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Confluence + Azure SQL Server
Confluence is a collaboration platform for teams to create, share, and organize information in pages and spaces. Azure SQL Server, on the other hand, is a serverless Big Data solution developed by Google that provides robust capabilities for large-scale data storage and analytics.
With Erathos, you can integrate Confluence 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 directed toward what actually drives value — extracting valuable insights and making more data-driven decisions.
What Confluence data does Erathos sync to Azure SQL Server?
The integration automatically syncs the main Confluence objects:
Projects — status, assignees, dates, and settings
Tasks and subtasks — priority, status, estimates, and assignees
Sprints — dates, velocity, and planning data
Members — users, roles, and workload
Comments — history of discussions and decisions
Custom fields — properties and custom tags defined by the team
Why sync Confluence with Azure SQL Server?
In Azure SQL Server, you integrate Confluence data into the Microsoft ecosystem, using Power BI for executive dashboards and Azure Data Factory to orchestrate broader pipelines.
How it works
Erathos connects to Confluence via official API and syncs your data incrementally — only new or updated records are processed in each run, keeping pipelines fast and Azure SQL Server 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, errors with context, and instant alerts via Slack or email if anything goes wrong.
No credit card required.


Why do data teams choose Erathos for Confluence?
Ready-to-use Confluence connector
Connect Confluence to Azure SQL Server and automatically export tasks, projects, sprints, and members. Centralized productivity data for analysis — no CSVs, no scripts.
Total control over your Confluence pipelines
Configure schedule, frequency, and sync type at the table level. Erathos uses smart UPSERTs on Azure SQL Server, ensuring data consistency and native integration with Power BI and the Microsoft ecosystem.
End-to-end observability
Stop finding out about Confluence issues only after the business team complains. Every run is logged with execution time, rows processed, and error context. Get automatic alerts via Slack, Discord, or email as soon as something goes off track — with fresh productivity data always ready for your sprint reports.
Why companies move data from Confluence to Azure SQL Server with Erathos
Centralizing Confluence data into Azure SQL Server has never been easier
Erathos is a data ingestion platform for data and operations teams. With the Confluence connector, you can automatically export tasks, projects, sprints, and productivity data directly to Azure SQL Server — keeping your productivity data centralized and analytics-ready.
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.
Trusted by data-driven companies
Simplified data ingestion
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
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 Confluence to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.
What Confluence data does Erathos sync to Azure SQL Server?
Erathos syncs Projects, Tasks, Subtasks, Members, Sprints, Statuses, and Confluence Comments to Azure SQL Server. Custom fields, tags, and task dependencies created by the team are also exported.
How often does Erathos sync data from Confluence to Azure SQL Server?
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 the Confluence pipeline efficient and Azure SQL Server costs predictable.
What happens if a Confluence 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 Confluence connector?
Yes. Every Erathos connector comes with a 14-day free trial. Connect Confluence to Azure SQL Server and start syncing immediately — no credit card required.












