Data Conference Databasea Query.Farm index
Companies

Nielsen

Product category (jev): unsure; best guess “Data providers” at 42% confidence, so it isn't used in filters or charts
Org type (jev): Software vendor 58% confident
Also listed as: Nielsen Marketing Cloud · Nielsen Sports
Conferences sponsored2
Events sponsored2
Speaker slots1611 distinct people
Conferences present at7sponsor or speaker
Years active2019–2025

Circuit mix

Where Nielsen 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.

  • Silver
  • Other / unlabeled

Where they've grown or pulled back

DownNothing recorded in 2026; sponsored 1 conference in 2025.

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.

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. The Walt Disney Company0.70
  2. Verizon0.69
  3. GoDaddy0.67
  4. FanDuel0.65
  5. Peloton0.64
  6. Seznam.cz0.63
  7. New Relic0.63
  8. SoftServe0.63

16 Cluster: PyCon · EuroPython circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 2 this company sponsored).

Neighborhood: companies with nearby conference footprints

Nielsen (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.

NielsenFanDuelSlackSoftServeRivianNew RelicAlphaSenseFastlyNasdaqZendeskNexiHerokuPelotonTakedaCockroach LabsValkeyCircleCIOktaSentinelOneLaunchDarklyGitHubNovettaAmerican ExpressDatadogEricssonGemini DataMercado LibreBARCSwiss ReWayfairMichelin
NielsenFanDuelSlackSoftServeRivianAlphaSenseFastlyNasdaqZendeskNexiHerokuPelotonTakedaCockroach LabsValkeyCircleCIOktaSentinelOneGitHubNovettaAmerican ExpressDatadogEricssonGemini DataMercado LibreBARCSwiss ReWayfairMichelin

Sponsorships 2

EventDatePlaceTier as listedNormalized tier
DDAC 2025Sep 8–10, 2025Lake Buena Vista, United StatesShowcase Other
PyCon US 2020 (Online)Apr 15–23, 2020—Silver Silver

Speakers 16

SpeakerEventRoleTalkLinks
Chandra SreeramanAWS re:Invent 2025breakoutUnlock the power of Kiro steering: Your blueprint for scalable developmentVideo
Ido NadlerBerlin Buzzwords 2022talkScaling your Kafka pipeline can be a pain - but it doesn’t have to be!!Video
Opher DubrovskyBerlin Buzzwords 2022talkScaling your Kafka pipeline can be a pain - but it doesn’t have to be!!Video
Simona MeriamDataEngBytes 2021speakerLogging Apache Spark - How we made it easyVideo
Opher DubrovskyAWS re:Invent 2020breakoutProcessing 250 billion ad events a day with Amazon EKS & serverlessSlides · Video
Opher DubrovskyAWS re:Invent 2020breakoutManaging the serverless challenge: Running big data on AWS LambdaSlides · Video
Yaar ReuveniAWS re:Invent 2020breakoutProcessing 250 billion ad events a day with Amazon EKS & serverlessSlides · Video
Itai YaffeAirflow Summit 2020talkMigrating Airflow-based Spark jobs to Kubernetes - the native waySlides · Video
Michael HewittAirflow Summit 2020talkAirflow on Kubernetes: Containerizing your workflowsSlides · Video
Roi TevethAirflow Summit 2020talkMigrating Airflow-based Spark jobs to Kubernetes - the native waySlides · Video
Scott N BrownAWS re:Invent 2019leadership sessionLeadership session: Digital marketing and ad technologySlides · Video
Sudhir KakullaAWS re:Invent 2019breakout[REPEAT 1] Deep dive on Arm-based EC2 instances powered by AWS GravitonSlides · Video
Tejas DesaiAWS re:Invent 2019leadership sessionLeadership session: Digital marketing and ad technologySlides · Video
Tejas DesaiAWS re:Invent 2019breakout[REPEAT 1] Migrate your data warehouse to the cloud in record time, featuring NielsenSlides · Video
Itai YaffeDataWorks Summit Barcelona 2019speakerCounting Unique Users in Real-Time: Here's a Challenge for You!—
Itai YaffeDataWorks Summit Barcelona 2019speakerStream, Stream, Stream: Different Streaming Methods with Spark and Kafka—