Circuit mix
Where Twitter 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 science26%6 events
- Modern data stack & practitioner17%4 events
- Open-source data infrastructure17%5 events
- Research11%2 events
- Software engineering & trading tech11%4 events
- Enterprise, analyst & AI expos6%2 events
- AI engineering & MLOps6%2 events
- Vendor flagships & roadshows3%1 event
- Streaming3%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
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Platinum
- Silver
- Bronze
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference 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.
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- AI By the Baylast sponsored 2019; the conference ran again in 2021, 2023 and 2025
Once or on and off 6
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
Show all 6 conferences
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)once, 2019, Bronze
- Data Councilonce, 2019, unranked tier
- NeurIPS (Conference on Neural Information Processing Systems)once, 2019, Platinum
- PyCon (national Python conferences)2 of 4 years, 2019–22
- SciPy Conference (Scientific Computing with Python)once, 2019, Silver
- Trino Summitonce, 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).
- Netflix0.76
- Capital One0.72
- Lyft0.71
- New York University0.71
- Bloomberg0.71
- NumFOCUS0.71
- LinkedIn0.70
- Packt0.68
16 Cluster: PyCon · EuroPython circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 8 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Bloomberg | 5 | 63% |
| Microsoft | 5 | 63% |
| Two Sigma | 5 | 63% |
| Amazon Web Services | 4 | 50% |
| Meta | 4 | 50% |
| Netflix | 4 | 50% |
| Booz Allen Hamilton | 3 | 38% |
| Capital One | 3 | 38% |
| The D. E. Shaw Group | 3 | 38% |
| 3 | 38% | |
| Hudson River Trading | 3 | 38% |
| IBM | 3 | 38% |
| Indeed | 3 | 38% |
| JetBrains | 3 | 38% |
| Python Software Foundation | 3 | 38% |
Neighborhood: companies with nearby conference footprints
Twitter (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.
Sponsorships 8
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyCon US 2022 | Apr 27, 2022 – May 3, 2022 | Salt Lake City, United States | Participating | Other |
| NeurIPS 2019 | Dec 8–14, 2019 | Vancouver, Canada | Platinum | Platinum |
| Scale By the Bay 2019 | Nov 13–15, 2019 | Oakland, United States | Partner | Other |
| KDD 2019 (25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining) | Aug 4–8, 2019 | Anchorage, United States | Bronze | Bronze |
| Data Council Singapore 2019 | Jul 17–18, 2019 | Singapore, Singapore | Partner | Other |
| SciPy 2019 | Jul 8–14, 2019 | Austin, United States | Silver | Silver |
| Presto Summit 2019 | Jun 20, 2019 | San Francisco, United States | Host (venue) | Other |
| PyCon US 2019 | May 1–9, 2019 | Cleveland, United States | Silver | Silver |
Speakers 28
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Jigyasa Grover | Data Innovation Summit 2023 | featured | — | — |
| Jigyasa Grover | Coalesce 2022 New Orleans | speaker | Sculpting data for machine learning | Video |
| Rishabh Misra | Coalesce 2022 New Orleans | speaker | Sculpting data for machine learning | Video |
| Lohit Vijayarenu | Beam Summit 2022 | speaker | The adoption, current state and future of Apache Beam at Twitter | Slides · Video |
| Navin Viswanath | Beam Summit 2022 | speaker | Apache Beam backend for open source Scalding | Slides · Video |
| Praveen Killamsetti | Beam Summit 2022 | speaker | Log ingestion and data replication at Twitter | Slides · Video |
| Zhenzhao Wang | Beam Summit 2022 | speaker | Log ingestion and data replication at Twitter | Slides · Video |
| Andy Piper | EuroPython 2022 | talk | Try Something Different: Explore MicroPython! (a rough guide for newcomers) | Video |
| Cat Zhou | New York R Conference 2022 | talk | Causal not Casual: Building Up Causal Measurement | Video |
| Michelle Garrett | QCon London 2022 | speaker | The GraphQL Developer Experience at Twitter | — |
| Chunxu Tang | PrestoCon 2021 | speaker | A Tour of Presto Iceberg Connector | — |
| Nastaran Ghadar | Data Innovation Summit 2021 | featured | — | — |
| Chunxu Tang | PrestoCon Day 2021 | speaker | Presto and Apache Iceberg | — |
| Beinan Wang | PrestoCon 2020 | speaker | Presto at Twitter | — |
| Chunxu Tang | PrestoCon 2020 | speaker | Presto at Twitter | — |
| Mehrdad Nurolahzade | Distributed SQL Virtual Summit 2020 | speaker | The Distributed Database Behind Twitter | — |
| Dan Davydov | Airflow Summit 2020 | keynote | Keynote: How large companies use Airflow for ML and ETL pipelines | Video |
| Gerard Casas Saez | Airflow Summit 2020 | talk | AIP-31: Airflow functional DAG definition | Slides · Video |
| Michelle Garrett | QCon London 2020 | panelist | Panel: How to Make the Future Become Your Present | Video |
| Michelle Garrett | QCon London 2020 | speaker | Introducing and Scaling a GraphQL BFF | Video |
| Julie Hollek | PyData Austin 2019 | keynote | Data Science: How do you even? | Video |
| Brian Martin | QCon San Francisco 2019 | speaker | High Resolution Performance Telemetry at Scale | Video |
| Theodore Summe | TensorFlow World 2019 | keynote | Accelerating ML at Twitter | — |
| Ariadna Font Llitjós | O'Reilly Artificial Intelligence Conference London 2019 | speaker | — | — |
| Miguel Rios | Data Council Singapore 2019 | talk | Scaling Data Science Teams: Twitter's Perspective | — |
| Tony Printezis | QCon New York 2019 | panelist | Panel: Which Java Vendor Should I Choose? | — |
| Hao Luo | Presto Summit 2019 | speaker | Twitter's Presto Journey To Google Cloud Platform | Slides |
| Lohit VijayaRenu | DataWorks Summit Washington, DC 2019 | speaker | Extending Twitter's Data Platform to Google Cloud | — |