A four-day technical conference held annually in Vilnius, Lithuania, gathering practitioners across machine learning, data engineering, and DevOps from across Europe, combining breakout content sessions with structured networking for a practitioner-level international audience.
Big Data Conference Europe is an annual four-day technical conference held in Vilnius, Lithuania, focused on machine learning, data engineering, and MLOps. It targets developers, data engineers, and DevOps professionals and draws an international practitioner audience. The 2026 edition is the tenth instalment of the event.
The tenth edition of Big Data Conference Europe takes place from 24 to 27 November 2026 at Multikino in Vilnius. With 2,000 delegates expected, according to the aggregator 10times.com, the event is the largest instalment in the conference's history by that measure. No edition theme has been announced as of verification. The speakers programme page on the official website notes that an outstanding lineup is in preparation, but no confirmed speaker list had been published as of May 2026, approximately six months before the event opens. The aggregator 10times.com estimates around 48 speakers.
The late-November slot places Big Data Conference Europe at the tail end of the European tech and data conference season. By the time Vilnius hosts the event, most major autumn gatherings in Western European capitals have closed. This timing gives the conference a degree of isolation in the calendar: practitioners who have attended events earlier in the cycle can use Vilnius as a final technical reset before the year-end. Lithuania itself has consolidated a position as a growing node on the Central and Eastern European tech circuit, and the November date aligns with that positioning.
No exhibition floor, stand count, stage count, special formats beyond those listed, or session-level programme detail are documented as of verification. The organiser has not published the full agenda for the 2026 edition.
Networking with an international audience is listed as a distinct format component alongside breakout content. No pre-scheduled B2B matchmaking system, dedicated meeting platform, or official networking application is documented for the event. The four-day duration provides extended informal contact time across sessions, breaks, and the intervals between tracks. Practitioners from across Europe attending a practitioner-level event of this length typically generate peer interaction organically across the programme, though no structured meeting infrastructure has been confirmed publicly.
No session titles, stage names, or confirmed speaker contributions have been published as of May 2026. The full programme schedule is not yet available.
The event is built for practitioners: people who write code, design systems, or operate infrastructure in data and AI environments. Developers, data engineers, MLOps specialists, and DevOps professionals engaging with data tooling at a hands-on level are the stated target audience. The content tracks are described as technical and practitioner-level, meaning the value proposition is in the sessions and peer exchange rather than in executive keynotes or business strategy discussions.
Several profiles are likely to find the event a poor fit. Business analysts, product managers, or executives seeking strategic or commercial perspectives on AI rather than technical depth will find the content calibrated below or away from their needs. Vendors and solution providers looking for a large exhibition floor or a structured sales pipeline will find no documented exhibition component. Investors, analysts, or market intelligence professionals attending to track deal flow or company trajectories will encounter a practitioner audience with limited commercial intent. Professionals based outside Europe with no existing connection to the Central and Eastern European tech scene may find the geographic clustering and Vilnius location less convenient than conferences anchored in Western European hubs. Finally, professionals seeking a confirmed, published agenda before committing to travel will find that the programme is not publicly available at the point of early-bird registration, which may complicate internal approval processes.
The event covers the AI and data sector as a technical domain rather than targeting a specific vertical industry. The practitioner audience spans companies across sectors that operate data-intensive or ML-driven systems. No sector restrictions or vertical focus have been documented.
The 2026 edition expects 2,000 delegates, according to the aggregator 10times.com. This places it in the mid-to-large tier of specialist technical conferences in Europe. No verified figures from previous editions are available for trend comparison.
Multikino in Vilnius is a cinema complex that has been repurposed for conference use. Cinema venues of this type offer a high seat count per auditorium, strong AV infrastructure already embedded, and tiered seating that suits large-format technical presentations. The Multikino venue in Vilnius is located within the city's commercial and leisure district. Capacity figures for the specific configuration used by Big Data Conference Europe are not disclosed. The venue's cinema-hall layout lends itself to the multi-track breakout format documented for the event.
The organiser of Big Data Conference Europe is identified as a commercial publisher based in Lithuania. No company name, founding year, portfolio of events, or city of registration has been disclosed publicly as of verification. The official website is bigdataconference.eu. The event has reached its tenth edition, which indicates sustained operation over at least a decade, but no further organisational detail is publicly available.
Big Data Conference Europe occupies a distinct niche in the European technical calendar: a practitioner-first, multi-day event in Vilnius that draws international data and ML engineers away from the Western European conference circuit and into a Central European setting, with content depth as the primary draw and no documented exhibition or deal-flow infrastructure to dilute that focus.
Registration is handled directly through the official website at bigdataconference.eu. The event operates an open access model with no documented invitation or qualification requirement. Ticket pricing for the 2026 edition is structured across early-bird and standard tiers. A Blind Bird early-bird four-day full ticket is priced at 900 EUR (representing a 50% discount on the standard rate), valid until 5 March 2026. The standard four-day full ticket is priced at 1,730 EUR. A three-day onsite and online ticket is available at 1,350 EUR (standard) or 700 EUR under the Blind Bird discount. Sponsor and exhibitor pricing is not publicly disclosed.
No. The event operates an open access model. Tickets are available for purchase directly through the official website without a prior invitation or qualification process.
Yes. The Blind Bird discount reduces the four-day full ticket from 1,730 EUR to 900 EUR, a saving of 830 EUR. The Blind Bird rate was valid until 5 March 2026. Purchasing after that deadline reverts to the standard rate. For teams sending multiple attendees, the early commitment produces a significant cost difference.
A three-day onsite and online ticket is listed in the pricing structure, which indicates that some form of online access is available as part of that ticket tier. The scope, format, and content included in the online component are not described publicly as of verification.
Vilnius is the capital of Lithuania, located in the northeastern corner of the European Union. The city is served by Vilnius Airport with direct connections to major Western European hubs including Amsterdam, Frankfurt, London, and Warsaw. For attendees from Western Europe, the journey typically involves a direct flight of one to three hours. Specific visa, accommodation, or travel logistics are not part of the conference documentation.
| Official website | https://bigdataconference.eu |
| Register | https://bigdataconference.eu |
| Programme | not disclosed |
| Speakers | https://bigdataconference.eu/speakers/ |