Data Conference Databasea Query.Farm index
Companies

Chalk

Product category: unsure; best guess “Other software” at 21% confidence, so it isn't used in filters or charts
Org type: Software vendor 61% confident
Conferences sponsored2
Events sponsored2
Speaker slots54 distinct people
Conferences present at5sponsor or speaker
Years active2025–2026
Talks, past 12 months2#1069 on the communication index · many voices

Circuit mix

Where Chalk 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 Chalk 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.

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

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.

  • Gold
  • Bronze

Where they've grown or pulled back

Sponsored 2 conferences in 2026, the first year on record.

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 2

First sponsored in 2025 or later.

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. Estuary0.82
  2. Heap0.76
  3. Artie0.75
  4. Census0.74
  5. Bodo.ai0.72
  6. Keebo0.70
  7. University of Florida0.69
  8. Cube0.69

5 Cluster: Coalesce · Modern Data Stack Conference circuit →

Often sponsors alongside

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

CompanyShared eventsShare
Airbyte2100%
Datadog2100%
Dremio2100%
Hex2100%
Skyflow2100%
TextQL2100%
7Rivers, Inc.150%
Acceldata150%
Accenture150%
Acxiom150%
Alation150%
Alteryx150%
Altimate AI150%
Amazon Web Services150%
Amperity150%

Neighborhood: companies with nearby conference footprints

Chalk (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.

ChalkEstuaryHeapMerkleEppoEtleapLandingAIUniversity of FloridaExxonMobilphDataFoundationalMontreal AnalyticsRelationalAIDAS42Seemore DataAnalytics8NetlifyLiveRampnibFanaticsCarGurusBrooklyn Data CoWHOOPHubSpotKeeboWhatnotUnstructuredZendeskIppon TechnologiesCensus
ChalkEstuaryHeapMerkleEppoEtleapLandingAIUniversity of FloridaExxonMobilphDataFoundationalRelationalAIDAS42Seemore DataAnalytics8NetlifyLiveRampnibFanaticsCarGurusBrooklyn Data CoWHOOPHubSpotKeeboWhatnotUnstructuredZendeskIppon TechnologiesCensus

Sponsorships 2

EventDatePlaceTier as listedNormalized tier
Snowflake Summit 26 (sponsor list may be stale)Jun 1–4, 2026San Francisco, United StatesBlue Square Gold
AI Council 2026May 12–14, 2026San Francisco, United StatesBronze Bronze

Speakers 5

SpeakerEventRoleTalkLinks
Elliot MarxSnowflake Summit 26speakerA Computation-First Architecture for Real-Time ML Feature Stores—
Marc Freed-FinneganSnowflake Summit 26speakerThe Infrastructure Behind Grindr’s AI Transformation—
Elvis KahoroSmall Data SF 2025speaker——
Elliot MarxSciPy 2025speakerReal-time ML: Accelerating Python for inference (< 10ms) at scale—
Nathan FennerVeloxCon 2025speakerReal time ML: Accelerating Velox & Python for inference 10ms at scaleVideo