Snap Analytics
Circuit mix
Where Snap Analytics shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Enterprise, analyst & AI expos40%5 events
- Research32%4 events
- Cloud providers12%3 events
- Modern data stack & practitioner4%1 event
- AI engineering & MLOps4%1 event
- Python & R data science4%1 event
- Software engineering & trading tech4%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.
- Gold
- Other / unlabeled
Where they've grown or pulled back
DownSponsored 1 conference in 2026, down from 2 in 2023.
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.
- EMNLP (Conference on Empirical Methods in Natural Language Processing)last sponsored 2022; the conference ran again in 2023–26
Steady 2
Sponsored in most years of its span at the same tier.
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)2 of 3 years 2023–25, unranked tier
- Big Data LDNevery year 2023–25, tier not listed
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- NeurIPS (Conference on Neural Information Processing Systems)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).
- Expedia Group0.78
- Zhipu AI0.73
- Yahoo0.71
- Kuaishou0.71
- Intuit0.68
- NAVER0.67
- Cambridge University Press0.65
- MDPI0.64
11 Cluster: NeurIPS · ACM SIGKDD circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 9 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| 6 | 67% | |
| Amazon Web Services | 5 | 56% |
| ClickHouse | 5 | 56% |
| Eden Smith | 5 | 56% |
| Fivetran | 5 | 56% |
| Microsoft | 5 | 56% |
| Multiverse | 5 | 56% |
| Pyramid Analytics | 5 | 56% |
| Zoho | 5 | 56% |
| Alteryx | 4 | 44% |
| Apple | 4 | 44% |
| Baidu | 4 | 44% |
| Bloomberg | 4 | 44% |
| Carruthers and Jackson | 4 | 44% |
| Data Literacy Academy | 4 | 44% |
Neighborhood: companies with nearby conference footprints
Snap Analytics (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 9
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| Data Decoded MCR 2026 | Oct 13–14, 2026 | Manchester, United Kingdom | Exhibitor | Other |
| Data Decoded LDN 2026 | Apr 22–23, 2026 | London, United Kingdom | Exhibitor | Other |
| Big Data LDN 2025 | Sep 24–25, 2025 | London, United Kingdom | Exhibitor | Unlabeled |
| KDD 2025 (31st ACM SIGKDD Conference) | Aug 3–7, 2025 | Toronto, Canada | Coffee Break Sponsor | Other |
| Big Data LDN 2024 | Sep 18–19, 2024 | London, United Kingdom | Exhibitor | Unlabeled |
| Big Data LDN 2023 | Sep 20–21, 2023 | London, United Kingdom | Exhibitor | Unlabeled |
| KDD 2023 (29th ACM SIGKDD Conference) | Aug 6–10, 2023 | Long Beach, United States | Undergraduate Consortium Sponsor | Other |
| EMNLP 2022 | Dec 7–11, 2022 | Abu Dhabi, United Arab Emirates | Diversity and Inclusion: Champion | Other |
| NeurIPS 2019 | Dec 8–14, 2019 | Vancouver, Canada | Gold | Gold |
Speakers 21
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Kishor Yadav Kommanaboina | QCon San Francisco 2026 | speaker | Autoscaling 800 Valkey Clusters: Distributed Systems Lessons from Scaling Stateful Fleets | — |
| David Rice | Data Decoded MCR 2026 | speaker | The Rise of the Context Engineer – Why AI is making context more valuable than coding | — |
| Paul Johnson | Data Decoded MCR 2026 | speaker | The Rise of the Context Engineer – Why AI is making context more valuable than coding | — |
| Tom Bruce | Data Decoded MCR 2026 | speaker | The AI-Augmented Data Team: Scaling Delivery Without Scaling Headcount | — |
| Will Taite | Data Decoded MCR 2026 | speaker | The AI-Augmented Data Team: Scaling Delivery Without Scaling Headcount | — |
| David Rice | Data Decoded LDN 2026 | speaker | From AI Pilots to Real Momentum: A Fireside Chat with Edmund Optics | — |
| Paul Johnson | Data Decoded LDN 2026 | speaker | The AI-Augmented Data Team: Scaling Delivery Without Scaling Headcount | — |
| Will Taite | Data Decoded LDN 2026 | speaker | The AI-Augmented Data Team: Scaling Delivery Without Scaling Headcount | — |
| James Mullan | EARL 2025 | talk | Automating the Mundane Leveraging Python for Data Mappings and Test Data Generation | — |
| Tom Brown | AWS re:Invent 2023 | breakout | Reinvent your cloud strategy: Optimize performance & cut cloud costs (sponsored by Intel) | Video |
| Han Gan | Airflow Summit 2023 | talk | Airflow at Snap: Managing permissions, migrations and internal tools | Slides · Video |
| Nanxi Chen | Airflow Summit 2023 | talk | Airflow at Snap: Managing permissions, migrations and internal tools | Slides · Video |
| Yuri Desyatnik | Airflow Summit 2023 | talk | Airflow at Snap: Managing permissions, migrations and internal tools | Slides · Video |
| Zhengyi Liu | Airflow Summit 2023 | talk | Airflow at Snap: Managing permissions, migrations and internal tools | Slides · Video |
| Xiaolin Shi | KDD 2023 (29th ACM SIGKDD Conference) | ADS invited talk | — | — |
| Eli Semory | AWS re:Invent 2022 | breakout | Run large-scale graphics workloads with AWS, featuring Mircom and Snap | Slides · Video |
| Mahmoud Ragab | AWS re:Invent 2022 | breakout | Deliver great experiences with QUIC on Amazon CloudFront | Slides · Video |
| Vladyslav Gorbatiuk | Data Science UA Conference 8 (March 2020) | speaker | Challenges in hands tracking on mobile devices | — |
| Ahmed El Baz | AWS re:Invent 2019 | breakout | [REPEAT 1] Amazon EKS under the hood | Slides · Video |
| Kevin Dela Rosa | AWS re:Invent 2019 | breakout | Build accurate training datasets with Amazon SageMaker Ground Truth | Slides · Video |
| Vinay Kola | AWS re:Invent 2019 | breakout | [REPEAT 1] Designing for failure: Architecting resilient systems on AWS | Slides · Video |