Square
Circuit mix
Where Square shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- AI engineering & MLOps30%2 events
- Enterprise, analyst & AI expos20%1 event
- Python & R data science20%1 event
- Modern data stack & practitioner10%1 event
- Postgres & open-source databases10%1 event
- Cloud providers10%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
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 |
|---|---|---|---|---|---|---|---|---|---|---|
| Percona Live | ||||||||||
| AI Engineer (World's Fair, Summit and regional editions) | ||||||||||
| Big Data & AI Paris | ||||||||||
| PyCon (national Python conferences) | ||||||||||
| AWS re:Invent | ||||||||||
| Data Council | ||||||||||
| O'Reilly Artificial Intelligence Conference |
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.
- Gold
- Silver
Where they've grown or pulled back
FlatSponsored 1 conference in 2026, flat from 1 in 2025.
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.
New 2
First sponsored in 2025 or later.
- AI Engineer (World's Fair, Summit and regional editions)first sponsored 2025, Silver
- Big Data & AI Parisfirst sponsored 2026, Gold
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- PyCon (national Python conferences)once, 2019, Gold
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).
- Nixtla0.69
- CodeRabbit0.67
- Indeed0.64
- The New Stack0.64
- Sicara0.63
- New Relic0.62
- Intercom0.61
- Stripe0.61
1 Cluster: AI Engineer · MLOps World circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 3 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Datadog | 3 | 100% |
| 3 | 100% | |
| Amazon Web Services | 2 | 67% |
| Bloomberg | 2 | 67% |
| Elastic | 2 | 67% |
| Microsoft | 2 | 67% |
| Neo4j | 2 | 67% |
| Red Hat | 2 | 67% |
| Sentry | 2 | 67% |
| Zapier | 2 | 67% |
| ACCELIANCE | 1 | 33% |
| ACENSI | 1 | 33% |
| ActiveCampaign | 1 | 33% |
| ActiveState | 1 | 33% |
| Agilos IT d.o.o. | 1 | 33% |
Neighborhood: companies with nearby conference footprints
Square (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 3
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| Big Data & AI Paris 2026 | Sep 15–16, 2026 | Paris, France | Gold | Gold |
| AI Engineer Code Summit 2025 | Nov 19–22, 2025 | New York, United States | Silver Sponsors (meet in Expo!) | Silver |
| PyCon US 2019 | May 1–9, 2019 | Cleveland, United States | Gold | Gold |
Speakers 9
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Alyssa Ransbury | Data Council SF 2020 (online) | talk | Amundsen - From Discovering Data to Securing Data | — |
| Geoff Flarity | AWS re:Invent 2019 | breakout | Running Kubernetes clusters at scale: Square | Slides · Video |
| Jay Estrella | AWS re:Invent 2019 | breakout | Running Kubernetes clusters at scale: Square | Slides · Video |
| Meher Kasam | O'Reilly Artificial Intelligence Conference London 2019 | speaker | — | — |
| Brian Ip | Percona Live Open Source Database Conference 2019 | speaker | Automating MySQL User Access at Square At Scale | — |
| Brian Ip | Percona Live Open Source Database Conference 2019 | speaker | Heterogeneous Tools for Fast Database Failover at Square | — |
| Emily Slocombe | Percona Live Open Source Database Conference 2019 | speaker | Databases at Scale, at Square | — |
| Emily Slocombe | Percona Live Open Source Database Conference 2019 | speaker | Heterogeneous Tools for Fast Database Failover at Square | — |
| Samantha Ong | Percona Live Open Source Database Conference 2019 | speaker | Automating MySQL User Access at Square At Scale | — |