Rokt
Circuit mix
Where Rokt 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 & practitioner73%6 events
- Python & R data science27%2 events
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 |
|---|---|---|---|---|---|---|---|---|---|---|
| DataEngBytes | ||||||||||
| PyCon (national Python conferences) | ||||||||||
| 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.
- Platinum
- Gold
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2023.
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.
- PyCon (national Python conferences)once, 2019, Gold
- PyDataonce, 2024, Platinum
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 7 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Snowflake | 6 | 86% |
| Cloud Shuttle | 5 | 71% |
| Microsoft | 5 | 71% |
| Neo4j | 5 | 71% |
| Aiven | 4 | 57% |
| Cevo | 4 | 57% |
| Coalesce | 4 | 57% |
| Databricks | 4 | 57% |
| Decube | 4 | 57% |
| EDB | 4 | 57% |
| Fivetran | 4 | 57% |
| Instaclustr | 4 | 57% |
| Kaleida | 4 | 57% |
| Komatsu | 4 | 57% |
| Mantel Group | 4 | 57% |
Sponsorships 7
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| DataEngBytes 2025 Sydney | Jul 29–30, 2025 | Sydney, Australia | Gold | Gold |
| PyData NYC 2024 | Nov 6–8, 2024 | New York, United States | Platinum | Platinum |
| DataEngBytes 2023 Melbourne | Aug 31, 2023 | Melbourne, Australia | Gold | Gold |
| DataEngBytes 2023 Brisbane | Aug 29, 2023 | Brisbane, Australia | Gold | Gold |
| DataEngBytes 2023 Sydney | Aug 25, 2023 | Sydney, Australia | Gold | Gold |
| DataEngBytes 2023 Perth | Aug 22, 2023 | Perth, Australia | Gold | Gold |
| PyCon AU 2019 | Aug 2–6, 2019 | Sydney, Australia | Gold | Gold |
Speakers 3
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Avinash Idnani | DataEngBytes 2025 Sydney | speaker | Why We Built Our Own Feature Store (and How It Scales ML at Rokt) | Video |
| Harpreet Singh | DataEngBytes 2025 Sydney | speaker | Spark Structured Streaming Autoscaling | — |
| Caroline Even | DataEngBytes 2022 Melbourne | panelist | Panel discussion - Melbourne | Video |