Data Conference Databasea Query.Farm index
Companies

Coiled

Product category (jev): Transformation & orchestration 52% confident
Org type (jev): Software vendor 93% confident
Also listed as: Coiled Computing · Coiled.io
Conferences sponsored6
Events sponsored20
Speaker slots258 distinct people
Conferences present at6sponsor or speaker
Years active2021–2025

Circuit mix

Where Coiled 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.

  • Title
  • Platinum
  • Gold
  • Silver
  • Bronze
  • Other / unlabeled tier
  • Had speakers
Conference2019202020212022202320242025202620272028
PyData
SciPy Conference (Scientific Computing with Python)
PyCon (national Python conferences)
ODSC (Open Data Science Conference)
JupyterCon
STAC Summit

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
  • Silver
  • Other / unlabeled

Where they've grown or pulled back

DownNothing recorded in 2026; sponsored 3 conferences 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.

Moved down 2

Best tier fell between the first and latest year with a ranked tier.

Steady 2

Sponsored in most years of its span at the same tier.

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. Streamlit0.90
  2. Space Telescope Science Institute0.89
  3. Saturn Cloud0.88
  4. Cubist Systematic Strategies0.87
  5. Ploomber0.86
  6. Quansight0.84
  7. Covalent0.82
  8. The George Washington University0.81

8 Cluster: PyData · posit::conf circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 20 this company sponsored).

CompanyShared eventsShare
Quansight1260%
Microsoft1050%
Anaconda945%
Google840%
NVIDIA840%
Posit840%
Amazon Web Services735%
Bloomberg735%
NumFOCUS735%
Two Sigma735%
Cubist Systematic Strategies630%
Hopsworks630%
JetBrains630%
PyLadies630%
Python Software Foundation630%

Neighborhood: companies with nearby conference footprints

Coiled (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.

CoiledCovalentSaturn CloudThe George Washington UniversityPositNumFOCUSMozillaQuansightPloomberAnacondaVoltron DataBCGUniversity of Illinois Urbana-ChampaignQuantStackprefix.devOpenTeamsRice UniversityAustralian National UniversityUniversity of VirginiaUniversity of MarylandUniversity of Copenhagenfast.aiDevITJobsWherobotsUniversity of British ColumbiaAnyscaleDatarootsParity TechnologiesUniversity of Chicago
CoiledCovalentSaturn CloudPositNumFOCUSMozillaQuansightStreamlitAnacondaVoltron DataBCGUniversity of Illinois Urbana-ChampaignQuantStackprefix.devOpenTeamsRice UniversityAustralian National UniversityUniversity of Marylandfast.aiDevITJobsWherobotsUniversity of British ColumbiaAnyscaleParity Technologies

Sponsorships 20

EventDatePlaceTier as listedNormalized tier
STAC Summit New York, Fall 2025Oct 28, 2025New York, United StatesADDITIONAL EXHIBITORS Other
PyCon US 2025May 14–22, 2025Pittsburgh, United StatesPartner Other
PyData NYC 2024Nov 6–8, 2024New York, United StatesGold Gold
ODSC West 2024Oct 29–31, 2024Burlingame, United StatesSilver Partners Silver
SciPy 2024Jul 8–14, 2024Tacoma, United StatesGold Gold
PyData London 2024Jun 14–16, 2024London, United KingdomGold Gold
PyCon US 2024May 15–23, 2024Pittsburgh, United StatesPartner Other
PyCon DE & PyData Berlin 2024Apr 22–24, 2024Berlin, GermanyGold Gold
PyData NYC 2023Nov 1–3, 2023New York, United StatesGold Gold
PyData Amsterdam 2023Sep 14–16, 2023Amsterdam, NetherlandsGold Sponsors Gold
SciPy 2023Jul 10–16, 2023Austin, United StatesGold Gold
PyData London 2023Jun 2–4, 2023London, United KingdomGold Gold
JupyterCon 2023May 10–12, 2023Paris, FranceGold Gold
PyData Seattle 2023Apr 26–28, 2023Redmond, United StatesGold Gold
PyCon DE & PyData Berlin 2023Apr 17–19, 2023Berlin, GermanyGold Gold
PyCon US 2022Apr 27, 2022 – May 3, 2022Salt Lake City, United StatesContributing Silver
ODSC East 2022Apr 19–21, 2022Boston, United StatesGold Partners Gold
PyCon DE & PyData Berlin 2022Apr 11–13, 2022Berlin, GermanyGold Gold
PyData Global 2021Oct 28–30, 2021—Gold Gold
SciPy 2021Jul 12–18, 2021United StatesPlatinum Platinum

Speakers 25

SpeakerEventRoleTalkLinks
Hendrik MakaitPyData Paris 2024talkGeoscience at Massive Scale—
Patrick HoeflerPyData Paris 2024talkBuilding Large Scale ETL Pipelines with Dask—
James BourbeauSciPy 2024speakerPandas + Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars—
Hendrik MakaitPyData London 2024talkObservability for Dask in Production—
Patrick HoeflerPyData London 2024talkDask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars—
Patrick HoeflerPyCon US 2024speakerPandas + Dask DataFrame 2.0 - Comparison to Spark, DuckDB and PolarsVideo
Patrick HoeflerPyCon DE & PyData Berlin 2024talkPandas + Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars—
Matthew RocklinPyData NYC 2023speakerSpark, Dask, DuckDB, and Polars: BenchmarksVideo
Patrick HoeflerPyData NYC 2023speakerThe Arrow revolution in pandas and DaskVideo
Patrick HoeflerPyData NYC 2023tutorialDask tutorialVideo
Naty ClementiSciPy 2023tutorialAdvanced Dask Tutorial—
Hendrik MakaitJupyterCon 2023tutorialDask and Distributed Computing—
Matthew RocklinJupyterCon 2023speakerDistributed Data Science for Humans with Dask—
Matthew RocklinJupyterCon 2023tutorialDask and Distributed Computing—
Naty ClementiPyData Seattle 2023speakerOpen Source meets Enterprise: The right way.Video
Guido ImperialePyCon DE & PyData Berlin 2023talkData-driven design for the Dask scheduler—
Hendrik MakaitPyCon DE & PyData Berlin 2023talkObservability for Distributed Computing with Dask—
Patrick HoeflerPyCon DE & PyData Berlin 2023tutorialLet's contribute to pandas (3 hours) #1—
Patrick HoeflerPyCon DE & PyData Berlin 2023talkPandas 2.0 and beyond—
Patrick HoeflerPyCon DE & PyData Berlin 2023tutorialLet's contribute to pandas (3 hours) #2—
Naty ClementiSciPy 2022speakerDask User's Round-table—
Richard PelgrimPyData London 2022tutorialData Science at Scale with Dask—
Guido ImperialePyCon DE & PyData Berlin 2022talkIntroducing the Dask Active Memory Manager—
Richard PelgrimPyCon DE & PyData Berlin 2022tutorialData Science at Scale with Dask—
Adam BreindelPyCon US 2021 (Online)speakerDask-SQL: Empowering Pythonistas for Scalable End-to-End Data Engineering and Data ScienceVideo