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YouTube Analytics + Azure SQL Server
YouTube Analytics aggregates performance metrics for YouTube channels and videos, used by creators and businesses to track audience and engagement.
With Erathos, you can integrate YouTube Analytics data into Azure SQL Server in just a few minutes. Our platform handles the entire data movement process to your analytical environment, allowing you to blend this data with other sources in your Data Warehouse. This way, your time is focused on what truly drives value: extracting key insights and making more data-driven decisions.
What YouTube Analytics data does Erathos sync with Azure SQL Server?
The integration automatically syncs the main YouTube Analytics objects:
Videos metadata and metrics for each published video
Views number of views and watch time
Subscribers growth and evolution of the channel's subscriber base
Engagement likes, comments, and shares
Revenue monetization metrics, where applicable
Why sync YouTube Analytics with Azure SQL Server?
In Azure SQL Server, you integrate YouTube Analytics data into the Microsoft ecosystem, leveraging Power BI for executive dashboards and Azure Data Factory for broader pipeline orchestration.
How it works
Erathos connects to YouTube Analytics via the official API and syncs your data incrementally—only new or updated records are processed in each run, keeping pipelines fast and costs predictable. You choose the sync frequency (from 5 minutes to daily), the objects to sync, and the destination dataset in Azure SQL Server. 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 data teams choose Erathos for YouTube Analytics
Out-of-the-box YouTube Analytics connector
Connect YouTube Analytics to Azure SQL Server in minutes. Automatically sync videos, views, and subscribers with zero code, fully ready for analysis.
Complete control over your YouTube Analytics pipelines
Configure schedule, frequency, and sync type at the table level. Erathos uses smart UPSERT in Azure SQL Server, ensuring data consistency and native integration with Power BI and the Microsoft ecosystem.
End-to-end observability
Stop finding out about YouTube Analytics pipeline failures only when the business team complains. Every execution is logged with run times, rows processed, and error contexts. Get automatic alerts via Slack, Discord, or email the moment something goes wrong, keeping your audience data and video performance metrics always up to date.
Why companies move YouTube Analytics data to Azure SQL Server with Erathos
Centralizing YouTube Analytics data in Azure SQL Server has never been easier
Erathos is a data ingestion platform for content marketing and media teams. With the YouTube Analytics connector, you can automatically export video, view, and subscriber data to Azure SQL Server, keeping your audience data and video performance metrics centralized and ready for analysis.
Our Customers
1
Bruno Rosso
Data Analyst
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.
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.
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.
2
Kauê Raizer
Co-founder
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.
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.
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.
5
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.
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.
7
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.
8
Felipe Corrêa
CTO & Co-founder
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.
1
Bruno Rosso
Data Analyst
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.
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.
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.
2
Kauê Raizer
Co-founder
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.
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.
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.
5
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.
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.
7
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.
8
Felipe Corrêa
CTO & Co-founder
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.
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Simplified data ingestion
1
Select your data source
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2
Setup your pipeline
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3
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FAQ
What is Erathos and how can it help my business?
Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like Youtube Analytics to their data warehouse, with complete observability of every run, zero maintenance, and none of the opacity of traditional market tools.
What YouTube Analytics data does Erathos sync to Azure SQL Server?
Erathos automatically and incrementally syncs Videos, Views, Subscribers, Engagement, and Revenue from YouTube Analytics to Azure SQL Server.
How often does Erathos sync Youtube Analytics data to Azure SQL Server?
You can configure the sync frequency from every 5 minutes to daily, at the table level. Erathos uses incremental sync, meaning only new or updated records are processed in each run, keeping your YouTube Analytics pipeline efficient and Azure SQL Server costs predictable.
What happens if a YouTube Analytics 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, rows processed, and error context, allowing your team to debug in minutes, not hours.
Is there a free trial for the YouTube Analytics connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect YouTube Analytics to Azure SQL Server and start syncing immediately, no credit card required.