CERN
Circuit mix
Where CERN shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Python & R data science53%10 events
- Postgres & open-source databases42%7 events
- Open-source data infrastructure5%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.
- Other / unlabeled
Where they've grown or pulled back
Sponsored 1 conference in 2026, the first year on record.
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.
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).
- Camptocamp0.82
- Crunchy Data0.81
- Citus Data0.80
- Postgres.ai0.79
- Postgres Professional0.79
- Data Egret0.78
- Data Bene0.78
- Redpill Linpro0.78
17 Cluster: PGDays & regional Postgres events · PostgreSQL Conference Europe 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 |
|---|---|---|
| Amazon Web Services | 1 | 100% |
| CH Open | 1 | 100% |
| Data Bene | 1 | 100% |
| dbi services | 1 | 100% |
| Redgate | 1 | 100% |
| Tiger Analytics | 1 | 100% |
Neighborhood: companies with nearby conference footprints
CERN (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 |
|---|---|---|---|---|
| CERN PGDay 2026 | Feb 6, 2026 | Meyrin, Switzerland | Partner | Community |
Speakers 30
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Tomas Roun | EuroPython 2026 | talk | Become a Python Core Developer in 3 Easy Steps | Video |
| Heiner Wolf | PyCon DE & PyData 2026 | talk | Beyond Stateless: Why Your Web Service Architecture is Fighting Against Performance | — |
| Dimitrios Matakias | CERN PGDay 2026 | speaker | DCS Data Tools - PostgreSQL/TimescaleDB Implementation for ATLAS DCS Time-Series Data | Slides · Video |
| Jaroslav Guenther | CERN PGDay 2026 | speaker | A new PostgreSQL backend for CERN Tape Archive scheduling for LHC Run 4 | Slides · Video |
| Konstantina Skovola | CERN PGDay 2026 | speaker | A new PostgreSQL backend for CERN Tape Archive scheduling for LHC Run 4 | Slides · Video |
| Paris Moschovakos | CERN PGDay 2026 | speaker | DCS Data Tools - PostgreSQL/TimescaleDB Implementation for ATLAS DCS Time-Series Data | Slides · Video |
| Sanjiban Sengupta | PyData Paris 2025 | talk | Advancements in optimizing ML Inference at CERN | Slides · Video |
| Dominic Hollis | EuroPython 2025 | talk | Indico: the 20 year history and evolution of an open-source project at CERN | Video |
| Tomas Roun | EuroPython 2025 | talk | Indico: the 20 year history and evolution of an open-source project at CERN | Video |
| Tomas Roun | EuroPython 2025 | talk | PyJSX: Write JSX Directly in Python - No Strings Attached! | Video |
| Jonas Eschle | SciPy 2025 | speaker | zfit: scalable pythonic likelihood fitting | Slides |
| Sanjiban Sengupta | SciPy 2025 | speaker | Challenges and Implementations for ML Inference in High-energy Physics | Slides |
| Andrzej Nowicki | Nordic PGDay 2025 | speaker | From Queries to Pints: Building a Beer Recommendation System with pgvector | Slides |
| Andrzej Nowicki | FOSDEM 2025 | speaker | From Queries to Pints: Building a Beer Recommendation System with pgvector | Slides · Video |
| Andrzej Nowicki | CERN PGDay 2025 | speaker | From Queries to Pints: Building a Beer Recommendation System with pgvector | Slides · Video |
| Antonin Kveton | CERN PGDay 2025 | speaker | Optimizing time series data storage for CERN industrial control systems using TimescaleDB and PostgreSQL | Slides · Video |
| Martin Zemko | CERN PGDay 2025 | speaker | Optimizing time series data storage for CERN industrial control systems using TimescaleDB and PostgreSQL | Slides · Video |
| Miroslav Potocky | CERN PGDay 2025 | keynote | CERN introductory keynote: The role of PostgreSQL at CERN | Slides · Video |
| Rafal Kulaga | CERN PGDay 2025 | speaker | Optimizing time series data storage for CERN industrial control systems using TimescaleDB and PostgreSQL | Slides · Video |
| Ismael Posada Trobo | Swiss PGDay 2024 | speaker | Solving PostgreSQL connection scalability issues: Insights from CERN’s GitLab Service | Slides |
| Maurizio De Giorgi | Swiss PGDay 2024 | speaker | Solving PostgreSQL connection scalability issues: Insights from CERN’s GitLab Service | Slides |
| Emil Kleszcz | Community Over Code North America 2023 | speaker | Deploying Apache Ranger in the Big Data ecosystem at CERN | Slides |
| Ivan Sinkarenko | EuroPython 2023 | talk | The Python package repository accelerating software development at CERN | Video |
| Phil Elson | EuroPython 2023 | talk | The Python package repository accelerating software development at CERN | Video |
| Serena Palazzo | PyCon Italia 2023 | talk | How to use Deep Learning to process audio data and classify sounds. | Video |
| Diogo Castro | JupyterCon 2023 | speaker | Federated collaborative workflows for Jupyter | — |
| Jonas Hahnfeld | FOSDEM 2021 | speaker | An Environment for Interactive Parallel Programming with MPI and OpenMP | Slides · Video |
| Franck Pachot | PGConf.EU 2019 (11th PostgreSQL Conference Europe) | speaker | An Oracle DBA approach to troubleshoot PostgreSQL application performance | Slides |
| Adrian Mönnich | EuroPython 2019 | talk | useFlask() - or how to use a React frontend for your Flask app | Slides · Video |
| Marcel Raas | PyData Amsterdam 2019 | talk | Having fun with music and Keras | Video |