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Hotjar + Azure Synapse

Hotjar is an online behavior analytics tool that provides insights into how users interact with websites, helping to optimize user experience and boost conversion rates. It uses heatmaps, session recordings, and feedback widgets to pinpoint areas for improvement. Azure Synapse, on the other hand, is a serverless Big Data solution developed by Microsoft that delivers robust data warehousing and large-scale data analytics capabilities.

With Erathos, you can integrate Hotjar data with Azure Synapse in just a few minutes. Our platform handles the entire data pipeline to your analytical environment, allowing you to blend these datasets with other sources inside your Data Warehouse. This frees up your time to focus on what actually drives value — extracting actionable insights and making data-driven decisions.








What Hotjar data does Erathos sync to Azure Synapse?

The integration automatically syncs all key Hotjar entities:

  • 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 conversion rates by segment

  • Cohorts — retention and engagement metrics over time

  • Custom Properties — event and user properties defined by your team

Why sync Hotjar data to Azure Synapse?

By loading your Hotjar data into Azure Synapse, you can seamlessly integrate it with the Microsoft ecosystem: Power BI for executive dashboards, Azure Data Factory for orchestration, and distributed analytics at enterprise scale.

How it works

Erathos connects to the official Hotjar API and syncs your data incrementally — meaning only new or updated records are processed during each run, keeping your pipelines fast and your Azure Synapse costs predictable. You choose the sync frequency (ranging from every 5 minutes to daily), select the entities you want to replicate, and define the destination dataset. Every run is logged with full observability: execution time, rows processed, error context, and instant alerts via Slack or email if anything goes wrong.

No credit card required.

Why data teams choose Erathos for Hotjar

Data in your data warehouse in minutes

Data in your data warehouse in minutes

Out-of-the-box Hotjar connector

Connect Hotjar to Azure Synapse and export events, metrics, and funnels automatically. Keep your product data fresh in your data warehouse — without manual pipeline engineering.

Full control over your Hotjar pipelines

Configure sync frequency and type per table. Data arrives in Azure Synapse integrated with the Microsoft ecosystem, Power BI, Azure Data Factory, and ML pipelines ready for use.

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.

No credit card required

No credit card required

Why companies migrate data from Hotjar to Azure Synapse with Erathos

Centralizing Hotjar data into Azure Synapse 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 Azure Synapse — keeping your data fresh for analysis with zero manual engineering.

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Our Customers

Writing data-driven stories

Writing data-driven stories

  • bruno-brick

    1

    bruno-brick

    Bruno Rosso

    Data Analyst

    brick-companylogo

    Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.

    bruno-brick

    10

    Luis Ribas

    CTO

    I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.

    bruno-brick

    11

    Sayuri Valente

    Project Manager

    The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.

    kaue-uooushop

    2

    kaue-uooushop

    Kauê Raizer

    Co-founder

    uooushop-companylogo

    Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.

    bruno-brick

    3

    Matheus Nunes

    CTO & Co-founder

    Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.

    bruno-brick

    4

    Fernando R.

    Head of Data

    Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.

    carlos-brick

    5

    carlos-brick

    Carlos Schwabe

    Co-Founder & CDO

    We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.

    bruno-brick

    6

    Fernando Costa

    CTO & Co-founder

    It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.

    thiago-brick

    7

    thiago-brick

    Thiago Paz

    CFO

    If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.

    felipe-uooushop

    8

    felipe-uooushop

    Felipe Corrêa

    CTO & Co-founder

    Uooushop-companylogo

    Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.

  • bruno-brick

    1

    bruno-brick

    Bruno Rosso

    Data Analyst

    brick-companylogo

    Every new source implementation, if I had to do it alone, would take me about two or three months. With Erathos, it's done in a few hours. I don't need a data engineer's skillset to deliver real value with company data.

    bruno-brick

    10

    Luis Ribas

    CTO

    I can describe my experience with Erathos as seamless; we had no major issues migrating from our old data pipeline platform. Their support is always impeccable, both in answering questions and resolving issues. I highly recommend them, without a doubt.

    bruno-brick

    11

    Sayuri Valente

    Project Manager

    The robustness and efficiency of Erathos's connectors—whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul—make the entire pipeline much faster and more reliable. The technical documentation is extremely well-crafted and intuitive, which greatly legacy simplifies implementation.

    kaue-uooushop

    2

    kaue-uooushop

    Kauê Raizer

    Co-founder

    uooushop-companylogo

    Centralizing our data with Erathos gave us a roadmap to structure the company: today, we can view NPS and churn in a consolidated way and use that to drive decisions. If I were to give advice to another founder, it would be: centralize your data from day one.

    bruno-brick

    3

    Matheus Nunes

    CTO & Co-founder

    Erathos revolutionized data management at WE. By integrating multiple SaaS platforms into a single DW, our engineering team can now focus on the core business. We implemented dashboards providing insights across all departments, enriching our data culture and streamlining decision-making.

    bruno-brick

    4

    Fernando R.

    Head of Data

    Erathos brought an incredible boost in productivity. With no worries about data ingestion, the team focused on strategy rather than pipeline maintenance. Implementing a new connector takes minutes, and the reliability is outstanding. It was one of the best decisions we've made.

    carlos-brick

    5

    carlos-brick

    Carlos Schwabe

    Co-Founder & CDO

    We used to have a lot of rework, but not anymore. Working this way is much more efficient. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.

    bruno-brick

    6

    Fernando Costa

    CTO & Co-founder

    It was impossible to run our operations on spreadsheets. Erathos was a perfect fit: they became the data engineer I didn't have. We managed to reduce analysis time, establish weekly data rituals, and, most importantly, trust the data we use.

    thiago-brick

    7

    thiago-brick

    Thiago Paz

    CFO

    If I didn't have this infrastructure, I would need three or four people to do what Erathos does today. I was able to drive real value from my data with a much leaner team than I ever imagined needing.

    felipe-uooushop

    8

    felipe-uooushop

    Felipe Corrêa

    CTO & Co-founder

    Uooushop-companylogo

    Erathos is essential for anyone looking for a quick go-live when centralizing data from multiple sources. We successfully integrated 6 different data sources in a single day, something that would have taken weeks without Erathos.

Trusted by data-driven companies

Simplified data ingestion

Move your data in minutes

Move your data in minutes

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

Frequently Asked Questions

Frequently Asked Questions

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 into every run, zero maintenance, and none of the opacity of traditional market tools.

What Hotjar data does Erathos sync to Azure Synapse?

Erathos syncs Hotjar Events, Sessions, Users, Conversion Funnels, and Product Metrics directly into Azure Synapse. Custom event properties and user properties are automatically exported along with each record.

How often does Erathos sync data from Hotjar to Azure Synapse?

You can configure the sync frequency from every 5 minutes to daily, at the table level. Erathos uses incremental syncs — only new or updated records are processed in each run, keeping your Hotjar pipeline efficient and Azure Synapse costs predictable.

What happens if a Hotjar sync 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 run is logged with runtime, rows processed, 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 Azure Synapse and start syncing immediately — no credit card required.

Data ingestion with control, observability, and scale

Data ingestion with control, observability, and scale