May 25, 2022

Atlassian today announced the launch of its new Data Lake and Atlassian Analytics, a front end to Data Lake that allows customers to easily query all the data stored in the various Atlassian products they use. The new analytics service builds on the acquisition of data analysis and visualization service Chartio in early 2021.

In recent years, Atlassian has invested heavily in its core technology platform, which its cloud products now use. Part of this is the shared data store that links all of these products. Now, with the launch of Atlassian Data Lake and Analytics, users can create their own custom reports and dashboards in either Analytics or the Business Intelligence tool of their choice.

image credit: Atlas

Atlassian Analytics provides both a no-code interface and the ability to query data lakes using standard SQL queries. This gives non-technical users the ability to easily view their data with pre-built templates for common use cases, as well as customize them as needed. At the moment it only supports data from Jira Software and Jira Service Management, but plans to expand it to other services over time.

“Essentially, our history is rooted in local products during the first 10 years of our lives. Many of our customers who are accustomed to using server and data center products use databases to access the database directly, write SQL queries, and extract their data from it. When they entered the cloud world, they didn’t have symmetrical capabilities until we introduced Atlassian Data Lake. With Data Lake, they can now use the API and simply write SQL queries to get data from various Atlassian products,” Atlassian COO Anu Bharadwaj told me.

image credit: Atlas

She noted that many customers can track their work in Jira through its associated GitHub or Bitbucket pull requests, and then receive event tickets related to the recently tracked work in Jira Service Management. Bhardwaj explained, “With Data Lake, we really can’t say that for this job in Jira Software and this job in Jira Service Management, we will finally give you a common place to ask your question.”

Since you can also connect it to external data sources, Atlassian customers can also use it as a general business intelligence tool, but that’s not the primary purpose here. “When we built Data Lake and Atlassian Analytics, we started from a core principle: we wanted them to be extensible — we wanted them to be able to use third-party data,” said Bharadwaj. This may mean combining revenue data from third party data warehouses with technical data such as Jira Software. But the team is not trying to create a competitor for Tableau and wants it to be an open platform. In fact, it will soon provide the ability to access data from Atlassian Data Lake in other business intelligence tools such as Tableau or Microsoft Power BI for customers who have already invested in these tools.

These new tools are now available through the Early Access Program for existing Atlassian Cloud Enterprise Edition customers.

image credit: Atlas

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