Companies
RStudio
Product category (jev): ML platforms 91% confident
Org type (jev): Software vendor 100% confident
Also listed as: RStudio, PBC
Conferences sponsored9
Events sponsored14
Speaker slots7646 distinct people
Conferences present at13sponsor or speaker
Years active2019–2022
Circuit mix
Where RStudio shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Python & R data science55%16 events
- Enterprise, analyst & AI expos30%6 events
- Modern data stack & practitioner8%2 events
- Vendor flagships & roadshows5%1 event
- Open-source data infrastructure3%1 event
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
Activity by year
Three measures on one year axis; each panel has its own scale. 2027, 2028 is still mostly ahead, so its bars are faded and incomplete.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
9
4
4
8
Distinct speakers
People from this company on a program that year, each counted once.
25
5
3
27
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled
7
1
1
5
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 4 conferences in 2022.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
Moved down 1
Best tier fell between the first and latest year with a ranked tier.
- New York R Conference (now The New York Data Science & AI Conference)Platinum 2019 → Bronze 2022
Pulled out 3
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- Budapest Data+AI Forumlast sponsored 2022; the conference ran again in 2024–26
- Disney Data & Analytics Conferencelast sponsored 2019; the conference ran again in 2022–26
- Gartner Data & Analytics Summitlast sponsored 2022; the conference ran again in 2023 and 2026
Once or on and off 5
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- Big Data LDNonce, 2019, Silver
- Data + AI Summitonce, 2019, Bronze
- EARL (Enterprise Applications of the R Language)2 of 4 years, 2019–22
- PyDataonce, 2021, Gold
- Strata Data Conferenceonce, 2019, unranked tier
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- DataCamp0.69
- Metric Insights0.60
- Euno0.60
- H2O.ai0.59
- Espresso AI0.59
- Bigeye0.59
- Ontotext0.58
- Esri0.58
10 Cluster: Gartner Data & Analytics Summit · Snowflake Summit circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 14 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| IBM | 8 | 57% |
| Snowflake | 8 | 57% |
| Microsoft | 7 | 50% |
| Alteryx | 6 | 43% |
| Amazon Web Services | 6 | 43% |
| Dataiku | 6 | 43% |
| 6 | 43% | |
| Informatica | 6 | 43% |
| Neo4j | 6 | 43% |
| Talend | 6 | 43% |
| Alation | 5 | 36% |
| Ataccama | 5 | 36% |
| Cloudera | 5 | 36% |
| Collibra | 5 | 36% |
| Databricks | 5 | 36% |
Neighborhood: companies with nearby conference footprints
RStudio (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
- Gartner Data & Analytics Summit · Snowflake Summit circuit 9
- Big Data & AI Paris · Gartner Data & Analytics Summit circuit 8
- Data Innovation Summit · Nordic Data Science and Machine Learning Summit circuit 6
- ODSC · MLOps World circuit 2
- Current · Data Streaming Summit circuit 2
- QCon · MCP Dev Summit / AGNTCon + MCPCon circuit 1
- Community Over Code · Flink Forward circuit 1
- AWS re:Invent · Google Cloud Next circuit 1
- PyCon · EuroPython circuit 1
Sponsorships 14
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| EARL 2022 | Sep 6–8, 2022 | London, United Kingdom | Sponsor | Other |
| Gartner Data & Analytics Summit 2022 (Orlando) | Aug 22–24, 2022 | Orlando, United States | Silver | Silver |
| New York R Conference 2022 | Jun 9–10, 2022 | New York, United States | Bronze | Bronze |
| Gartner Data & Analytics Summit 2022 (London) | May 9–11, 2022 | London, United Kingdom | Platinum | Platinum |
| Budapest ML Forum 2022 | May 3–4, 2022 | Budapest, Hungary | Silver | Silver |
| PyData Global 2021 | Oct 28–30, 2021 | — | Gold | Gold |
| R Conference "New York" 2020 (virtual) | Aug 14–15, 2020 | New York, United States | Platinum | Platinum |
| Big Data LDN 2019 | Nov 13–14, 2019 | London, United Kingdom | Silver Sponsors | Silver |
| Strata Data Conference New York 2019 | Sep 23–26, 2019 | New York, United States | Exhibitors | Other |
| EARL London 2019 | Sep 10–12, 2019 | London, United Kingdom | Sponsor (no tier shown) | Other |
| DDAC 2019 | Aug 20–21, 2019 | Lake Buena Vista, United States | Showcase | Other |
| New York R Conference 2019 | May 10–11, 2019 | New York, United States | Platinum | Platinum |
| Spark + AI Summit 2019 | Apr 23–25, 2019 | San Francisco, United States | Bronze | Bronze |
| Gartner Data & Analytics Summit 2019 (Orlando) | Mar 18–21, 2019 | Orlando, United States | Silver | Silver |
Speakers 76
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Hadley Wickham | PyData Global 2022 | keynote | — | — |
| Michael Chow | Coalesce 2022 New Orleans | speaker | The accidental analytics engineer | Video |
| Barret Schloerke | rstudio::conf(2022) | speaker | {shinytest2}: Regression testing for Shiny applications | Slides · Video |
| Davis Vaughan | rstudio::conf(2022) | speaker | It's about time | Slides · Video |
| Devin Pastoor | rstudio::conf(2022) | speaker | Websites & Books & Blogs, oh my! Creating Rich Content with Quarto | Video |
| E. David Aja | rstudio::conf(2022) | speaker | You should be using renv | Video |
| Emil Hvitfeldt | rstudio::conf(2022) | speaker | tidyclust - expanding tidymodels to clustering | Video |
| Gagandeep Singh | rstudio::conf(2022) | speaker | Yes, you can use Python with RStudio Team! | Video |
| George Stagg | rstudio::conf(2022) | speaker | WebR: R compiled for WebAssembly and running in the browser | Slides · Video |
| Greg Swinehart | rstudio::conf(2022) | speaker | Designing for people is hard | Video |
| Hadley Wickham | rstudio::conf(2022) | keynote | RStudio: 2022 and Beyond | Video |
| Hadley Wickham | rstudio::conf(2022) | workshop | Package Development Masterclass | — |
| Hadley Wickham | rstudio::conf(2022) | speaker | An introduction to R7 | Video |
| Hannah Frick | rstudio::conf(2022) | speaker | censored - Survival Analysis in tidymodels | Slides · Video |
| Isabel Zimmerman | rstudio::conf(2022) | speaker | Demystifying MLOps | Video |
| James Blair | rstudio::conf(2022) | speaker | R, Python, and Tableau: A Love Triangle | Video |
| JJ Allaire | rstudio::conf(2022) | keynote | RStudio: 2022 and Beyond | Video |
| Joe Cheng | rstudio::conf(2022) | keynote | The Past and Future of Shiny | Video |
| Julia Silge | rstudio::conf(2022) | workshop | Machine Learning with tidymodels | — |
| Julia Silge | rstudio::conf(2022) | keynote | Good practices for applied machine learning - from model development to model deployment | — |
| Kelly O'Briant | rstudio::conf(2022) | speaker | Remote Content Execution with RStudio Connect and Kubernetes | Slides · Video |
| Max Kuhn | rstudio::conf(2022) | keynote | Good practices for applied machine learning - from model development to model deployment | — |
| Max Kuhn | rstudio::conf(2022) | workshop | Machine Learning with tidymodels | — |
| Nick Strayer | rstudio::conf(2022) | speaker | A new way to build your Shiny app's UI | Video |
| Rachael Dempsey | rstudio::conf(2022) | speaker | Everything I learned about community building, I learned from growing up in a restaurant | Video |
| Sigrid Keydana | rstudio::conf(2022) | speaker | Dissecting the quick fix: Analysing tech-solutionist solutions | Video |
| Tom Mock | rstudio::conf(2022) | workshop | Getting Started with Quarto | — |
| Tom Mock | rstudio::conf(2022) | speaker | Quarto for the Curious | Slides · Video |
| Tracy Teal | rstudio::conf(2022) | speaker | These are a few of my favorite things (about Quarto presentations) | Video |
| Winston Chang | rstudio::conf(2022) | speaker | Running Shiny without a server | Video |
| Xu Fei | rstudio::conf(2022) | speaker | Yes, you can use Python with RStudio Team! | Video |
| Yihui Xie | rstudio::conf(2022) | speaker | Highlights of the knitr package from the past two years | — |
| Thomas Mock | The Data Thread 2022 | talk | Efficient Data Analysis on Larger-than-Memory Data with DuckDB and Arrow | Video |
| Emil Hvitfeldt | New York R Conference 2022 | talk | I Did 'Advent of Code' and Here Is What I Learned | Video |
| Max Kuhn | New York R Conference 2022 | talk | Monitor Your Data As Well As Your Model | Video |
| Max Kuhn | New York R Conference 2022 | workshop | Workshop: Machine Learning in R | — |
| Alex Gold | Government & Public Sector R Conference 2021 | speaker | Reliably Reproducible R-Tifacts | Video |
| Max Kuhn | New York R Conference 2021 | workshop | Workshop: Machine Learning in R | — |
| Max Kuhn | New York R Conference 2021 | talk | The Global Pandemic Ruined My Favorite Data Set | Video |
| Hadley Wickham | rstudio::global(2021) | keynote | — | — |
| Alex Gold | Government & Public Sector R Conference 2020 (R|Gov) | speaker | Easier, Better, Faster, Stronger Data Science with R Packages | Video |
| Max Kuhn | EARL Online 2020 (VirtuEARL) | keynote | — | Slides |
| Max Kuhn | EARL Online 2020 (VirtuEARL) | workshop | A quick introduction to tidymodels | — |
| Max Kuhn | R Conference "New York" 2020 (virtual) | talk | Resampling, Repeated Measures Designs, and You | Video |
| Max Kuhn | R Conference "New York" 2020 (virtual) | workshop | Workshop: Machine Learning in R | — |
| Tom Mock | R Conference "New York" 2020 (virtual) | talk | Higher, Further, Faster with Marvelous RMarkdown | Video |
| Jenny Bryan | rstudio::conf 2020 | keynote | Object of type ‘closure’ is not subsettable | Slides · Video |
| JJ Allaire | rstudio::conf 2020 | keynote | Open Source Software for Data Science | Slides · Video |
| Daniel Rodriguez | PyData New York City 2019 | speaker | Effective Python and R collaboration | Video |
| Kelly O'Briant | EARL London 2019 | talk | The R in Production Handoff: Building bridges from data science to IT | — |
| Kevin Kuo | EARL London 2019 | talk | Towards open collaboration in insurance analytics | — |
| Max Kuhn | New York R Conference 2019 | talk | parsnip: a tidy interface for models | Video |
| Max Kuhn | New York R Conference 2019 | workshop | Workshop: Machine Learning with Caret | — |
| Alan Dipert | rstudio::conf 2019 | speaker | Integrating React.js and Shiny | Video |
| Amanda Gadrow | rstudio::conf 2019 | speaker | Getting it right: Writing reliable and maintainable R code | Video |
| Carl Howe | rstudio::conf 2019 | speaker | The next million R users | Slides · Video |
| Edgar Ruiz | rstudio::conf 2019 | speaker | Databases using R: The latest | Slides · Video |
| Gábor Csárdi | rstudio::conf 2019 | speaker | pkgman: a fresh approach to package installation | Video |
| Garrett Grolemund | rstudio::conf 2019 | speaker | R Markdown: The bigger picture | Slides · Video |
| Hadley Wickham | rstudio::conf 2019 | speaker | vctrs: tools for making size and type consistent functions | Video |
| James Blair | rstudio::conf 2019 | speaker | Democratizing R with Plumber APIs | Slides · Video |
| Javier Luraschi | rstudio::conf 2019 | speaker | Scaling R with Spark | Video |
| Jeff Allen | rstudio::conf 2019 | speaker | RStudio Connect: Past, Present, and Future | Slides · Video |
| Jenny Bryan | rstudio::conf 2019 | speaker | Tidy eval in context | Slides |
| Jim Hester | rstudio::conf 2019 | speaker | It depends: A dialog about dependencies | Slides · Video |
| Joe Cheng | rstudio::conf 2019 | keynote | Shiny in production: Principles, practices, and tools | Slides · Video |
| Jonathan McPherson | rstudio::conf 2019 | speaker | New Language Features in RStudio 1.2 | Video |
| Joseph Rickert | rstudio::conf 2019 | speaker | R Consortium Initiatives in Medicine | Video |
| Kelly O’Briant | rstudio::conf 2019 | speaker | Configuration Management Tools for the R Admin | Video |
| Kevin Kuo | rstudio::conf 2019 | speaker | Introducing mlflow | Video |
| Max Kuhn | rstudio::conf 2019 | speaker | parsnip - a tidy model interface | Video |
| Mel Gregory | rstudio::conf 2019 | speaker | RStudio Cloud for Education | Video |
| Sean Lopp | rstudio::conf 2019 | speaker | RStudio Package Manager | Slides |
| Sigrid Keydana | rstudio::conf 2019 | speaker | Why TensorFlow eager execution matters | Slides · Video |
| Tareef Kawaf | rstudio::conf 2019 | speaker | Welcome + RStudio Vision | — |
| Yihui Xie | rstudio::conf 2019 | speaker | pagedown: Creating beautiful PDFs with R Markdown and CSS | Slides · Video |