Atlassian Analytics vs eazyBI

[Preetha Peter]

Hi Community 👋

I read a detailed article about Atlassian Analytics and its capabilities around unified reporting, dashboards, AI-powered insights, and cross-product analytics. It looks very powerful, especially with the Atlassian Data Lake and external data sources.

That said, I’d like to understand how eazyBI (from the Atlassian Marketplace) fits into this picture.

Specifically:

• In what scenarios would eazyBI be a better choice than Atlassian Analytics?

• Are there reporting or customization use cases where teams still prefer eazyBI?

• How do performance, flexibility (MDX vs SQL), and cost typically compare?

• Is eazyBI commonly used alongside Atlassian Analytics, or do teams usually choose one over the other?

I’d really appreciate insights from anyone who has hands-on experience with both Atlassian Analytics and eazyBI, especially in Jira reporting scenarios. 

Thanks in advance for your guidance!

[Chris Peake]

It's been a while since I looked at both closely but here's my take.

eazyBI pros:

• Can embed reports/dashboards anywhere that supports iframes (Analytics can only embed to Confluence).
• Very easy to drill into underlying data for report debug.  Analytics requires you to create cross-chart links which can itself have bugs.
• Easier learning curve.
• Much easier report tweaking/modification once you have a base report in place.

Analytics pros:

• Dashboards have change history.
• Cross-chart connections.
• Dashboard performance information is provided.
• Easy markup/formatting of dashboards.
• Easy to toggle individual series on/off in a chart.