Dataform
Circuit mix
Where Dataform shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Modern data stack & practitioner67%2 events
- Enterprise, analyst & AI expos33%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 |
|---|---|---|---|---|---|---|---|---|
| Data Council | ||||||||
| Big Data LDN |
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.
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 2 conferences in 2019.
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 2
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- Big Data LDNonce, 2019, tier not listed
- Data Councilonce, 2019, unranked tier
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 3 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Datadog | 2 | 67% |
| IBM | 2 | 67% |
| Microsoft | 2 | 67% |
| Qubole | 2 | 67% |
| Snowplow | 2 | 67% |
| Actian | 1 | 33% |
| Aerospike | 1 | 33% |
| AgensGraph | 1 | 33% |
| Algorithmia | 1 | 33% |
| Alteryx | 1 | 33% |
| Altis Consulting | 1 | 33% |
| ArangoDB | 1 | 33% |
| Arrow | 1 | 33% |
| Ascend.io | 1 | 33% |
| ASG Technologies | 1 | 33% |
Sponsorships 3
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| Big Data LDN 2019 | Nov 13–14, 2019 | London, United Kingdom | Exhibitor | Unlabeled |
| Data Council New York City 2019 | Nov 12–13, 2019 | New York, United States | Partner | Other |
| Data Council Barcelona 2019 | Oct 2–3, 2019 | Barcelona, Spain | Partner | Other |
Speakers 1
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Lewis Hemens | Data Council Barcelona 2019 | talk | Why We Defined a Metalanguage for SQL | — |