Mango Solutions
Circuit mix
Where Mango Solutions shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Enterprise, analyst & AI expos40%1 event
- Python & R data science40%2 events
- Modern data stack & practitioner20%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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Big Data LDN | ||||||||||
| EARL (Enterprise Applications of the R Language) | ||||||||||
| Data Council | ||||||||||
| posit::conf (formerly rstudio::conf) |
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.
- Silver
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2021.
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.
- Big Data LDNonce, 2021, Silver
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).
- University of Warwick0.82
- Winfried Etzel AS0.71
- Y420.68
- Nextdata0.67
- Echo Analytics0.60
- Stackable0.59
- EM360Tech0.58
- Tobiko Data0.58
19 Cluster: Coalesce · Modern Data Stack Conference 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 |
|---|---|---|
| Actian | 1 | 100% |
| Advancing Analytics | 1 | 100% |
| Aerospike | 1 | 100% |
| Ahana | 1 | 100% |
| Alteryx | 1 | 100% |
| Astrato | 1 | 100% |
| Ataccama | 1 | 100% |
| BigID | 1 | 100% |
| Billigence | 1 | 100% |
| Biztory | 1 | 100% |
| CARTO | 1 | 100% |
| Collibra | 1 | 100% |
| Confluent | 1 | 100% |
| Cynozure | 1 | 100% |
| Databricks | 1 | 100% |
Neighborhood: companies with nearby conference footprints
Mango Solutions (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.
- Coalesce · Modern Data Stack Conference circuit 8
- Databricks Data + AI World Tour · Snowflake World Tour circuit 7
- ODSC · MLOps World circuit 4
- Big Data & AI Paris · Gartner Data & Analytics Summit circuit 3
- PyData · posit::conf circuit 2
- Gartner Data & Analytics Summit · Snowflake Summit circuit 2
- PGDays & regional Postgres events · PostgreSQL Conference Europe circuit 2
- CIDR · ACM SIGMOD/PODS circuit 1
- Current · Data Streaming Summit circuit 1
- PyCon · EuroPython circuit 1
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| Big Data LDN 2021 | Sep 22–23, 2021 | London, United Kingdom | Silver Sponsors | Silver |
Speakers 4
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Carmen Herrero | Data Council Barcelona 2019 | talk | A Machine Learning Approach to Optimize Prices During Clearance Sales at MANGO | — |
| Doug Ashton | EARL London 2019 | talk | Rapid Reproducible R Projects | — |
| Kasia Kulma | EARL London 2019 | talk | Integrating empathy in the Data Science process | — |
| Mark Sellors | rstudio::conf 2019 | speaker | R in Production | Slides · Video |