Data Conference Databasea Query.Farm index
Companies

Deepnote

Product category (jev): ML platforms 99% confident
Org type (jev): Software vendor 100% confident
Conferences sponsored4
Events sponsored4
Speaker slots115 distinct people
Conferences present at9sponsor or speaker
Years active2021–2025

Circuit mix

Where Deepnote shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.

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.

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.

  • Title
  • Silver
  • Other / unlabeled

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.

New 1

First sponsored in 2025 or later.

Pulled out 2

Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.

  • Coalescelast sponsored 2022; the conference ran again in 2026
  • Snowflake Summitlast sponsored 2022; the conference ran again in 2024–26

Once or on and off 1

No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.

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).

  1. Brooklyn Data Co0.77
  2. Rasgo0.74
  3. Mode0.73
  4. Census0.72
  5. Secoda0.70
  6. MotherDuck0.69
  7. Acryl Data0.67
  8. Zenlytic0.66

19 Cluster: Coalesce · Modern Data Stack Conference circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 4 this company sponsored).

Neighborhood: companies with nearby conference footprints

Deepnote (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.

DeepnoteRasgoModeBrooklyn Data CoCensusChalkPrefectContinualSteepSecodaAnalytics8KeeboMontreal AnalyticsLightdashCubeIndiciumphDataRudderStackTextQLDatafoldSelect StarEppoSDG GroupSisuEspresso AIBigeyeFoundationalEuno
DeepnoteRasgoModeBrooklyn Data CoCensusChalkPrefectMetaplaneSecodaAnalytics8KeeboMontreal AnalyticsCubeIndiciumphDataRudderStackTextQLDatafoldSelect StarEppoSDG GroupSisuEspresso AIBigeyeFoundational

Sponsorships 4

EventDatePlaceTier as listedNormalized tier
JupyterCon 2025Nov 3–6, 2025San Diego, United StatesDiamond Title
Modern Data Stack Conference 2023Apr 4–5, 2023San Francisco, United StatesSilver sponsors Silver
Coalesce 2022 New OrleansOct 17–21, 2022New Orleans, United StatesEcosystem Other
Snowflake Summit 2022Jun 13–16, 2022Las Vegas, United StatesMagic Carpet Partner Other

Speakers 11

SpeakerEventRoleTalkLinks
Christoffer ArtmannJupyterCon 2025demoDemo: 10x Your Data Workflows with Deepnote - in VSCode, or on Any Cloud—
Jakub JurovychJupyterCon 2025keynoteKeynote: Data Notebooks in the AI Decade—
Megan LieuData Day Texas + AI 2024speakerEvolving as a Data Scientist in the age of AI—
Megan LieuPyData NYC 2023speakerMachine Learning in your Data Warehouse using PythonVideo
Allan CampopianoPyCon US 2023speakerIt might look normal but this distribution will ruin your statsVideo
Allan CampopianoCoalesce 2022 New OrleansspeakerBut really, what is transformation?Video
Elizabeth DlhaCoalesce 2022 New OrleansspeakerBut really, what is transformation?Video
Elizabeth DlhaCoalesce 2022 New OrleansspeakerMinimum viable (data) product: Bringing a product mindset to analytics engineering with dbt and DeepnoteVideo
Allan CampopianoSciPy 2022speakerThe Myth of the Normal Curve and What to Do About It—
Elizabeth DlhaData Council Austin 2022talkNotebooks Got Your Modern Data Back—
Elizabeth DlhaCoalesce 2021speakerdbt, Notebooks and the modern data experienceSlides · Video