Digital buyer journeys
What digital buyer journeys means for buyers and exhibitors in this sector.
Event overview
Overview
The Big Data Conference Europe 2026 is a premier event focusing on the latest trends and technologies in data science, machine learning, and AI. Scheduled for November 25-27 at Multikino in Vilnius, this conference will bring together over 700 professionals from more than 35 countries.
Attendees can expect insightful talks, hands-on workshops, and ample networking opportunities with industry leaders. Big Data Conference Europe 2026 takes place in Vilnius, Lithuania.
TL;DR
- 1Dates and Venue: Big Data Conference Europe 2026 runs from November 25-27, 2026, at Multikino in Vilnius, Lithuania.
- 2Scale and Focus: The conference will host over 700 attendees and feature 90+ talks across various data and AI topics.
- 3Organiser: The event is organized by DATA MINER, known for its expertise in data conferences.
- 4Buyer Authority: Attendees include data engineers, data scientists, and AI practitioners from around the globe.
- 5Entry: Registration is open now, with various ticket options available including access to co-located AI Summit Europe.
Why visit
Attending the Big Data Conference Europe 2026 provides unparalleled opportunities to learn from top industry experts, network with peers, and gain insights into the latest advancements in data technologies. Participants will have access to a diverse range of sessions covering critical topics in data science and AI.
Why exhibit
Exhibiting at the Big Data Conference Europe 2026 allows companies to showcase their innovations to a targeted audience of data professionals. Gain visibility among key decision-makers and establish valuable connections that can lead to new business opportunities. Meet qualified buyers and partners including Companies offering data analytics solutions., Vendors of machine learning platforms and tools., Providers of cloud computing services.. Position your offer across data.
Attendees, exhibitors & solutions
Who this event is for
Visitor profile
Typical attendee groups you can expect to meet.
Data engineers and platform engineers building batch and streaming pipelines with Apache Spark, Apache Iceberg, ClickHouse and lakehouse architectures.
Data scientists and applied ML engineers working on generative AI, model deployment and MLOps workflows.
Software developers and solution architects responsible for large-scale data processing, cloud data platforms and real-time analytics.
Analytics engineers, data analysts and BI leads selecting tooling for transformation, governance and self-service reporting.
CTOs, heads of data and technology decision makers evaluating platform strategy, data security and ethical AI governance.
DataOps and platform reliability specialists focused on orchestration, observability and cost control across data infrastructure.
Academics and students from Baltic and European data science programmes tracking open-source ecosystem developments.
Exhibitor profile
Main supplier and exhibitor segments present at the show.
Open-source data platform vendors in the Spark, Iceberg, ClickHouse and lakehouse ecosystem presenting reference deployments and performance benchmarks.
Cloud data warehouse, analytics and streaming platform providers.
MLOps, DataOps and workflow orchestration tool vendors.
Data governance, security, privacy and ethical AI compliance solution providers.
Consultancies and system integrators delivering data engineering programmes for Baltic and European enterprises.
Hardware and infrastructure suppliers for high-performance analytics, storage and data centre workloads.
Training providers and open-source foundations supporting data engineering skills development.
Product categories
Key solution areas showcased across the event.
Large-scale data processing engines and query layers (Apache Spark, ClickHouse, Apache Iceberg).
Cloud data warehouse and lakehouse architecture services.
Applied machine learning and generative AI tooling.
DataOps and MLOps pipeline automation platforms.
Data governance, ethical AI and compliance frameworks.
Quantum computing research and emerging computational paradigms.
Location & Facilities
Venue
Multikino
Vilnius, Lithuania
Facilities
Parking
Multikino in Vilnius typically provides on-site or adjacent visitor parking during major trade fairs; confirm daily rates, payment methods and hall access on the organiser or venue website before travel.
Food options
On-site catering
On-site diningParking: Multikino in Vilnius typically provides on-site or adjacent visitor parking during major trade fairs; confirm daily rates, payment methods and hall access on the organiser or venue website before travel.
Gate: Follow organiser signage to the main visitor entrance at Multikino for badge collection; allow extra time for security screening during peak morning arrival.
Attend
Entry & tickets
Intelligence
Market context
Key market insights, trends, news and related events to help you understand the bigger picture.
Vilnius, Lithuania
Why it matters
Attending the Big Data Conference Europe 2026 provides unparalleled opportunities to learn from top industry experts, network with peers, and gain insights into the latest advancements in data technologies. Participants will have access to a diverse range of sessions covering critical topics in data science and AI.
Industry trends
Key trends shaping this market and its wider industry.
Sustainability in procurement
What sustainability in procurement means for buyers and exhibitors in this sector.
Automation and labour efficiency
What automation and labour efficiency means for buyers and exhibitors in this sector.
Regional supply-chain resilience
What regional supply-chain resilience means for buyers and exhibitors in this sector.
Hybrid engagement models
What hybrid engagement models means for buyers and exhibitors in this sector.
Plan your trip
Travel & logistics
Local currency · USD
Arrival airports
Choose from the following airports, with convenient access to the event and venue.
Vilnius Airport
Primary gateway for the conference. Direct Lufthansa from Frankfurt and one-stop connections via Warsaw, Vienna and Istanbul appear in the flight captures
TBA
to venue
15-25 min by taxi or car
by car
Kaunas Airport
Secondary Lithuanian airport; use only if VNO routings are unavailable, and confirm onward bus or car transfer
TBA
to venue
1 hr 15 min - 1 hr 30 min by car
by car
Riga Airport
Alternative Baltic gateway; allow a half-day transfer and confirm bus schedules before booking
TBA
to venue
About 4 hr by car or intercity bus
by car
Hotel tiers
A range of accommodation options near the venue and across key areas.
Radisson Blu Hotel Lietuva, Vilnius
upscale
Vilnius city centre (near Multikino)4.6
Upscale riverside property in the central hotel cluster; approximate late-November 2026 rate for the conference window.
Hilton Garden Inn Vilnius City Centre
upscale
Vilnius city centre4.7
Highest guest rating among the captured near-venue properties; approximate conference-window range.
Holiday Inn Vilnius Center by IHG
midscale
Vilnius city centre4.6
Midscale central property captured in the near-venue hotel list; confirm current rates and cancellation terms.
Comfort Hotel LT - Rock 'n' Roll Vilnius
economy
Vilnius city centre4.6
Three-star, free-cancellation property listed among near-venue stays; approximate late-November 2026 range.
Local transport
Get around the city with these convenient transport options.
Walk
Estimated costApprox. EUR 0
Best forCity-centre hotels to Old Town restaurants and meeting venues
Central Vilnius is compact for evening walks, but Multikino is in the Ozas complex and needs a short ride from most central hotels. Confirm exact routes on arrival.
Public bus or trolleybus
Estimated costApprox. EUR 1.00 single ticket
Best forVilnius city centre to Multikino/Ozas
Buy and validate a single ticket in the mobile app or at a kiosk; journey time is typically 20-30 min depending on the stop. Confirm live fares.
Airport train
Estimated costApprox. EUR 0.70-1.00 single
Best forVilnius Airport (VNO) to Vilnius railway station
Fastest low-cost link from VNO to the main railway station, then continue by trolleybus, bus or taxi toward Ozas. Confirm live fares.
Airport bus
Estimated costApprox. EUR 1.00 single
Best forVilnius Airport (VNO) to city centre
City buses connect the airport with central stops; allow 15-25 min plus walking time to your hotel. Confirm live fares.
Taxi
Estimated costApprox. EUR 6-12 one way
Best forCity-centre hotel to Multikino/Ozas
Short inner-city hop; use a metered taxi or pre-booked transfer and confirm the fare estimate in the app before departure.
Ride-hailing (Bolt)
Estimated costApprox. EUR 5-9 one way
Best forCity-centre hotel to Multikino/Ozas
Bolt is widely used in Vilnius; check app availability and pickup points at your hotel. Confirm live fares.
Taxi
Estimated costApprox. EUR 12-20 one way
Best forVilnius Airport (VNO) to Multikino
15-25 min by taxi or car; Primary gateway for the conference. Direct Lufthansa from Frankfurt and one-stop connections via Warsaw, Vienna and Istanbul appear in the flight captures.
Parking
Estimated costApprox. EUR 1-3 per hour; validation may apply
Best forOzas shopping centre / Multikino car park
Multikino sits in the Ozas complex with a multi-storey car park. Check current hourly rates and whether conference visitors can validate parking.
Weather
November 2026 in Vilnius is late autumn moving into winter: expect daytime highs near 4°C and night lows near -1°C, frequent overcast skies, rain or wet snow, and daylight ending by late afternoon. Pack layers and waterproof shoes.
Plan for the climate
Check temperatures and pack accordingly
Venue connectivity
Lithuania is in the EU roaming zone, so EU/EEA SIMs roam at domestic rates. Local prepaid SIMs from Telia, Tele2 and Bite are sold at Vilnius Airport and city shops. Multikino/Ozas is a modern cinema and retail complex; confirm venue Wi-Fi and power access (230V, type C/F plugs) on arrival.
Ride-hailing
Taxis
Public transit
Car rentals
Cultural notes
Useful information to help you have a smooth and respectful visit.
Language
Lithuanian is the official language; English is widely spoken in Vilnius tech and hospitality settings, especially among conference attendees.
Currency and payments
Lithuania uses the euro. Cards are widely accepted in hotels, restaurants and taxis; keep a little cash for small kiosks.
Tipping
A 5-10% tip is common in restaurants when service is not already included; round up in taxis.
Daylight
Late November days are short, with sunrise around 8am and sunset before 4:30pm; plan outdoor walks for midday.
Business etiquette
Punctuality matters and meetings tend to start on time. Lithuanians are often direct in discussion; small talk warms up over coffee.
Practical guides
Visitor & Exhibitor Essentials
Everything needed to arrive prepared, navigate the event, and make the visit productive.
Flights
Destination: VNO
Book into Vilnius Airport (VNO), the closest gateway to Multikino. Captured routings include direct Lufthansa from Frankfurt in about 2 hr 5 min, Austrian via Vienna from London, and LOT via Warsaw from New York and Chicago. Late November is low-season for Baltic leisure travel but conference demand can tighten city hotels; book flights and rooms together and check return options for 29 November 2026. Fares were not captured as fixed prices, so compare live options.
Transport
Get to the venue and around the city with these options.
Airport → venue: Primary gateways: Vilnius Airport (VNO): 15-25 min by taxi or car; Kaunas Airport (KUN): 1 hr 15 min - 1 hr 30 min by car; Riga Airport (RIX): About 4 hr by car or intercity bus. Allow road or rail time to Multikino; on-site parking is usually available at major exhibition venues.
Hotel → venue: Precinct hotels near Multikino: Vilnius city centre (near Multikino): Radisson Blu Hotel Lietuva, Vilnius; Vilnius city centre: Hilton Garden Inn Vilnius City Centre; Vilnius city centre: Holiday Inn Vilnius Center by IHG.
Ride-hail: Bolt is widely used in Vilnius; check whether Uber or other apps are active when you arrive. Download the app before travel, set pickup at your hotel entrance or the VNO arrivals curb, and expect approx. EUR 5-9 from the city centre to Multikino and EUR 12-20 from the airport. Confirm the car and plate in the app.
Public transit: Vilnius has an extensive bus and trolleybus network but no metro. Single tickets cost approx. EUR 1.00 and can be bought in the mobile ticketing app or at kiosks; validate on board. Routes from the city centre to Ozas/Multikino take about 20-30 min. The airport train to the main railway station is a fast link for arriving delegates.
Parking: Multikino sits in the Ozas shopping centre, which has a multi-storey car park. Parking is usually paid by the hour, with possible validation for cinema or venue customers; confirm current rates and conference validation at the venue. Do not assume free event parking.
Weather
Plan and pack for the event climate.
Month: November 2026
Temperature: Approx. -1°C to 4°C daytime (30-39°F), colder at night; frost is possible.
Seasonality: Frequent overcast days with rain or wet snow, around 10-12 precipitation days in a typical November; daylight is short, with sunset before 4:30pm.
Packing: Pack a warm insulated coat, layers, gloves, a hat and waterproof shoes for walking between hotels and Multikino. Bring a laptop and charger for workshop days, and an indoor-friendly bag for the cinema-conference setting. A compact umbrella is useful for wet snow and rain.
Plan your trip
Planning
Best day to visit: Day 2 (mid-show)
Mid-show days at Big Data Conference Europe 2026 usually combine full exhibitor attendance with scheduled B2B meetings, before early pack-down on the final day.
T-1
Confirm registration and any paid workshop seat for 24 November 2026; workshop capacity is usually limited.
T-2
Book flights into Vilnius Airport (VNO); direct Lufthansa from Frankfurt is about 2 hr 5 min, most other European and US origins connect via Warsaw, Vienna or Istanbul.
T-3
Reserve a city-centre hotel for 24-27 November 2026 and check cancellation terms before late-November rates firm up.
T-4
Check Schengen entry rules for your passport and request an invitation letter from the organiser if your visa application needs one.
T-5
Review the schedule at bigdataconference.eu/schedule and shortlist talks on Spark, Iceberg, ClickHouse, generative AI, DataOps and governance.
T-6
Download the venue map for Multikino in the Ozas complex and plan your route from the hotel.
T-7
Pack warm layers, waterproof shoes and a laptop for workshop days; Vilnius daylight fades by late afternoon in November.
T-8
Save copies of your registration, hotel booking and travel insurance offline in case of patchy mobile data.
Sample visitor itinerary
Route-optimised day
Day 1 · morning
Registration and hall orientation at Multikino
Day 2 · core sessions
Supplier meetings and product demos
Day 3 · wrap-up
Final negotiations and follow-up
Networking spots
2Big Data Conference Europe 2026 registration concourse
Multikino
Central meeting point before and between hall appointments during show days.
Organiser B2B lounge (if offered)
Multikino
Hosted matchmaking and buyer programmes when published by the organiser.
Budget
Costs & budget
Build your working budget
Adjust the inputs below to create a directional event budget.
Estimated budget
Live estimate
- Hotel × 2 nights$190.00
- Per diem × 2$150.00
Estimated total$340.00
This is a directional estimate. Please verify live rates before booking.
Decision
Visit, exhibit, or skip?
Should you go?
Use this quick check to decide whether Big Data Conference Europe 2026 fits your visit, exhibit or skip plan.
QUESTION 1 OF 6
For Big Data Conference Europe 2026, what is your primary role on the show floor?
Decision matrix
Compare participation options side by side to choose the best fit for your objectives.
visit
You work hands-on with Spark, Iceberg, ClickHouse, ML or DataOps and want the 60+ reported talks plus workshops.
Best for
Data engineers, data scientists and architects evaluating open-source data stacks, generative AI tooling and DataOps practices.
Min. budget
$400.00
Timeline
4-8 weeks before 24 November 2026 for registration, flights into VNO and a city-centre hotel.
Risks
Detailed session timetable was not captured - confirm the agenda and workshop capacity before booking.
exhibit
Your product solves a concrete data engineering or AI workflow problem for European practitioners.
Best for
Data platform, cloud, MLOps and governance vendors targeting data team leads and architects from 35+ countries.
Min. budget
$2,500.00
Timeline
3-6 months for sponsor package booking, freight to Multikino and pre-event marketing.
Risks
Sponsor and exhibitor pricing was not visible in captures - request the prospectus from the organiser.
skip
Your offer does not map to the technical practitioner audience this Vilnius conference serves.
Best for
Teams outside the data engineering, analytics and AI tooling space, or those needing mass consumer footfall.
Timeline
N/A
Risks
No major risks listed.
FAQs & glossary
Answers
Frequently asked
Glossary
- Apache Spark
- Distributed processing engine for batch and streaming data. At Big Data Conference Vilnius it is a core reference point for pipeline architecture, tuning and lakehouse integration.
- Apache Iceberg
- Open table format for very large analytic datasets. It adds ACID transactions, schema evolution and time travel to data lake storage.
- ClickHouse
- Column-oriented OLAP database built for real-time analytics and high-throughput event or log analysis.
- Lakehouse
- Architecture that combines data lake storage with warehouse-style management and ACID tables, typically built on Iceberg, Delta Lake or Hudi.
- DataOps
- Practices and tooling that automate data pipeline delivery, testing, observability and quality control.
- MLOps
- Operational discipline for deploying, monitoring and governing machine learning models in production.
- Generative AI
- Models that create text, code, images or other content. Conference discussions focus on applied use cases, evaluation and responsible deployment.
- Data governance
- Policies, catalogues and access controls that make data discoverable, secure and compliant with regulation.
- Streaming data
- Continuous event processing using tools such as Kafka, Flink and Spark Structured Streaming.
- Vector database
- Storage and search system for embeddings used in retrieval-augmented generation and semantic search.
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Also known as
Alternate names and search phrases for this event.
- Big Data Vilnius 2026
- AI Conference Lithuania 2026
- Data Science Conference Europe 2026
- Big Data Conference Europe 2026 Vilnius
- Big Data Conference Europe Vilnius 2026
- Vilnius Lithuania
- Conference Vilnius 2026
- Machine Learning
- Artificial Intelligence
- Conference Onsite & Online Vilnius
3 more alternate names hidden
Digital business cards for the show floor
Display a free company card at your booth, or share your professional card on the show floor.