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.
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.
No credit card required.
Why do data teams choose Erathos over Hotjar?
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.
Full 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.
End-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.
Why Companies Move Data from Hotjar to Databricks with Erathos
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.
Our Customers
Trusted by data-driven companies
Simplified data ingestion
1
Select your data source
More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and create a streamlined path forward.
2
Setup your pipeline
Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.
3
Select your data warehouse
Choose between Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
FAQ
What is Erathos and how can it help my company?
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.
What Hotjar data does Erathos sync to Databricks?
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.
How often does Erathos synchronize data from Hotjar to Databricks?
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.
What happens if a Hotjar synchronization fails?
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.
Is there a free trial period for the Hotjar connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect Hotjar to Databricks and start syncing immediately—no credit card required.