Embedded Business Intelligence Software Resources

I'm researching whether Tableau is worth it for software engineers and business analysts, and I want to start with something the G2 profile makes obvious once you look at it.

For business analysts, the case is strong and well documented. Tableau carries 3,791 reviews at 4.4 in the Embedded Business Intelligence category, scores 8.7 on Reports Interface against a category average of 8.8, and reviewers consistently describe the drag-and-drop interface as getting from raw data to a working dashboard quickly without a technical background.

The comparison set I'm working from:

1. Tableau (4.4, 3,791 reviews) — Strongest for analyst-led visual work and the largest evidence base in the category by a wide margin. Now part of Salesforce, with Tableau Cloud and Tableau Server covering managed and self-hosted deployment.
2. Reveal (4.6, 64 reviews) — Built as an SDK rather than an iFrame embed, with native support for .NET Core, Java, Node.js, React, Angular, Vue, and Blazor. The clearest engineer-first option here, though reviewers note the SDK takes time to learn.
3. Sigma (4.4, 558 reviews) — Spreadsheet-style interface over live warehouse data, with the strongest Calculated Fields score in this group at 8.7.
4. Hex (4.5, 404 reviews) — SQL and Python in one notebook workspace, which suits engineers and data scientists more than business analysts.
5. Jaspersoft (4.1, 210 reviews) — Listed audience is software engineers and senior software engineers, aimed at ISVs adding pixel-perfect reporting to their own products.

What I'd like to hear from teams running both roles on the same tool:

• Did the analysts and the engineers end up in the same platform, or did you split?
• If engineers were expected to build embedded views in Tableau, how did the embedding APIs hold up against a purpose-built SDK?

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