Top 11 analytics · bi that work with R
Tableau is the highest-ranked provider in the Top 11 The 11 Best Data Visualization Tools that integrates with R.
Why this answer
Filtered to entries that publicly document a R integration. We do not include "API available" as proof of integration — there has to be a named connector or first-class workflow.
Showing all 10 matches. Top 11 publishes whatever the data supports — we don’t pad lists. See the full ranked The 11 Best Data Visualization Tools.
#1Tableau(rank #1 in The 11 Best Data Visualization Tools)
9.3/9.4Unmatched visualization flexibility and quality for dedicated data analysts.
Full Tableau review · Compare: Tableau vs Microsoft Power BI · Alternatives
#2Microsoft Power BI(rank #2 in The 11 Best Data Visualization Tools)
9.1/9.4Top choice for accessibility and deep Microsoft integration.
#3Looker(rank #3 in The 11 Best Data Visualization Tools)
8.9/9.4Excels at creating a consistent, governed data model.
#4Qlik Sense(rank #4 in The 11 Best Data Visualization Tools)
8.6/9.4Unique Associative Engine reveals hidden data relationships.
#5Domo(rank #5 in The 11 Best Data Visualization Tools)
8.4/9.4All-in-one platform with 1,000+ connectors and strong mobile BI.
#6Sisense(rank #6 in The 11 Best Data Visualization Tools)
8.2/9.4Flexible, API-first platform for embedding analytics.
#7ThoughtSpot(rank #7 in The 11 Best Data Visualization Tools)
8/9.4Empowers non-analysts with a natural language search interface.
#8Metabase(rank #8 in The 11 Best Data Visualization Tools)
7.8/9.4The simplest open-source tool for data democratization.
#9Plotly(rank #9 in The 11 Best Data Visualization Tools)
7.6/9.4Unrivaled control for complex, code-based visualizations.
#10Grafana(rank #10 in The 11 Best Data Visualization Tools)
7.4/9.4The industry standard for visualizing time-series and log data.
Methodology: /methodology · No paid placement ever · Verified .