A four-day technical conference held annually in Vilnius, Lithuania, now in its tenth edition. The event covers big data engineering, streaming architectures, machine learning at scale, and AI systems in production. It combines workshops on 24 November with three days of conference sessions from 25 to 27 November 2026, with an online participation option. Self-reported attendance reaches approximately 700 on-site, according to the organiser.
Big Data Conference Europe is a practitioner-oriented technical conference dedicated to big data engineering, data science, machine learning, and AI. The event is built around talks from engineers, architects, and data practitioners sharing implementation experience, case studies, and technical deep-dives. It explicitly targets developers and IT professionals rather than business executives or corporate buyers. Running since 2017, the 2026 edition marks the conference's tenth year.
The format is structured around six technical tracks and seven included workshops, making it one of the more content-dense practitioner events in the Central-Eastern European data calendar. Sessions are live-streamed and recorded, allowing online participation.
The 2026 edition is the tenth edition of Big Data Conference Europe. The programme spans four days:
The event is held in a self-described cinema-style venue in Vilnius, chosen for seating comfort, screen size, and acoustics. The organiser promotes an early-bird discount available until 11 June 2026 (30% off, according to the website at time of crawl).
Ticket registration is handled via the official site at https://bigdataconference.eu/tickets-payment/. Session scheduling is managed through the Pinetool platform (https://events.pinetool.ai/3669/).
Big Data Conference Europe occupies a distinct position in the late-November data engineering calendar. Its Vilnius location, while geographically peripheral relative to Western European tech hubs, has proven consistent: the conference has run there since its first edition in 2017. The hybrid format extends reach to attendees across Europe and beyond, with past editions recording participants from over 35 countries according to the organiser.
For data engineering practitioners, the event competes with formats such as Data+AI Summit Europe and Kafka Summit, but differs in its single-venue, community-conference character rather than vendor-summit model. The absence of a large exhibition floor and the technical depth of sessions distinguish it from commercially driven enterprise events.
The conference self-describes its audience as developers, IT professionals, and users. Based on the programme structure and session content, the typical attendee profile includes:
According to the organiser, past editions have drawn attendees from over 35 countries. The on-site attendance figure stands at 700+ (self-reported). Online participation extends the total reach further but is not separately quantified in available public sources.
The 2026 programme structure, as described on the official website, includes:
The conference uses a cinema-style seating arrangement, described by the organiser as designed for comfort, sound quality, and visibility of large screens.
The 2026 conference themes, as published on the official website, are organised into six technical tracks:
The conference explicitly positions 2026 as the year of moving from proof-of-concept to production-grade GenAI systems, as stated on the event website.
The event accepts sponsors (a dedicated sponsorship section is listed on the website) but its session selection and speaker programme are community- and practitioner-driven, with a Call for Papers process listed on the site. The format resembles a community conference more than a vendor-led event.
The event is not designed for non-technical business executives seeking AI strategy or governance overviews. It is also not an investor forum or startup showcase. Attendees without a working knowledge of distributed data systems, programming, or ML engineering will find most sessions inaccessible.
The conference streams and records all sessions, making the content accessible online. However, the workshops on 24 November are onsite only. Networking and hands-on workshop participation require physical attendance in Vilnius.
The conference is held in what the organiser describes as a cinema-style venue in Vilnius, offering comfortable seating, large projection screens, and strong acoustics. The specific venue name and address were not published on the website at the time of verification. Vilnius, the capital of Lithuania, is accessible via direct flights from most major European airports. Hotel recommendations and a hotels section are provided on the conference website.
The organiser of Big Data Conference Europe is a Lithuania-based entity that has operated the conference since 2017. The organiser's corporate name and registered details are not disclosed in accessible website content. The event's social presence is active on Twitter/X (@BigDataConfEU) and Facebook (facebook.com/bigdataconf/). Session content from past editions is available on YouTube (playlists from 2017 to 2024 are publicly accessible). The consistency of the event across nine prior editions and the availability of recorded content from each year indicate an established operation.
One of Central-Eastern Europe's most technically substantive data engineering conferences, now in its tenth year, with a consistent practitioner-first programme and a hybrid format that extends geographic reach well beyond Lithuania; the anonymous organiser structure is the main gap in transparency.
Tickets for the 2026 edition are available at https://bigdataconference.eu/tickets-payment/. The organiser announced an early-bird rate with 30% off available until 11 June 2026. Separate ticket categories exist for workshops and conference sessions; online tickets are available in addition to on-site passes. Specific pricing figures were not scraped at time of verification and should be confirmed directly on the ticketing page.
Yes. The conference offers an online ticket option covering the main conference sessions (25–27 November). Workshops on 24 November are onsite only.
Yes. Past editions' recordings are available on the Big Data Conference Europe YouTube channel, organised by year and by top-sessions playlists.
Yes. A CFP section is listed on the conference website at https://bigdataconference.eu/#CFP. Prospective speakers can submit session proposals through this channel.
| Official website | https://bigdataconference.eu |
| Register | https://bigdataconference.eu/tickets-payment/ |
| Programme | https://events.pinetool.ai/3669/#sessions |
| Speakers | https://events.pinetool.ai/3669/#speakers |
| YouTube (past editions) | https://youtube.com/playlist?list=PLqYhGsQ9iSEpb_oyAsg67PhpbrkCC59_g |
| Twitter/X | https://twitter.com/BigDataConfEU |