Data Conference Databasea Query.Farm index
Companies

Ponder

Product category (jev): unsure; best guess “Transformation & orchestration” at 39% confidence, so it isn't used in filters or charts
Org type (jev): Software vendor 83% confident
Conferences sponsored2
Events sponsored2
Speaker slots85 distinct people
Conferences present at7sponsor or speaker
Years active2022–2026

Circuit mix

Where Ponder 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.

  • 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.

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. Elementl0.79
  2. OtterTune0.76
  3. DAGWorks Inc0.72
  4. Mooncake Labs0.68
  5. Braintree Payments / PayPal0.66
  6. Seznam.cz0.66
  7. Navicat0.64
  8. Michelin0.64

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

Ponder (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.

PonderElementlDAGWorks IncMySQLSwiss ReEricssonBARCGemini DataShopeeRestateLinodeSeznam.czMichelinWomen Who CodeEndavaCanonicalZurich InsuranceNexiTakedaNovettaWayfairPelotonRed HatUniversity College LondonCodethinkAdobeUrsa LabsFanDuelAlphaSenseOxylabs
PonderElementlDAGWorks IncMySQLSwiss ReEricssonBARCGemini DataShopeeRestateLinodeSeznam.czWomen Who CodeEndavaCanonicalZurich InsuranceNexiTakedaNovettaWayfairRed HatUniversity College LondonCodethinkAdobeUrsa LabsFanDuelAlphaSenseOxylabs

Sponsorships 2

EventDatePlaceTier as listedNormalized tier
PyCon US 2023Apr 19–27, 2023Salt Lake City, United StatesAssociate Other
OSA CON 2022Nov 15, 2022—Sponsor Other

Speakers 8

SpeakerEventRoleTalkLinks
Egor TarasenkoPG DATA 2026speakerStreamlining Data Ingestion and Transformation with Trino + dbt—
Egor TarasenkoBudapest Data+AI Forum 2026speakerAI-Powered Airflow Management: From Desktop Assistant to Embedded UI Plugin—
Egor TarasenkoSQLBits 2026speakerUntangling dbt Dependencies with Knowledge Graphs and AI—
Egor TarasenkoSQLBits 2026speakerdbt → Cube.js → Superset: Automating Semantic Layer & BI SyncVideo
Aditya ParameswaranDuckCon #3lightning talkPandas on DuckDB with Ponder—
Doris LeeOSA CON 2022speakerScaling your Pandas Analytics with ModinVideo
Alejandro HerreraBudapest ML Forum 2022speakerEffortlessly scale your pandas workflows with Modin—
Devin PetersohnData Council Austin 2022talkScaling up your pandas workflows with Modin—