Export the events
GA4, PostHog, Segment and ad platform data exported to cloud storage or ingested directly, landing in Delta tables with stable schemas.
4.9 / 5Databricks integration for the data your website creates.
Databricks integration that brings website, product analytics and marketing data into your lakehouse, joined to the customers already there.
Selected work, in motion.
The digital experiences that connect to a wider business system.The website is a blind spot.
Most lakehouses know orders and accounts well, and know little about what happened on the website before them.
BeforeAfter
Web analytics stuck in GA4 or PostHogEvent exports landing in Delta tables every day
Anonymous visitors never linked to customersIdentity mapped from cookie to user to account
Tracking changes breaking downstream tablesData contracts agreed between web and data teams
Segments stuck in the warehouseAudiences sent back to your CRM and ad platforms
What's included
Web data, lakehouse ready.
We connect the tools your marketing and product teams run to the Databricks workspace your data team owns.
Map identities
Anonymous IDs, emails, user IDs and CRM IDs joined into one identity table, with rules for merges and conflicts written down.
Agree data contracts
Event names, properties and types agreed between the web and data teams, with checks that flag breaking changes before they ship.
Send data back out
Audiences and scores synced back to your CRM or ad platforms through reverse ETL, so the lakehouse drives action as well as reports.
Security, by consideration.
Trust is part of the build.
For your Databricks project, we consider data sources, workspace permissions, pipelines and downstream consumers as part of one connected build.
See our approachConnected systems. Considered safeguards.
Changes you can trace.
GitHub workflows, peer review and dependency checks bring decisions into the release process.
Protected in transit.
Certificate configuration, HTTPS and secure headers help protect the path between your users and your systems.
Intelligence with limits.
Scoped tool access, validated inputs and human approval where automated actions carry consequences.
Connect both teams.
The integration works when the web team and the data team agree on the contract.
- 01
Agree the contract
Events, identities and ownership agreed with web, marketing and data teams.
- Data contract
- Identity rules
- Source list
- 02
Build the exports
Exports, ingestion and identity tables built and tested against the contract.
- Event exports
- Identity table
- Contract checks
- 03
Activate and monitor
Segments synced back out and freshness monitored on every feed.
- Reverse syncs
- Freshness alerts
- Integration docs
Built for what’s next.
Built to driveMore sign-ups.
Built to driveMore memberships.
Built to driveBetter-qualified leads.
Built to driveMore qualified candidates.
Built to driveMore enquiries.
Built to driveMore qualified demos.
Built to driveMore workplace demos.
Built to driveMore business accounts.
Built to driveMore free trials.
Built to driveMore building owners.
Built to driveMore free sign-ups.
Private Villas MexicoBuilt to driveMore direct bookings.
Built to driveMore committed players.
Built to driveMore returning customers.
Built to driveMore meaningful demos.
Built to driveBetter talent connections.
Built to driveMore course creators.
Built to driveMore product discovery.
Trusted across our practice
Working together. In their words.
Independent reviews. Long-term working relationships.
“After a website (re)launch, they are also always accessible and happy to help. I highly recommend everyone who is looking for a new and more stable website in Webflow, to work with Stega!”
“We’ve been working with Stega & Gabriel for the last two years. Cannot recommend them enough. They’re responsive, professional & an asset.”
“Stega Creative team not only understood our needs and vision for the websites, but they also came up with improvements.”
Databricks integration questions.
A few things worth discussing before your Databricks integration takes shape.
How do you match anonymous website visitors to customers in Databricks?
Anonymous website visitors are matched to customers in Databricks through an identity table that links cookie IDs, user IDs, emails and CRM IDs. Links are created when a visitor signs up, logs in or submits a form. We document merge rules, so one person is never counted as two or two as one.
Can PostHog send data to Databricks?
PostHog can send data to Databricks through batch exports to cloud storage such as S3, which Databricks then ingests with Auto Loader. We set up the export, the ingestion and a clean events table, so product analytics data sits beside orders and accounts in the lakehouse.
What is a data contract in a Databricks integration?
A data contract in a Databricks integration is an agreement on what each event or table contains: names, fields, types and owners. Contracts stop a website change from silently breaking pipelines. We write them with both teams and add automated checks that run against every release.
How much does a Databricks integration project cost?
Cost depends on the number of sources, how complex identity matching is and whether data flows back out to other tools. Your Databricks compute is billed separately by Databricks, and we estimate it during scoping.
Revamp today.The 
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Your ambition. Our collective craft.
Strategy, design and technology, working as one.