Hotjar + Amazon S3
Hotjar is an online behavior analytics tool that provides insights into how users interact with websites, helping to optimize user experience and boost conversions. It uses heatmaps, session recordings, and feedback loops to identify areas for improvement. Amazon Redshift, on the other hand, is a cloud data warehouse designed for fast and efficient analysis of massive datasets.
With Erathos, your Hotjar data lands in Amazon S3 as organized, query-ready files, without your team having to write a single line of ETL code. This paves the way for querying via Athena or Spark and archiving your full historical data without the costs associated with a traditional data warehouse.
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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.
What Hotjar data does Erathos sync to Redshift?
The integration automatically syncs the core Hotjar objects:
- Events all tracked events along with custom properties
- Sessions source, duration, device, and behavioral data
- Users profiles, properties, and activity history
- Conversion Funnels steps, drop-offs, and conversion rates by segment
- Cohorts retention and engagement over time
- Custom Properties event properties and user properties defined by your team
Why sync Hotjar to Amazon S3?
In Amazon S3, your Hotjar data is stored in open formats, ready to be queried via Athena, Spark, or any analytics engine, without lock-in to a specific data warehouse.
How it works
Erathos connects to Hotjar via its official API and syncs your data incrementally: only new or updated records are processed in each run, keeping pipelines fast and Amazon S3 costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Every run is logged with full observability: execution time, rows processed, contextual error logs, and instant alerts via Slack or email if anything goes wrong.
Centralizing Hotjar data in Amazon S3 has never been easier
Erathos is a data ingestion platform built for marketing and data teams. With the Hotjar connector, you automatically centralize sessions, recordings, and behavioral data in Amazon S3 — always up to date, with full observability into every run and zero maintenance.
Hotjar data in Amazon S3 in minutes
Ready-to-use Hotjar connector
Connect Hotjar to Amazon S3 and automatically export data. Centralize engagement tracking data for analysis — no spreadsheets and no scripts.
Learn moreFull control over your Hotjar pipelines
Configure the schedule, frequency, and sync type at the table level. Configure partitioning, file format, and write frequency at the table level. The Iceberg format ensures ACID compliance and schema evolution — without full bucket rewrites.
Learn moreEnd-to-end observability
Stop finding out about Hotjar issues only when 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 data is always fresh for analysis.
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 Amazon S3
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 into every run, zero maintenance, and none of the black-box behavior you get from traditional market tools.
With Erathos, you centralize Hotjar data on views, likes, comments, reach, audience growth, and engagement in Amazon S3 for content analytics.
You can configure sync frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental sync—only new or updated records are processed on each run, keeping the Hotjar pipeline efficient and Amazon S3 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 run is logged with runtime, rows processed, 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 Amazon S3 and start syncing right away — no credit card required.