Future Processing
Circuit mix
Where Future Processing shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Microsoft data platform91%6 events
- AI engineering & MLOps9%1 event
The year around now
Conferences where Future Processing sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.
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 |
|---|---|---|---|---|---|---|---|---|
| SQLDay | ||||||||
| PyTorch Conference |
Activity by year
Three measures on one year axis; each panel has its own scale.
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
Where they've grown or pulled back
FlatSponsored 1 conference in 2026, flat from 1 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.
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- SQLDay4 of 8 years, 2019–26
Not on the company map: lookalikes are computed only for companies present at four or more conferences.
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 4 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| dbWatch | 2 | 50% |
| Elitmind | 2 | 50% |
| Novatech | 2 | 50% |
| Objectivity | 2 | 50% |
| Summ-it | 2 | 50% |
| Clouds on Mars | 1 | 25% |
| DAMA Poland | 1 | 25% |
| Devart | 1 | 25% |
| Future Mind | 1 | 25% |
| InfiniteDATA Services | 1 | 25% |
| KPMG | 1 | 25% |
| KursySQL.pl | 1 | 25% |
| Microsoft | 1 | 25% |
| Prezydent Miasta Gdańska | 1 | 25% |
| Spyrosoft | 1 | 25% |
Sponsorships 4
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| SQLDay Lite 2026 | Sep 24–25, 2026 | Gdańsk, Poland | Złoty sponsor | Gold |
| SQLDay 2023 | May 8–10, 2023 | Wrocław, Poland | Złoty sponsor | Gold |
| SQLDay 2022 | May 9–11, 2022 | Wrocław, Poland | Złoty sponsor | Gold |
| SQLDay 2019 | May 13–15, 2019 | Wrocław, Poland | Złoty sponsor | Gold |
Speakers 8
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Krzysztof Paś | SQLDay Lite 2026 | speaker | Cloud is the New Legacy: Why Medallion Architecture Won’t Save Your Chaos | — |
| Remigiusz Tunowski | SQLDay Lite 2026 | speaker | Ontologia Palantir Foundry jako brakujące ogniwo między SQL a LLM | — |
| Artur Huk | SQLDay 2026 | speaker | The Missing Runtime: AI That Acts. Not Just Chats. | — |
| Maciej Szymkowski | PyTorch Conference Europe 2026 | lightning talk | Lightning Talk: Ball Tracking and Detection in Soccer Videos - Comparison of VLMs and Traditional Pipelines | — |
| Konrad Sarnecki | SQLDay 2025 | speaker | Szyfruj, przenoś, korzystaj - klucz do bezpiecznego procesowania wrażliwych danych w MS SQL Server | — |
| Krzysztof Paś | SQLDay 2025 | speaker | Szyfruj, przenoś, korzystaj - klucz do bezpiecznego procesowania wrażliwych danych w MS SQL Server | — |
| Krzysztof Kotowski | SQLDay 2019 | speaker | Uczenie maszynowe w praktyce – historia z happy endem | — |
| Tomasz Krawczyk | SQLDay 2019 | speaker | Partycjonowanie danych w rozwiązaniach Big Data | — |