Swim
Circuit mix
Where Swim shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Streaming60%3 events
- AI engineering & MLOps20%1 event
- Modern data stack & practitioner10%1 event
- Enterprise, analyst & AI expos10%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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Current (formerly Kafka Summit) | ||||||||||
| The Texas AI Summit | ||||||||||
| Data Con LA | ||||||||||
| Data Summit (DBTA) |
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
- 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.
Moved down 1
Best tier fell between the first and latest year with a ranked tier.
- Current (formerly Kafka Summit)Gold 2021 → Silver 2022
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- The Texas AI 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).
- Hackolade0.85
- Timeplus0.82
- Volt Active Data0.80
- Lenses.io0.78
- SVA0.77
- RisingWave0.71
- Buf0.70
- Radicalbit0.68
5 Cluster: Current · Data Streaming Summit circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 4 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Aiven | 3 | 75% |
| Amazon Web Services | 3 | 75% |
| Azul | 3 | 75% |
| Cloudera | 3 | 75% |
| 3 | 75% | |
| IBM | 3 | 75% |
| Imply | 3 | 75% |
| InfluxData | 3 | 75% |
| Instaclustr | 3 | 75% |
| Microsoft | 3 | 75% |
| MongoDB | 3 | 75% |
| Qlik | 3 | 75% |
| Red Hat | 3 | 75% |
| ScyllaDB | 3 | 75% |
| Solace | 3 | 75% |
Neighborhood: companies with nearby conference footprints
Swim (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 4
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| Current 2022: The Next Generation of Kafka Summit | Oct 4–5, 2022 | Austin, United States | Silver Sponsors | Silver |
| Kafka Summit Americas 2021 | Sep 14–15, 2021 | — | Gold | Gold |
| Kafka Summit Europe 2021 | May 11–12, 2021 | — | Gold | Gold |
| The Texas AI Summit 2019 | Jan 25, 2019 | Austin, United States | Sponsors | Other |
Speakers 3
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Manish Kalra | Data Summit 2022 | speaker | Automating Business Decisions With Continuous Intelligence Using Event Streams | — |
| Simon Crosby | Data Con LA 2020 | speaker | Continuous Intelligence: A Sea-Change in Streaming Data Processing | — |
| Chris Sachs | The Texas AI Summit 2019 | speaker | Edge intelligence: Machine learning at the enterprise edge | — |