Data Conference Databasea Query.Farm index
Companies

Indeed

Product category: Not a vendor 51% confident
Org type: Consultancy 64% confident
Also listed as 1 other name

Indeed Japan株式会社

Conferences sponsored4
Events sponsored11
Speaker slots1513 distinct people
Conferences present at10sponsor or speaker
Years active2019–2026
Talks, past 12 months9#172 on the communication index · many voices

Circuit mix

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

The year around now

Conferences where Indeed sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.

JanFebMarAprMayJunJulAugSepOctNovDecPyConPyCon (national Python conferences)Snowflake SummitSnowflake SummitAI EngineerAI Engineer (World's Fair, Summit and regional editions)CurrentCurrent (formerly Kafka Summit)AWS re:InventAWS re:Invent
Held in the past 12 months Next 12 months Today, Nov 9, 2026

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
Conference20192020202120222023202420252026
PyCon (national Python conferences)
AWS re:Invent
Current (formerly Kafka Summit)
AI Engineer (World's Fair, Summit and regional editions)
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Snowflake Summit
Strata Data Conference
AI Con USA
DASH
PyData

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.

  • Platinum
  • Gold
  • Silver
  • Bronze
  • Other / unlabeled

Where they've grown or pulled back

UpSponsored 2 conferences in 2026, up from 1 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 1

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

Once or on and off 2

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. Jina AI0.82
  2. Oxylabs0.82
  3. Nixtla0.80
  4. Novetta0.79
  5. Feedzai0.77
  6. DeepLearning.AI0.77
  7. Peloton0.75
  8. NIQ0.75

6 Cluster: PyCon · EuroPython circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 11 this company sponsored).

CompanyShared eventsShare
Amazon Web Services11100%
Bloomberg982%
Microsoft982%
Elastic873%
JetBrains873%
Red Hat873%
Anaconda764%
Capital One764%
Google764%
Meta764%
NVIDIA764%
Sentry764%
Hudson River Trading655%
Netflix655%
PyLadies655%

Neighborhood: companies with nearby conference footprints

Indeed (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.

IndeedOxylabsJina AINixtlaMySQLBARCWayfairAmerican ExpressSquareNHS EnglandDAGWorks IncSticker MuleSeznam.czPonderObservableCartaBank of AmericaElementlKenshoLinodeGeneraliTravelokaEdgeDBGoDaddyResearch AffiliatesNovettaBack MarketNexmoDeepLearning.AISuperblocks
IndeedOxylabsJina AINixtlaMySQLBARCWayfairAmerican ExpressSquareNHS EnglandDAGWorks IncSticker MuleSeznam.czPonderObservableCartaBank of AmericaElementlKenshoLinodeCodethinkGeneraliTravelokaEdgeDBNovettaBack MarketSuperblocks

Sponsorships 11

EventDatePlaceTier as listedNormalized tier
AI Engineer World's Fair 2026Jun 29, 2026 – Jul 2, 2026San Francisco, United StatesSupporting Partners Other
PyCon US 2026May 13–19, 2026Long Beach, United StatesSupporting Bronze
PyCon US 2025May 14–22, 2025Pittsburgh, United StatesContributing Silver
PyCon US 2024May 15–23, 2024Pittsburgh, United StatesContributing Silver
PyCon US 2023Apr 19–27, 2023Salt Lake City, United StatesMaintaining Gold
PyCon JP 2022Oct 14–15, 2022Tokyo, JapanSilver Silver
PyCon US 2022Apr 27, 2022 – May 3, 2022Salt Lake City, United StatesMaintaining Gold
PyCon India 2019Oct 12–15, 2019Chennai, IndiaPlatinum Platinum
KDD 2019 (25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining)Aug 4–8, 2019Anchorage, United StatesExhibitor Other
PyCon US 2019May 1–9, 2019Cleveland, United StatesGold Gold
Strata Data Conference London 2019Apr 29, 2019 – May 2, 2019London, United KingdomExhibitors Other

Speakers 15

SpeakerEventRoleTalkLinks
Gayathri VealeCurrent San Francisco 2026keynoteAll your business, always current—
Sage PierceCurrent San Francisco 2026speakerQueues, Ordering, and Long-Running Tasks in Kafka with Atleon—
Dustin MihalikAI Engineer World's Fair 2026speakerMCP Apps: Give the Model Data, Give the User a UI—
David SchwarzSnowflake Summit 26speakerApache Iceberg at Scale: Lessons from Affirm, Booking.com, DoorDash and Indeed—
Mike CohenSnowflake Summit 26speakerIndeed’s Playbook: Auto-Scaling APIs, Lower TCO and Fast Queries on Snowflake—
Sainath RachaputiSnowflake Summit 26speakerIndeed’s Playbook: Auto-Scaling APIs, Lower TCO and Fast Queries on Snowflake—
Lewis BakerAWS re:Invent 2025breakoutFrom principles to practice: Scaling AI responsibly with IndeedVideo
Min LiAWS re:Invent 2025breakoutAmazon S3 Tables architecture, use cases, and best practicesVideo
Venkatesh MandalapaAWS re:Invent 2025lightning talkIndeed's migration to Amazon S3 TablesVideo
Sage PierceCurrent New Orleans 2025speakerEvent Driven Views With Ingest-Materialize-Index Stream Topology—
Dionny SantiagoAI Con USA 2024tutorialGetting Started with AI and Machine Learning—
Dionny SantiagoAI Con USA 2024keynoteAI: A Moderated Panel Discussion—
Taryn HeilmanAWS re:Invent 2023breakout[NEW LAUNCH] Coming soon—
Jaime WooDASH 2023speaker——
Samuel TaylorPyData Austin 2019speakerMachine Learning Crash CourseVideo