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Conferences / OSA CON (Open Source Analytics Conference)

OSA CON 2026

Nov 2, 2026 · AWS Builder Loft, San Francisco, CA, United States

Conference
OSA CON (Open Source Analytics Conference) Vendor & industry
Dates
Nov 2, 2026
Venue
AWS Builder Loft
Place
San Francisco, CA, United States
Format
Hybrid
Status
Past
Attendance
200
Recap: '1,370+ registrants', '200+ in-person attendees', 26 speakers, 19 talks across 2 tracks, 9 sponsors.
Website
osacon.io
Recorded
9 sponsors · 28 speaker appearances
Notes
First in-person edition after five years fully virtual; one day at the AWS Builder Loft in San Francisco with a livestream. Free (Luma registration).

Ticket prices

TicketPriceValid untilNotesSource
In-person or livestream$0—Freeosacon.io

Sponsors 9

Title / headline 1

Platinum 2

Media 2

Speakers and talks 28

SpeakerCompanyRoleTalkLinks
Alex MercedDremioSpeakerThe Open Agentic Lakehouse: Building an Open Data and AI EcosystemSlidesVideo
Ashley StirrupGrowthBookPanelistPanel: What Should Be Open in the Age of AI?Video
Brandon WilcoxGamebeastSpeakerGaming Analytics for the Agentic EraSlidesVideo
Chris ParmerPlotlyPanelistPanel: What Should Be Open in the Age of AI?Video
Clay SmithTeroSpeakerThe Biggest Dataset Nobody Modeled: Building an Open Semantic Layer for Telemetry with DuckDB and DataFusion—
David MorrisonApplied Computing Research LabsSpeaker10 Useful Dashboards You Can’t Make with GrafanaSlidesVideo
Gang TaoTimeplusSpeakerClosing the Loop with Open Source: Streaming SQL from Agent Telemetry to Agent ActionSlidesVideo
Heather MeekerChinstrap CommunityPanelistPanel: Whose Code Is It Anyway?Video
Jason SmithGoogleSpeakerServerless Eventing: Simplifying Message DeliverySlidesVideo
Josh LeeAltinitySpeakerObservability is Broken and Open-Source (will be) the SolutionSlides
Jun DingGrafana LabsSpeakerWho Watches the Watcher: Benchmarking AI Agents That Debug Your DashboardsSlidesVideo
Kirti Dewan—ModeratorPanel: What Should Be Open in the Age of AI?Video
Lisa CaoDatabricksSpeakerGetting Your Agents to Write (Good) Pipelines on Apache SparkSlidesVideo
Luke MercadoFoamSpeakerYour Observability Stack Is Messing Up Your Agents—
Mahendra KutareDeeptrailPanelistPanel: What Should Be Open in the Age of AI?Video
Matt SansoneAerospikePanelistPanel: What Should Be Open in the Age of AI?Video
Matthew TopolColumnarSpeakerADBC in Production: From Zero-Copy Promise to Reality—
Max BeaucheminPresetSpeakerFrom Data Modeling to Agent Modeling—
Patrick McFadinMcFadin Data and AI AdvisorySpeakerPaying Rent on Your Own DataSlides
Perla GámezFoamSpeakerYour Observability Stack Is Messing Up Your Agents—
Pranay PrateekSigNozSpeakerYour Next Power User is an AI Agent—
Rafael AvilesObsessionDBSpeakerMeasuring Agents, Not Vibes—
Robert HodgesAltinitySpeakerHow AI Is Changing Database Architecture: It’s Not What You ThinkSlidesVideo
Robert HodgesAltinityPanelistPanel: Whose Code Is It Anyway?Video
Roman ShaposhnikAIFoundry.orgPanelistPanel: Whose Code Is It Anyway?Video
Siddharth ArunSalesforceSpeakerWhat Breaks When Open Source Data Platforms Become Agent Infrastructure?—
Vaibhavi GangwarMaxim AIPanelistPanel: What Should Be Open in the Age of AI?Video
Wei-Chin CallGrafana LabsSpeakerWho Watches the Watcher: Benchmarking AI Agents That Debug Your DashboardsSlidesVideo

Sources