Data Conference Databasea Query.Farm index

Similarity matrix

Which conferences draw the same companies, how those crowds shift from year to year, and which are growing. Use it to find conferences like the ones you already sponsor or speak at, and to see where the companies are heading. The many small regional PGDays count as one row, so they don't outweigh single large events.

Conference clusters, year by year

Each cell is a pair of conferences, darker when they share more companies. Similarity is cosine over the companies at each, with companies that appear almost everywhere (AWS, Google, Microsoft) counting less than niche ones, so a shared niche company is a stronger signal. Pick a year to cluster only that year's lists: conferences need at least 5 companies that year, and events that haven't happened yet don't count. Rows are ordered by hierarchical clustering, with the tree on the left and the clusters outlined on the diagonal, each named after its most central conference; the strip at the top is each conference's circuit, and the strip beside the rows is where its events happen. Hover a cell for counts; click to open the conference.

The grid is easier to read on a larger screen; the crowds above work everywhere.

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The growth table and circuit summary below use:
Sponsor companiesSpeaker companies

Which clusters are growing, 2025 → 2026

For each cluster, its conferences that published speaker lists in both years are compared like for like: how many distinct speaker companies they drew in 2026 against 2025. 2026 counts only events held so far. Clusters with fewer than 3 comparable conferences are left out.

  1. Like MLOps World · North America▲ +67%

    566 → 944 speaker companies across 7 conferences compared: AI Engineer 238→556, MCP Dev Summit / AGNTCon + MCPCon 43→260, TMLS 14→12, Ray Summit 23→19…

  2. Like FOSS4G▲ +36%

    209 → 285 speaker companies across 4 conferences compared: FOSS4G 88→145, CNG Forum 54→99, FOSS4G North America 42→49, FOSS4G Europe 57→43

  3. Like Data Saturdays · Europe▲ +19%

    162 → 192 speaker companies across 13 conferences compared: Data Saturdays 23→36, SQL Konferenz 24→34, SQLBits 27→33, Power BI Next Step 8→13…

  4. Like DATACON Seattle · North America▲ +17%

    268 → 314 speaker companies across 4 conferences compared: Microsoft Fabric Community Conference 152→202, DATACON Seattle 21→24, SQLSaturday 92→94, Visual Studio Live! (VSLive!) / Live! 360 37→30

  5. Like Snowflake Summit▲ +16%

    1,459 → 1,697 speaker companies across 8 conferences compared: Gartner Data & Analytics Summit 6→292, Data Decoded 90→160, Data + AI Summit 421→455, Snowflake Summit 362→384…

  6. Like Neudata Data Summits▲ +13%

    227 → 257 speaker companies across 3 conferences compared: Neudata Data Summits 132→183, Alternative Data Conference 37→47, BattleFin Discovery Day 83→61

  7. Like PGConf.dev▲ +4%

    228 → 236 speaker companies across 7 conferences compared: PGDays & regional Postgres events 120→135, PostgreSQL Conference Europe 40→47, PGConf.dev 25→29, PGConf India 20→21…

  8. Like Minds Mastering Machines · Europe▼ −3%

    148 → 143 speaker companies across 3 conferences compared: MLCon 93→98, Minds Mastering Machines 26→26, data2day 35→30

  9. Like MLSys▼ −5%

    162 → 154 speaker companies across 10 conferences compared: IEEE ICDE 29→33, ICML 5→5, AAAI 9→9, ICLR 6→6…

  10. Like DGIQ · North America▼ −6%

    271 → 256 speaker companies across 4 conferences compared: Data Summit 44→55, DGIQ 103→103, Collibra Data Citizens 11→11, MIT CDOIQ Symposium 128→113

  11. Like Data Council▼ −12%

    221 → 194 speaker companies across 4 conferences compared: DuckCon 9→15, Data Outpost 23→26, Data Council 99→84, Coalesce 112→93

  12. Like Iceberg Summit▼ −25%

    341 → 257 speaker companies across 12 conferences compared: Data Streaming Summit 27→33, Data Engineering Open Forum 9→14, OpenXData 25→26, TiDB SCaiLE 18→19…

  13. Like EuroPython▼ −26%

    536 → 394 speaker companies across 3 conferences compared: EuroPython 92→88, PyCon 229→166, PyData 276→181

Not enough comparable conferences: Like TensorFlow World · North America; Like VLDB; Like AI Impact Summit · Europe; Like preFOSDEM MySQL Belgian Days; Like Data Innovation Summit; Like The Dive · North America; Like Apache Arrow Summit · Europe; Like Forward Data Conference · Europe; Like DACH AI, Data Analytics & Insights Summit · Europe.

Circuit by circuit

Share also present
0%8%15%22%30%+

Read across a row: each cell is the share of the row circuit's speaker companies that were also present (as speakers) in the column circuit. The diagonal shows how many speaker companies each circuit has. The matrix is not symmetric: a small circuit can sit mostly inside a big one. The scale tops out at 30%; hover a cell for counts.

Scroll sideways to see the whole matrix.

2,37418%9%6%6%9%28%22%16%13%4%8%6%3%21%2,04912%8%7%7%22%17%19%17%5%9%5%3%26%30%83616%17%8%28%23%26%25%9%16%9%6%31%32%28%48116%8%30%30%30%25%12%23%10%6%16%17%16%8%9045%15%15%17%16%8%12%5%6%21%13%6%4%5%1,07315%10%8%10%2%7%4%2%15%10%5%3%3%4%4,46912%9%10%2%4%4%2%23%15%8%6%6%4%23%2,33416%14%4%8%6%3%14%15%8%5%6%3%15%14%2,73113%4%8%5%2%10%12%7%4%5%4%14%11%11%3,0985%5%4%5%17%21%15%12%14%4%21%16%20%31%51013%8%13%23%23%16%14%13%9%20%23%27%21%8%8047%3%10%8%5%3%3%3%13%10%8%8%3%4%1,4793%5%5%3%2%3%1%7%5%4%11%4%2%3%1,459Vendor flagships & roadshowsVendorVendor flagships & roadshowsVendorModern data stack & practitionerModern data stackModern data stack & practitionerModern data stackOpen-source data infrastructureOpen-source infraOpen-source data infrastructureOpen-source infraStreamingStreamingStreamingStreamingPostgres & open-source databasesPostgres & OSSPostgres & open-source databasesPostgres & OSSMicrosoft data platformMicrosoftMicrosoft data platformMicrosoftEnterprise, analyst & AI exposEnterprise exposEnterprise, analyst & AI exposEnterprise exposCloud providersCloudCloud providersCloudAI engineering & MLOpsAI eng & MLOpsAI engineering & MLOpsAI eng & MLOpsPython & R data sciencePython & RPython & R data sciencePython & RResearchResearchResearchResearchSoftware engineeringSoftware engSoftware engineeringSoftware engAlt data & financial informationAlt data & fin infoAlt data & financial informationAlt data & fin infoGeospatial & mappingGeospatialGeospatial & mappingGeospatial