchr verifies the destination before any marketing data is exported.

Destination / Azure SQL Required fields
Host Required
catchr-reporting.database.windows.net
Username Required
catchr_loader
Password Required
••••••••••••
Database Required
marketing_reporting
Step three

Keep your AzureSQL tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your AzureSQL table.

Export job / Azure SQL Example
Schema Destination
dbo
Table Per job
meta_ads_daily
Recurring schedule Choose a cadence
Every 6 hours
Daily · 06:00
Weekly · Mon
Export readySelected fields · configured history
Every 6 hours

PostHog.sql
BigQuery SQL
30-day window
Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Connect more table to your PostHog data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

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Before you schedule the job.

Answers about AzureSQL setup, available source data, schedules, table updates, and SQL use cases.

How do I connect PostHog to Azure SQL with Catchr?

Register PostHog with an API key and the base URL for your US, EU, or self-hosted instance, save your Azure SQL connection details, then pair both systems in a datastream. You can preview the selected columns before writing them to an Azure SQL table.

Which PostHog fields can I export to Azure SQL?

You can select PostHog event fields such as Records, UTM Campaign, Date, Hour of the day, Week of the year, and Year month. Rename the chosen columns as needed, preview the schema, and write it to your Azure SQL table.

Can I load historical PostHog events into Azure SQL on a recurring schedule?

A PostHog job can begin with a historical event fetch and continue on a recurring schedule. Available history and frequency depend on the PostHog API and your Catchr plan.

How does Catchr update existing PostHog event data in Azure SQL?

Select the PostHog Date field when configuring the Azure SQL job. Catchr deletes and rewrites the scheduled date window, helping limit duplicate event rows across overlapping runs.

What reports can I build from PostHog data stored in Azure SQL?

Use Records to count exported PostHog events and group them by UTM Campaign, Date, hour, week, month, quarter, or year. Save the query as an Azure SQL view so analysts and reporting tools can reuse consistent campaign and event summaries.

Does my Azure SQL database need to exist before I connect it?

Yes. Connect an existing Azure SQL  database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Azure SQL  database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ? 

Our teams is always here to responds to any question you could have about our data connector.