Hotjar + Databricks
Hotjar is a behavioral analytics tool that provides insights into how users interact with websites, helping optimize the experience and increase conversions. It uses heatmaps, session recordings, and feedback to identify opportunities for improvement. Databricks, in turn, is a serverless big data platform that provides robust storage and large-scale data analytics capabilities.
With Erathos, you can integrate Hotjar data into Databricks in just a few minutes. Our platform handles the entire data movement process into your analytics environment and lets you blend that data with other sources in your Data Warehouse. That way, your time is focused on what really drives value — extracting actionable insights and making more data-driven decisions.
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Connect your source
Authenticate your account and you're done. 100+ ready-made connectors, no code required.
Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
Which Hotjar data does Erathos sync with Databricks?
The integration automatically syncs Hotjar's core objects:
- Events — all tracked events with custom properties
- Sessions — source, duration, device, and behavioral data
- Users — profiles, properties, and activity history
- Conversion funnels — steps, drop-offs, and rates by segment
- Cohorts — retention and engagement over time
- Custom properties — event properties and user properties defined by your team
Why sync Hotjar with Databricks?
Hotjar's native dashboards are great for monitoring product metrics, but they make cross-functional analysis harder. In Databricks, you can combine product events with CRM, payments, and marketing data — understanding retention by cohort, calculating LTV by segment, and uncovering the activation paths that best predict customer success.
How it works
Erathos connects to Hotjar via the official API and syncs your data incrementally — only new or updated records are processed on each run, keeping pipelines fast and Databricks costs predictable. You choose the sync frequency (from 5 minutes to daily), the objects to sync, and the destination dataset. Every run is logged with full observability: runtime, rows processed, context-rich errors, and instant alerts via Slack or email if anything goes wrong.
Centralizing Hotjar data in Databricks has never been easier.
Erathos is a data ingestion platform built for product and analytics teams. With the Hotjar connector, you can automatically export events, product metrics, and conversion funnels to Databricks—keeping your data always fresh for analysis, with no manual engineering required.
Data in your data warehouse in minutes
Hotjar connector ready to use
Connect Hotjar to Databricks and automatically export events, metrics, and funnels. Always-fresh product data in your data warehouse—no manual engineering required.
Learn moreFull control over your Hotjar pipelines
Configure frequency, sync type, and partitioning by table. Data arrives in Databricks ready for ML, analytics, and ad hoc queries—with predictable cost.
Learn moreEnd-to-end observability
Stop finding out Hotjar is broken only after the business team complains. Every run is logged with runtime, processed rows, and error context. Automatic alerts via Slack, Discord, or email the moment something goes off track — so your product metrics stay reliable for roadmap decisions.
Learn moreBuilding data-driven stories
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
Other paths for your data
Other destinations for Hotjar
Other sources that land in Databricks
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Hotjar to their data warehouse—with full observability for every run, zero maintenance, and none of the opacity of traditional market tools.
Erathos synchronizes Events, Sessions, Users, Conversion Funnels, and Product Metrics from Hotjar to Databricks. Custom event properties and user properties are automatically exported along with each record.
You can configure synchronization frequency at the table level, from every 5 minutes up to daily. Erathos uses incremental sync—only new or updated records are processed in each run, keeping the Hotjar pipeline efficient and Databricks costs predictable.
Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context—not just "job failed." Smart retries handle transient errors, and every execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.
Yes. Every Erathos connector includes a 14-day free trial. Connect Hotjar to Databricks and start syncing immediately—no credit card required.