TU Berlin
Circuit mix
Where TU Berlin shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Research67%3 events
- Streaming17%1 event
- Python & R data science17%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 |
|---|---|---|---|---|---|---|---|---|---|---|
| CIDR (Conference on Innovative Data Systems Research) | ||||||||||
| ACM SIGMOD/PODS (International Conference on Management of Data) | ||||||||||
| Flink Forward | ||||||||||
| PyData |
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.
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference 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 1
First sponsored in 2025 or later.
- ACM SIGMOD/PODS (International Conference on Management of Data)first sponsored 2025, Community 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).
- Hasso Plattner Institute0.85
- TU Dresden0.76
- Zhejiang University0.74
- OceanBase0.73
- UC Santa Cruz0.71
- DuckDB Labs0.71
- East China Normal University0.70
- Tel Aviv University0.69
2 Cluster: CIDR · ACM SIGMOD/PODS circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Adobe | 1 | 100% |
| Alibaba Cloud | 1 | 100% |
| Amazon Web Services | 1 | 100% |
| BIFOLD | 1 | 100% |
| ByteDance | 1 | 100% |
| Databricks | 1 | 100% |
| DFKI GmbH | 1 | 100% |
| Everest Systems | 1 | 100% |
| 1 | 100% | |
| Hasso Plattner Institute | 1 | 100% |
| Huawei | 1 | 100% |
| Humboldt University of Berlin | 1 | 100% |
| Megagon Labs | 1 | 100% |
| Microsoft | 1 | 100% |
| Observe | 1 | 100% |
Neighborhood: companies with nearby conference footprints
TU Berlin (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 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| SIGMOD/PODS 2025 | Jun 22–27, 2025 | Berlin, Germany | Supporters | Community |
Speakers 7
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Robin P. van de Water | CIDR 2022 | paper | DataFarm: Farm Your ML-based Query Optimizer’s Food! – Human-Guided Training Data Generation – | Video · Paper |
| Eleni Tzirita Zacharatou | CIDR 2021 | paper | The Case for Distance-Bounded Spatial Approximations | Video · Paper |
| Mohammad Mahdavi | CIDR 2021 | paper | Semi-Supervised Data Cleaning with Raha and Baran | Video · Paper |
| Felicia Burtscher | PyCon DE & PyData Berlin 2019 | talk | CANCELLED: First steps in Julia | — |
| Franziska Horn | PyCon DE & PyData Berlin 2019 | talk | Automated Feature Engineering and Selection in Python | — |
| Jonas Traub | Flink Forward Europe 2019 | speaker | Scotty: Efficient Window Aggregation with General Stream Slicing | — |
| Philipp Grulich | Flink Forward Europe 2019 | speaker | Scotty: Efficient Window Aggregation with General Stream Slicing | — |