Confluence + Azure SQL Server
Erathos connects your Atlassian Confluence wiki directly to Azure SQL Server. The native connector authenticates with your site subdomain and an Atlassian API token, then syncs spaces, pages, blogposts, attachments, footer and inline comments, labels, and tasks into relational tables, preserving how spaces, pages, and nested content relate to each other.
Once loaded, Confluence data lives inside the Microsoft ecosystem your team already runs: query it with familiar SQL tooling, feed Power BI dashboards, and keep wiki analytics close to your Azure Data Factory workloads, without manual exports.
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Move data in a few clicks
Connect your source
Authenticate your account and you're done. 100+ ready-made connectors, no code required.
Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
Consolidating Confluence data in Azure SQL Server has never been easier
Erathos is a data ingestion platform built for teams that need reliability, visibility, and control. With the Confluence connector, you can automatically move spaces, pages, blogposts, comments, labels, and tasks into Azure SQL Server, with full observability into every run and zero maintenance.
Data in your database in minutes
Confluence connector ready to use
Connect Confluence to Azure SQL Server in minutes with our native connector. Authenticate with your site subdomain and an Atlassian API token, then sync spaces, pages, blogposts, attachments, comments, labels, and tasks automatically, with no code required.
Learn moreTotal control over your Confluence pipelines
Configure schedule, frequency, and sync type at the table level. Most Confluence streams run as full refresh, while streams like tasks sync incrementally with a createdAt cursor, and smart UPSERT keeps your Azure SQL tables consistent for Power BI and the rest of your Microsoft stack.
Learn moreEnd-to-end observability
Stop finding out about failures only when the business team complains. Every run is logged with runtime, processed rows, and error context. Automatic alerts via Slack, Discord, or email as soon as anything goes off track.
Learn moreBuilding data-driven stories
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
Other paths for your data
Other destinations for Confluence
Other sources that land in Azure SQL Server
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect their SaaS tools, such as Confluence, to their analytics destinations, without the maintenance cost of in-house pipelines or the opacity of traditional ETL tools. Setup takes minutes: name the connection, enter your Confluence site subdomain, and paste an Atlassian API token generated in your Atlassian account. Our customers reduce pipeline maintenance by up to 80%.
Spaces, pages, blogposts, attachments, footer and inline comments, labels, and tasks, plus nested structures like page versions, likes, properties, space permissions, space roles, and classification levels. That is over 60 streams, delivered with their relationships preserved so the data is ready for joins on arrival.
You can configure sync frequency at the table level, from every 5 minutes up to once per day. Most Confluence streams run as full refresh, while streams that support it, such as tasks, sync incrementally with a createdAt cursor, so each run processes only what changed.
Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full execution context, not just 'job failed.' Smart retries handle transient errors, and every run is logged so your team can debug in minutes, not hours.
Yes. Every Erathos connector includes a 14-day free trial. Connect Confluence to Azure SQL Server and start syncing immediately, no credit card required.