If you're trying to figure out which remaining data conferences in 2026 are worth your time and travel budget, this is the list. We've covered the biggest events on the calendar, from global platform summits drawing 20,000+ attendees to practitioner-focused gatherings where the real technical conversations happen.
Listed in chronological order.
March 9-11 | Gaylord Palms, Orlando, FL | ~5,000 attendees
If your job involves data strategy, AI governance, or making the case to leadership for data investments, this one belongs near the top of your list. The summit runs on research from Gartner analysts: over 60 experts delivering 137 sessions across five main tracks and three spotlight tracks. This year's focus was squarely on moving past AI pilots and into production-grade AI that actually delivers ROI.
The crowd skews toward senior roles: CDAOs, heads of AI, data architecture leads, data management executives. The format matches that audience: keynotes and roundtables built for strategic conversation, not product demos. There are 130+ vendors in the Exhibit Showcase if that's useful, but the sessions are where the value is. Gartner also runs this summit in London and Sydney for teams outside North America.
May 5-7 | San Diego Convention Center, San Diego, CA | ~8,000 attendees
TC26 is three days of 300+ expert-led sessions, 150+ hands-on trainings, and the kind of community programming that makes this feel less like a tech conference and more like a reunion. Tableau's community calls itself the DataFam for a reason. The culture is genuinely welcoming in a way that most data conferences aren't.
Content this year centers on agentic analytics, interoperability, and new product integrations. If your team uses Tableau day-to-day, the skill-building alone makes this worth attending. Sessions run from beginner dashboard design to advanced AI integration. There's also Iron Viz (a live data viz competition), Tableau Doctor for 1:1 expert help, and Salesforce+ livestreams for anyone who can't make it in person.
June 1-4 | Moscone Center, San Francisco, CA | ~20,000 attendees
Snowflake Summit 2026 has 500+ sessions, hands-on labs, training and certification, and an expo floor with 190+ partner booths. The Builders Hub is specifically for developers: bootcamp sessions and live demos. The Industry Zone covers vertical-specific content for finance, healthcare, retail, and more.
The theme this year is agentic intelligence: how to move from isolated data strategies to connected, AI-powered enterprise experiences. If your team runs on Snowflake, this is where you get ahead on what's coming from the platform and hear real implementation stories from companies that have already shipped it. Main keynotes are livestreamed free for non-registrants.
Catch the Altimate AI team at booth 1311
June 15-18 | Moscone Center, San Francisco, CA | ~22,000 attendees
Data + AI Summit brings together data engineers, scientists, architects, ML engineers, and executives from over 160 countries across 800+ sessions covering data engineering, warehousing, governance, analytics, agentic AI, and AI/BI.
If you're working with Apache Spark, Delta Lake, Apache Iceberg, MLflow, or dbt alongside Databricks, this is where roadmaps get announced and where you'll find the most advanced technical content on those tools. The conference also offers new certification courses on-site. One caveat: it's a big event. Plan your session schedule before you arrive or you'll spend the week just trying to navigate the venue.
Catch the Altimate AI team at booth 577
August 4-6 | Las Vegas, NV | ~12,000 attendees
America's largest independent AI conference, drawing 12,000+ executives and decision-makers from 90+ countries. Ai4 is enterprise-focused. The emphasis is on real-world AI implementation and measurable business outcomes, not research. Tracks are organized by industry (finance, healthcare, retail, manufacturing) and by function (AI strategy, generative AI, AI agents, automation).
The audience skews toward business and technical leadership. If you're evaluating AI strategy or want to see how peers in adjacent industries are actually deploying AI in production, this is a useful venue. For teams wondering whether their AI initiatives are in line with what the broader market is doing, the comparison is genuinely worth making.
September 15-18 | The Cosmopolitan, Las Vegas, NV | ~3,000 attendees
Coalesce has a new name. dbt Summit 2026 is the world's largest gathering of dbt users: analytics engineers, data engineers, data architects, and the data leaders working alongside them. The rebrand reflects how the event has grown from a community conference into a full industry summit, spanning four days with 100+ sessions across keynotes, breakout tracks, and hands-on labs.
The conversations here are practitioner-driven. You won't find a lot of polished vendor pitches. You'll find engineers being honest about what's working and what isn't. Key themes include dbt Mesh, data contracts, AI-ready data architectures, incremental models, and how analytics engineering intersects with ML workflows. For data teams building on dbt, this is the one worth planning around.
Catch the Altimate AI team on the Expo floor
September 23-24 | Olympia London, London, England | Free to attend
The UK's largest data, analytics, and AI event and the most important data conference on the European calendar. Big Data LDN brings together engineers, architects, data leaders, and practitioners for two days of 400+ seminars across 15 free-to-attend conference theatres. Speakers come from Google, AWS, TikTok, Spotify, Snowflake, Databricks, and a wide range of startups.
Free registration, 130+ exhibitors ranging from major platform vendors to early-stage companies, and sessions covering AI governance, data engineering, and data products. In 2026, a co-located event called Data Driven LDN runs on September 22nd, focused specifically on AI agents, AI governance, and data products for senior practitioners who want deeper dives.
Catch the Altimate AI team on the Expo floor
How to Pick the Right Data Conference in 2026
Nobody can do all of these, so a few filters are worth applying. If your team runs on Snowflake, Snowflake Summit is the obvious call. The same logic applies for dbt and dbt Summit. Platform-specific conferences tend to have the highest signal-to-noise for teams already using those tools. Data leaders and strategists get the most out of Gartner and Ai4. Practitioners and engineers tend to get more hands-on value from dbt Summit and the Databricks summit. Tableau Conference is its own category: best for teams where Tableau is the primary visualization layer. European teams should have Big Data LDN near the top of the list. It's free, comprehensive, and the audience quality is high.
Pick the ones where your stack, your role, and your team's current problems overlap with the program. That overlap is usually obvious once you look.
