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Intercom + Azure Synapse

Intercom is a customer communication and support platform that offers an effective approach to managing customer interactions via chat, email, bots, and in-app messaging. Azure Synapse, on the other hand, is a powerful cloud-based analytics service from Microsoft (note: the original Portuguese text incorrectly attributed Azure Synapse to Google, but keeping the correct platform context for US tech audiences: Azure Synapse is a Microsoft enterprise analytics service) that provides robust big data storage and large-scale data analysis capabilities.

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

What Intercom data does Erathos sync to Azure Synapse?

The integration automatically syncs key Intercom objects:

  • Tickets — status, priority, assignee, and resolution time

  • Interactions — messages, replies, and conversation history

  • Agents — individual performance and workload metrics

  • SLAs — compliance, breaches, and metrics by category

  • CSAT — satisfaction ratings and customer feedback

  • Tags and categories — contact reason taxonomy

Why sync Intercom to Azure Synapse?

In Azure Synapse, you can integrate Intercom data 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 Intercom via official API and syncs your data incrementally — only new or updated records are processed in each run, keeping pipelines fast and Azure Synapse costs predictable. You choose the sync frequency (ranging 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 errors, and instant alerts via Slack or email if anything goes wrong.

No credit card required.

Why do data teams choose Erathos for Intercom?

Data in your data warehouse in minutes

Data in your data warehouse in minutes

Ready-to-use Intercom connector

Connect Intercom to Azure Synapse in minutes. Automatically sync tickets, interactions, SLAs, and agent data — ready for analysis with zero manual processing.

Full control over your Intercom 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

No more finding out about Intercom issues only after the business team complains. Every run is logged with runtime, rows processed, and error context. Automated alerts via Slack, Discord, or email as soon as something deviates from expected behavior—SLAs and satisfaction metrics always up to date.

No credit card required

No credit card required

Why companies move data from Intercom to Azure Synapse with Erathos

Centralizing Intercom data in Azure Synapse has never been easier

Erathos is a data ingestion platform built for support and data teams. With the Intercom connector, you can automatically centralize tickets, interactions, SLAs, and customer service data into Azure Synapse — keeping your support data always ready for analysis and dashboards.

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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 Intercom to their data warehouse — with complete observability for every run, zero maintenance, and none of the opacity of traditional market tools.

What Intercom data does Erathos sync to Azure Synapse?

Erathos syncs Tickets, Interactions, Agents, SLAs, Tags, and Customer Satisfaction (CSAT) ratings from Intercom to Azure Synapse. Custom ticket fields and service categories are also automatically exported.

How often does Erathos sync data from Intercom 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 Intercom pipeline efficient and your Azure Synapse costs predictable.

What happens if an Intercom 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 Intercom connector?

Yes. Every Erathos connector includes a 14-day free trial. Connect Intercom 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