Data Conference Databasea Query.Farm index
Companies

Megagon Labs

Product category (jev): unsure; best guess “Warehouse & lakehouse” at 34% confidence, so it isn't used in filters or charts
Org type (jev): Software vendor 83% confident
Also listed as: Megagon
Conferences sponsored5
Events sponsored27
Speaker slots32 distinct people
Conferences present at6sponsor or speaker
Years active2019–2026

Circuit mix

Where Megagon Labs 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.

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.

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

Where they've grown or pulled back

DownSponsored 2 conferences in 2026, down from 4 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.

Moved up 2

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

Moved down 1

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

Steady 1

Sponsored in most years of its span at the same tier.

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. ByteDance0.85
  2. Baidu0.83
  3. National University of Singapore0.82
  4. Alibaba Cloud0.80
  5. Springer Nature0.79
  6. Tencent0.79
  7. Ant Group0.78
  8. Meituan0.77

2 Cluster: CIDR · ACM SIGMOD/PODS circuit →

Often sponsors alongside

Companies that sponsored the same events, by number of shared events (out of 27 this company sponsored).

CompanyShared eventsShare
Amazon Web Services2489%
Google2489%
Apple2178%
Meta2178%
Alibaba Cloud2074%
Baidu1970%
ByteDance1970%
Microsoft1970%
Oracle1763%
Snowflake1556%
Huawei1452%
Tencent1452%
IBM1348%
Salesforce1244%
SAP1141%

Neighborhood: companies with nearby conference footprints

Megagon Labs (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.

Megagon LabsAlibaba CloudNational University of SingaporeByteDanceTencentHuaweieBayAppleBaiduAnt GroupTsinghua UniversitySpiralOceanBaseDiDiHong Kong University of Science and TechnologyUniversity of Technology SydneyMeituanPurdue UniversityEast China Normal UniversityPeking UniversityHasso Plattner InstituteXiaohongshuTU BerlinEtsyTU DresdenZhejiang UniversityJD.comTel Aviv UniversityUC Santa CruzCriteo
Megagon LabsAlibaba CloudNational University of SingaporeByteDanceTencentHuaweieBayAppleBaiduAnt GroupSpiralOceanBaseDiDiUniversity of Technology SydneyMeituanPurdue UniversityHasso Plattner InstituteXiaohongshuTU BerlinEtsyTU DresdenJD.comTel Aviv UniversityUC Santa CruzCriteo

Sponsorships 27

EventDatePlaceTier as listedNormalized tier
EMNLP 2026Oct 24–29, 2026Budapest, HungaryPlatinum Sponsors Platinum
VLDB 2026 (52nd)Aug 31, 2026 – Sep 4, 2026Boston, United StatesGold Gold
VLDB 2025 (51st)Sep 1–5, 2025London, United KingdomGold Gold
SIGMOD/PODS 2025Jun 22–27, 2025Berlin, GermanySilver Sponsors Silver
EMNLP 2024Nov 12–16, 2024Miami, United StatesPlatinum Platinum
SIGMOD/PODS 2024Jun 9–14, 2024Santiago, ChileSilver Supporters Silver
EMNLP 2023Dec 6–10, 2023Singapore, SingaporePlatinum Platinum
VLDB 2023 (49th)Aug 28, 2023 – Sep 1, 2023Vancouver, CanadaGold Gold
KDD 2023 (29th ACM SIGKDD Conference)Aug 6–10, 2023Long Beach, United StatesPhD Consortium Sponsor Other
SIGMOD/PODS 2023Jun 18–23, 2023Bellevue, United StatesSilver Sponsors Silver
EMNLP 2022Dec 7–11, 2022Abu Dhabi, United Arab EmiratesPlatinum Platinum
VLDB 2022 (48th)Sep 5–9, 2022Sydney, AustraliaGold Gold
KDD 2022 (28th ACM SIGKDD Conference)Aug 14–18, 2022Washington, United StatesAward Sponsor Other
SIGMOD/PODS 2022Jun 12–17, 2022Philadelphia, United StatesGold Sponsors Gold
EMNLP 2021Nov 7–11, 2021Punta Cana, Dominican RepublicPlatinum Platinum
VLDB 2021 (47th)Aug 16–20, 2021Copenhagen, DenmarkPlatinum Platinum
KDD 2021 (virtual, Singapore)Aug 14–18, 2021Singapore, SingaporeSilver Silver
SIGMOD/PODS 2021Jun 20–25, 2021Xi'an, ChinaPlatinum Platinum
EMNLP 2020Nov 16–20, 2020—Platinum Platinum
VLDB 2020 (46th)Aug 31, 2020 – Sep 4, 2020Tokyo, JapanPlatinum Platinum
KDD 2020 (virtual)Aug 23–27, 2020San Diego, United StatesSilver Silver
SIGMOD/PODS 2020Jun 14–19, 2020Portland, United StatesDiamond Sponsors Title
EMNLP-IJCNLP 2019Nov 3–7, 2019Hong Kong, Hong Kong SAR ChinaGold Level Gold
VLDB 2019 (45th)Aug 26–30, 2019Los Angeles, United StatesGold Gold
KDD 2019 (25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining)Aug 4–8, 2019Anchorage, United StatesBronze Bronze
SIGMOD/PODS 2019Jun 30, 2019 – Jul 5, 2019Amsterdam, NetherlandsGold Sponsors Gold
EDBT/ICDT 2019Mar 26–29, 2019Lisbon, PortugalGold Gold

Speakers 3

SpeakerEventRoleTalkLinks
Sajjadur RahmanCIDR 2021paperLeam: An Interactive System for In-situ Visual Text AnalysisVideo · Paper
Wang-Chiew TanKDD 2020 (virtual)ADS invited talkUnleashing the Power of Subjective Data: Managing Experiences as First-Class Citizens—
Wang-Chiew TanEDBT/ICDT 2019keynoteSubjective databases: Enabling Search by ExperienceSlides