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Amplitude + Azure Synapse

Amplitude is a user behavior analytics platform for apps and websites, delivering data-driven insights to help companies grow. Azure Synapse, in turn, is a Microsoft Azure cloud service that brings together big data and data warehousing, making it possible to analyze large volumes of data from multiple sources using SQL-based analytics and machine learning.

With Erathos, you can integrate Amplitude data into Azure Synapse in just a few minutes. Our platform handles the entire data movement process into your analytics environment and lets you combine that data with other sources in your Data Warehouse. That way, your time goes where it really creates value — extracting actionable insights and making more data-driven decisions.

Which Amplitude data does Erathos sync with Azure Synapse?

The integration automatically syncs the main Amplitude 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 Amplitude with Azure Synapse?

Amplitude’s native dashboards are great for monitoring product metrics, but they make cross-functional analysis harder. In Azure Synapse, 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 Amplitude via the official API and syncs your data incrementally — only new or updated records are processed on each run, keeping pipelines fast and Azure Synapse costs predictable. You choose the sync frequency (from every 5 minutes to daily), which objects to sync, and the destination dataset. Every run is fully observable: runtime, processed rows, contextual error details, and instant alerts via Slack or email if anything goes wrong.

No credit card required.

Why do data teams choose Erathos for Amplitude?

Data in your data warehouse in minutes

Data in your data warehouse in minutes

Ready-to-use Amplitude connector

Connect Amplitude to Azure Synapse and automatically export events, metrics, and funnels. Always-fresh product data in your data warehouse—no manual engineering required.

Total control over your Amplitude pipelines

Configure frequency, sync type, and table distribution. Data arrives in Azure Synapse ready for analytical workloads and integration with Power BI.

End-to-end observability

No more finding out about Amplitude failures when the business team starts complaining. 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 Amplitude to Azure Synapse with Erathos

Centralizing Amplitude data in Azure Synapse has never been so simple

Erathos is a data ingestion platform built for product and analytics teams. With the Amplitude connector, you can automatically export events, product metrics, and conversion funnels to Azure Synapse—always-fresh data for your analyses, with no 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 Amplitude to their data warehouse—with complete observability into every run, zero maintenance, and none of the opacity of traditional market tools.

What Amplitude data does Erathos sync to Azure Synapse?

Erathos synchronizes Events, Sessions, Users, Conversion Funnels, and Product Metrics from Amplitude to Azure Synapse. Custom event properties and user properties are automatically exported along with each record.

How often does Erathos synchronize data from Amplitude to Azure Synapse?

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

What happens if an Amplitude 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 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 Amplitude connector?

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