Looking for a Confluence Marketplace app for enterprise reporting beyond native Databases

Marc-André Bouchard_dul78e

Hi everyone,

We’re trying to build an enterprise reporting setup in Confluence for finance / procurement / operations leadership, and I’m struggling to get there with native Databases.

Our source data doesn’t always come in a clean CSV. In some cases it comes from Excel exports, and in others from JSON payloads with nested fields from internal systems or vendor tools.

What we need is something like this:

• import Excel or JSON data into Confluence without too much preprocessing
  create calculated columns per row, for example:
  • Contract Value = Unit Price × Quantity
  • Forecast Variance = Forecast - Actual
  • SLA Risk = derived from response time / breach %
• group the table hierarchically, for example: Region → Business Unit → Vendor
• show subtotals / averages at each grouping level
• keep a grand total or footer summary
• allow users to search the table easily on the page
• export the final result to Excel for leadership reviews

With native Confluence Databases, I can see views, filters, sorting, hidden fields, CSV import, and simple calculations, but I haven’t been able to build row-level computed columns or grouped subtotals inside the table itself.

Has anyone solved this with a Marketplace app that works well in Confluence Cloud for a serious business reporting use case?

Bonus if it can also work with existing Confluence tables or handle larger datasets cleanly.

Thanks in advance!

Clara Vega _Simpleasyty_

Hi @Marc-André Bouchard 

Your requirements are a very good example of where native Confluence Databases can start to feel limiting for enterprise-style reporting. Atlassian’s documentation shows support for structured fields, filtering, sorting, CSV import, simple calculations, and export options, but your use case goes further into row-level formulas, grouped subtotals, and more table-oriented reporting workflows. 

If you’re open to a Marketplace app, Simple Table could be a strong fit here. Full disclosure: I’m part of the team behind it.

It maps quite closely to the workflow you described:

• import CSV, JSON, and Excel data
• extract nested JSON fields into columns
• create row-level calculated columns with formulas
• group by multiple levels and apply aggregations inside each group
• add footer summaries such as Sum, Avg, Min, Max, Count, and Count distinct
• enable table search and export to CSV or Excel

Here’s a small sample vendor reporting dataset imported into Simple Table from CSV. This is useful when the source data starts in a spreadsheet or needs to be brought into Confluence quickly.

In this example, I added three row-level calculated columns: Contract Value = unitPrice * quantity, Forecast Variance = forecast - actual, and SLA Risk = breachPercent > 3 ? "At Risk" : "On Track". Simple Table documents calculated columns with expressions and ? : conditional logic for this kind of row-level signal.

The table can then be grouped hierarchically, for example region → businessUnit → vendor, with aggregations such as Sum or Avg shown at each grouping level, plus a footer summary for the full table. That gets much closer to the kind of operational or procurement reporting you described.

It can also work with existing Confluence tables through the bodied macro, and for larger tables there is support for saving the data as an attachment.

So based on your example, I’d frame this less as a “database replacement” need and more as a “structured enterprise reporting table inside Confluence” need, which is where Simple Table tends to work well.

Hope this helps!