Companies
Zalando
Product category: unsure; best guess “Not a vendor” at 45% confidence, so it isn't used in filters or charts
Org type: End-user enterprise 99% confident
Also listed as 2 other names
ZALANDO SE · Zalando SE
Conferences sponsored5
Events sponsored5
Speaker slots5633 distinct people
Conferences present at28sponsor or speaker
Years active2019–2026
Talks, past 12 months18#58 on the communication index · many voices · −30% this yearCircuit mix
Where Zalando shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Postgres & open-source databases32%14 events
- Enterprise, analyst & AI expos19%9 events
- Python & R data science13%4 events
- Open-source data infrastructure11%4 events
- Modern data stack & practitioner6%3 events
- Cloud providers6%3 events
- Vendor flagships & roadshows4%2 events
- AI engineering & MLOps4%2 events
- Research4%1 event
The year around now
Conferences where Zalando 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
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
11
2
2
4
2
4
8
10
Distinct speakers
People from this company on a program that year, each counted once.
8
1
2
3
2
3
10
15
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Gold
- Bronze
- Other / unlabeled
3
1
1
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.
Once or on and off 5
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- Berlin Buzzwordsonce, 2019, unranked tier
- EuroPythononce, 2022, Bronze
- NeurIPS (Conference on Neural Information Processing Systems)once, 2020, Gold
- PGConf.dev (formerly PGCon)once, 2019, unranked tier
- PyDataonce, 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).
3 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 5 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Microsoft | 4 | 80% |
| Amazon Web Services | 3 | 60% |
| Bloomberg | 3 | 60% |
| 3 | 60% | |
| Arm | 2 | 40% |
| eBay | 2 | 40% |
| Hudson River Trading | 2 | 40% |
| IBM | 2 | 40% |
| idealo internet GmbH | 2 | 40% |
| Pluralsight | 2 | 40% |
| Salesforce | 2 | 40% |
| Sticker Mule | 2 | 40% |
| 1Password | 1 | 20% |
| 2ndQuadrant | 1 | 20% |
| 5th Digital Future Science Match | 1 | 20% |
Neighborhood: companies with nearby conference footprints
Zalando (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 5
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| EuroPython 2022 | Jul 11–17, 2022 | Dublin, Ireland | Bronze | Bronze |
| NeurIPS 2020 | Dec 6–12, 2020 | — | Gold | Gold |
| PyCon DE & PyData Berlin 2019 | Oct 9–11, 2019 | Berlin, Germany | Gold | Gold |
| Berlin Buzzwords 2019 | Jun 16–18, 2019 | Berlin, Germany | Contributor | Other |
| PGCon 2019 | May 28–31, 2019 | Ottawa, Canada | Travel Sponsor | Other |
Speakers 56
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Polina Bungina | PGConf.PL 2026 | speaker | What is Patroni, really? | — |
| Polina Bungina | PGConf.EU 2026 (16th PostgreSQL Conference Europe) | speaker | What is Patroni, really? | Slides |
| Satej Kumar Sahu | Big Data LDN 2026 | speaker | From “Data Swamps” to “Searchable Reality”: Building a Semantic Metadata Layer with LLMs + Graphs | — |
| Jan Brennenstuhl | AGNTCon + MCPCon Europe 2026 | speaker | Economies of Scale for MCP and Agents: Why You Need an Identity Broker | — |
| Magnus Jungsbluth | AGNTCon + MCPCon Europe 2026 | speaker | Economies of Scale for MCP and Agents: Why You Need an Identity Broker | — |
| Satej Sahu | Airflow Summit 2026 | online reconnect talk | Adaptive DAGs: Dynamic Query Plan Rewriting and Runtime Task Re-sizing in Airflow | — |
| Fabian Halkivaha | Data + AI Summit 2026 | speaker | Stop Arguing About Numbers: How Zalando Scales Governance With Unity Catalog and Metric Views | — |
| Mukrram Ur Rahman | Data + AI Summit 2026 | speaker | Stop Arguing About Numbers: How Zalando Scales Governance With Unity Catalog and Metric Views | — |
| Satej Kumar Sahu | OpenXData 2026 (April) | speaker | Guardrails for Agentic AI: Governing Auto-Generated SQL and Spark Jobs Before Production | Video |
| Sergey Dudoladov | PGConf.DE 2026 | speaker | Into the Woods: Finding Your Way with B-Trees in PostgreSQL | — |
| Akshay Apte | Data & AI Warsaw Tech Summit 2026 | speaker | Smarter Data Pipelines: How Observability Drives Cost Efficiency in the Cloud | — |
| Abdullah Taha | PyCon DE & PyData 2026 | talk | Holistic Optimization: Implementing "Pipeline-as-a-Trial" HPO with Ray and Cloud Infra | — |
| Alejandro Saucedo | PyCon DE & PyData 2026 | talk | Production ML across 2015-2035: A Journey to the Past and the Future | — |
| Dr. Irena Bojarovska | PyCon DE & PyData 2026 | talk | Foundation Models in Forecasting: Are We There Yet? Lessons from the Trenches | — |
| Mones Raslan | PyCon DE & PyData 2026 | talk | How to compare apples with oranges: Proper evaluation of article-level demand forecasts | — |
| Petar Ilijevski | PyCon DE & PyData 2026 | talk | Zero-Copy or Zero-Speed? The hidden overhead of PySpark, Arrow & SynapseML for inference | — |
| Stefan Birr | PyCon DE & PyData 2026 | talk | How to compare apples with oranges: Proper evaluation of article-level demand forecasts | — |
| Daniela Nigro | DACH AI, Data Analytics and Insights Summit 2025 | speaker | — | — |
| Bassma Elrafie | CDAO Benelux 2025 | panelist | Panel Discussion: From Data to Value: Leading Transformation in Complex Enterprises | — |
| Eugene Klyuchnikov | NDSML Summit 2025 + AI2R Expo (10th edition) | speaker | — | — |
| Polina Bungina | PGConf.EU 2025 (15th PostgreSQL Conference Europe) | speaker | Hazards of logical decoding in PostgreSQL | — |
| Sergey Dudoladov | PGConf.EU 2025 (15th PostgreSQL Conference Europe) | speaker | The Lifecycle of a SELECT: A Glimpse into the Depths of PostgreSQL Internals | — |
| Polina Bungina | HOW2025: PostgreSQL & IvorySQL Eco Conference | talk | What is Patroni, really? | — |
| Alejandro Saucedo | Data + AI Summit 2025 | speaker | The Future of Real Time Insights with Databricks and SAP | — |
| Olaf Melchior | Data + AI Summit 2025 | speaker | The Future of Real Time Insights with Databricks and SAP | — |
| Satej Kumar Sahu | Data + AI Summit 2025 | speaker | Leveraging GenAI for Synthetic Data Generation to Improve Spark Testing and Performance in Big Data | — |
| András Váczi | PGConf.DE 2025 | speaker | András in Windowsland - a DBA's (mis)adventures | — |
| Polina Bungina | PGConf.DE 2025 | speaker | What is Patroni, really? | — |
| Sergey Dudoladov | PGConf.DE 2025 | speaker | The Lifecycle of a SELECT: A Glimpse into the Depths of PostgreSQL Internals | — |
| Akshay Apte | Data & AI Warsaw Tech Summit 2025 | speaker | Data Governance and Access Control in GCP BigQuery | — |
| Sebastian Herold | AWS re:Invent 2024 | breakout | Modernize your data warehouse by moving to Amazon Redshift | Video |
| Mikio Braun | data2day 2024 | talk | Road to Production mit Generative AI und LLMs, was hat sich geändert? | — |
| Sebastian Herold | Data Innovation Summit 2024 | featured | — | — |
| Olamilekan Wahab | PyCon DE & PyData Berlin 2024 | talk | The evolution of Feature Stores | — |
| Sebastian Herold | data2day 2023 | talk | Metadatenautomation im Data Mesh | — |
| Polina Bungina | Prague PostgreSQL Developer Day 2023 | speaker | Failsafe Patroni 3.0 | Slides |
| Sergii Pylypchuk | AWS re:Invent 2022 | breakout | Store features across teams with Amazon Feature Store, featuring Zalando | Slides · Video |
| Alexander Kukushkin | PGConf.DE 2022 | speaker | Implementing failover of logical replication slots in Patroni | Slides |
| Max Schultze | Data Innovation Summit 2022 | featured | — | — |
| Max Schultze | Data Innovation Summit 2021 | featured | — | — |
| Alexander Kukushkin | DoK Day North America 2021 (at KubeCon + CloudNativeCon North America 2021) | speaker | Postgres on Kubernetes Applied at Scale in Zalando | — |
| Alexander Kukushkin | PGConf.DE 2020 | speaker | PostgreSQL on K8S at Zalando: Two years in production | — |
| Suhas Guruprasad | AWS re:Invent 2019 | breakout | [REPEAT] Implement ML workflows with Kubernetes and Amazon SageMaker | Slides · Video |
| Suhas Guruprasad | AWS re:Invent 2019 | breakout | [REPEAT 1] Implement ML workflows with Kubernetes and Amazon SageMaker | Slides · Video |
| Alexey Kurennoy | Haystack Europe 2019 | speaker | How to Kill Two Birds with One Stone: Learning to Rank with Multiple Objectives | Slides · Video |
| Henning Esser | data2day 2019 | talk | ML takes control – Converting Business Rules into Machine Learning Features | — |
| Patrick Baier | data2day 2019 | talk | ML takes control – Converting Business Rules into Machine Learning Features | — |
| Dmitry Dolgov | PGConf.EU 2019 (11th PostgreSQL Conference Europe) | speaker | Patroni in 2019: What's New and Future Plans | Slides |
| Varya | PyCon DE & PyData Berlin 2019 | talk | 🌈Apache Airflow for beginners | — |
| Alexander Kukushkin | PGConf.Asia 2019 | speaker | PostgreSQL on K8S at Zalando: two+ years in production | — |
| Alexander Kukushkin | PGConf.Asia 2019 | speaker | Patroni in 2019: What's New and Future Plans | — |
| Alexander Kukushkin | PGCon 2019 | tutorial | Understanding and implementing PostgreSQL High Availability with Patroni | Slides |
| Alexander Kukushkin | PGCon 2019 | speaker | Highway to Hell or Stairway to Cloud? | Slides |
| Alexander Kukushkin | Postgres Conference 2019 (PostgresConf US 2019) | speaker | Understanding and implementing PostgreSQL High Availability with Patroni | Slides |
| Lionel Montrieux | FOSDEM 2019 | speaker | Nakadi: Streaming Events for 100s of Teams | Video |
| Alexander Kukushkin | FOSDEM PGDay 2019 | speaker | How not to screw up when building HA cluster | Slides |