Is Tableau Dead?
Salesforce’s stewardship of Tableau has many data professionals questioning the product’s future, citing aggressive licensing changes, stagnant feature development, and sluggish performance compared with newer or cheaper BI options. Commenters contrast Tableau with Power BI, Looker, and open source tools like Superset and Metabase, weighing trade-offs in cost, governance, flexibility, and ease of use. A broader theme is emerging fatigue with traditional dashboards themselves, as organizations struggle with underused reports and look instead for faster, more targeted ways to turn raw data into actionable decisions.
Overall view on “Is Tableau dead?”
- Many see Tableau as stagnating since the Salesforce acquisition: fewer visible improvements, loss of “magic,” and talent departures.
- However, it remains entrenched in large orgs with many existing dashboards, consultants, and contracts; not “dead” but aging and no longer the hot SMB choice.
- Some think Salesforce will slowly hollow it out, similar to Heroku; others note it is still heavily used in consulting and large enterprises.
Sales, pricing, and procurement experiences
- Multiple commenters describe aggressive Salesforce/Tableau sales tactics and large, sudden price hikes that pushed them to walk away.
- High per‑desktop and feature add‑on costs create a “priesthood” of creators and discourage broad internal adoption.
- Some procurement teams have dropped vendors entirely when they attempted to double or more existing prices.
Product experience: strengths and weaknesses
- Strengths:
- Very good for exploratory analysis on multidimensional data; “drag-and-drop” EDA instead of writing seaborn/ggplot code.
- Strong for dashboarding and presentation, quick to get “immediately presentable” visuals.
- Weaknesses:
- Sluggish, inflexible, and plateaued in recent versions, according to several users.
- Complex mental model (aggregations, table calcs, relational thinking) overwhelms many non‑experts.
- Poor transparency: viewers can’t easily see or tweak the underlying SQL; custom SQL buried inside workbooks is seen as bad for governance.
- Licensing and infrastructure (extracts, storage, GDPR concerns) are perceived as dated and restrictive.
Comparisons: Power BI, Looker, others
- Power BI:
- Widely adopted because it’s bundled/cheap in Microsoft ecosystems.
- Some praise its power (DAX, Power Query, governance), say it’s now better than Tableau; others find DAX confusing, versioning awful, and the tool “dangerous” and opaque for serious analytics.
- Looker:
- Viewed as cohesive with BigQuery/DBT but criticized as incomplete, expensive, stagnant post‑acquisition, with weak access control and odd features (e.g., emailing queries).
- Other tools mentioned: Qlik, Superset, Metabase, Blazer, Evidence, Mode, Streamlit, Omni, Sisense, ToolJet; many are liked for SQL‑first workflows, self‑hosting, or better transparency.
Dashboards, usage, and fatigue
- Several report “dashboard fatigue”: hundreds of dashboards, most rarely viewed, used as one‑off automated reports where data “goes to die.”
- Desire expressed for fewer dashboards and better ways to push timely, actionable insights instead of relying on users to pull data.