Data Conference Databasea Query.Farm index
Companies

GoDaddy

Product category (jev): Transformation & orchestration 65% confident
Org type (jev): End-user enterprise 83% confident
Also listed as: Go Daddy · GoDaddy, LLC · Godaddy
Conferences sponsored1
Events sponsored1
Speaker slots2622 distinct people
Conferences present at6sponsor or speaker
Years active2019–2026

Circuit mix

Where GoDaddy 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

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.

  • Gold

Where they've grown or pulled back

DownNothing recorded in 2026; sponsored 1 conference in 2020.

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.

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. Kiwi.com0.87
  2. Bluevine0.87
  3. Packt0.80
  4. Kraken0.79
  5. Peloton0.78
  6. Octopus Energy0.78
  7. Women Who Code0.78
  8. FanDuel0.77

16 Cluster: PyCon · EuroPython circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).

Neighborhood: companies with nearby conference footprints

GoDaddy (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.

GoDaddyCodethinkPacktNexmoKiwi.comManningBack MarketBluevineKrakenOctopus EnergyOrdina PythoneersEdgeDBCanonicalWomen Who CodeShopeeCartaJetBrainsYelpOxylabsWarsaw University of TechnologyJina AILinodeKlarnaVonageSticker MuleTNG Technology Consulting GmbHParity Technologies
GoDaddyCodethinkPacktNexmoKiwi.comManningBack MarketBluevineKrakenOctopus EnergyOrdina PythoneersEdgeDBCanonicalWomen Who CodeShopeeCartaJetBrainsYelpOxylabsJina AILinodeKlarnaVonageSticker MuleTNG Technology Consulting GmbHParity Technologies

Sponsorships 1

EventDatePlaceTier as listedNormalized tier
PyCon US 2020 (Online)Apr 15–23, 2020—Gold Gold

Speakers 26

SpeakerEventRoleTalkLinks
Jasdeep Singh BhallaAWS re:Invent 2026lightning talkNine Seconds to Zero: Protecting AWS from AI Agent Disasters—
Cesar Mateo Gonzalez RodriguezPyCon Colombia 2026workshopHow to Find Pearls on the Bottom of the Sea - Autoencoders as Anomaly Detection Model—
Puneet KhushwaniPyCon US 2026speakerDemystifying Python’s Memory ManagementVideo
Jake MinetteAWS re:Invent 2025breakoutDemocratize access to insights with Amazon Quick SuiteVideo
Keith BartholomewAWS re:Invent 2025breakoutFrom code to cloud: Accelerate application development with Amazon ECSVideo
Brandon AbearAirflow Summit 2025talkData & AI Orchestration at GoDaddyVideo
NitishPyCon AU 2025talkBuilding Production-Ready MCP Servers: From Protocol to PatternsVideo
Param RajaniPyCon India 2025talkCelery and Kubernetes for a Fast, Scalable, and Robust Workflow Orchestration—
Ankush PrasadAWS re:Invent 2024breakoutAccelerate ML workflows with Amazon SageMaker StudioVideo
Nicholas KoenigAWS re:Invent 2024breakout[NEW LAUNCH] Simplify business scenario analysis with Amazon Q in QuickSightVideo
Thomas CostelloAWS re:Invent 2024breakoutGain visibility into your software spend with AWS MarketplaceVideo
Amit KumarAirflow Summit 2024talkEvolution of Orchestration at GoDaddy: A Journey from On-prem to Cloud-based Single Pane Model—
Ozcan IlikhanAirflow Summit 2024talkEvolution of Orchestration at GoDaddy: A Journey from On-prem to Cloud-based Single Pane Model—
Damian Silbergleith CunniffAWS re:Invent 2023breakoutGovernance and security with infrastructure as codeVideo
Ed SarausadAWS re:Invent 2023breakoutGenerative BI in Amazon QuickSightVideo
Ozcan ILIKHANAWS re:Invent 2023chalk talkOptimizing Apache Spark workloads with Amazon EMR Serverless—
Amit KumarAirflow Summit 2023talkAirflow at GoDaddy: From on-prem to cloud to PaaS—
Travis MuhlesteinAWS re:Invent 2022breakoutBuilding data mesh architectures on AWSSlides · Video
Ankit JhalariaBeam Digital Summit 2020speakerBuilding stateful streaming pipelines with BeamVideo
Shreya KhuranaEuroPython 2020 OnlinetalkTrain. Serve. Deploy! Story of a NLP Model ft. PyTorch, Docker, Uwsgi and NginxSlides · Video
Ankit JhalariaFlink Forward Virtual Conference 2020speakerBuilding Stateful Streaming Pipelines—
Damian Silbergleith CunniffAWS re:Invent 2019breakout[REPEAT 1] Oversubscription at scale: Running tons of containers with KubernetesSlides · Video
Ed AbramsAWS re:Invent 2019breakout[REPEAT 1] Oversubscription at scale: Running tons of containers with KubernetesSlides · Video
Jared BeauchampAWS re:Invent 2019breakoutAutomate everything: Options and best practicesSlides · Video
Ketan PatelAWS re:Invent 2019breakoutAutomate everything: Options and best practicesSlides · Video
Timothy NgAWS re:Invent 2019breakout[REPEAT 1] Building a streaming data platform with Amazon KinesisSlides · Video