Big data hasn’t been a buzzword for a while now. At this point, it’s just part of the infrastructure. Across Europe, companies are wiring their operations around real-time data, predictive models, and systems that scale – not in theory, but in production. Whether it’s high-frequency trades in finance or sensor outputs from factory lines, the shift has already happened: it’s not what if, it’s what’s live.
This list highlights the firms doing that work. Not just offering tools, but helping build pipelines that stay up under pressure. What stands out isn’t just code – it’s the ability to work across teams, across processes, and across messy realities.
1. A-listware
A-listware provides big data analytics services across Europe, supporting clients in finance, healthcare, manufacturing, logistics, and other data-heavy sectors. Our role is to help companies structure, integrate, and make sense of the information flowing through their operations – whether that means cleaning raw data, running forecasts, or building pipelines that hold up under real-world load.
Our teams cover the full lifecycle – from initial data discovery and ETL setup to machine learning, BI reporting, and predictive modeling. We don’t just look at data in isolation. We consider how it connects with process, people, and existing tech. This means digging into actual use cases like patient risk stratification, shift planning, or campaign optimization. We also stay involved after launch, helping with maintenance, updates, and translating analytics into something teams can act on.
Key Highlights:
- Provide big data analytics services for teams across Europe
- Experience with real-world sector use cases – banking, healthcare, logistics
- Handle structured and unstructured data from multiple systems
- Cloud and on-prem setups both supported
Services:
- Data analytics and business intelligence
- Big data processing and architecture setup
- Predictive modeling and machine learning
- Data warehousing and data lake integration
Contact Information:
- Website: a-listware.com
- E-mail: info@a-listware.com
- Facebook: www.facebook.com/alistware
- LinkedIn: www.linkedin.com/company/a-listware
- Address: St. Leonards-On-Sea, TN37 7TA, UK
- Phone: +44 (0)142 439 01 40
2. European Data Analytics
European Data Analytics takes a pretty broad view of analytics – from standard dashboards and KPIs to more technical things like Monte Carlo simulations or SVM-based classification. The team handles both structured and unstructured data and often mixes modeling, visualization, and optimization into the same engagement.
A lot of the work is about helping organizations interpret their data in a way that sticks – not just cleaning it up, but showing what to do with it. Infrastructure isn’t always the main focus, but support is there when needed through remote infrastructure setups and monitoring.
Key Highlights:
- UK-based with active projects across Europe
- Covers standard BI and more advanced modeling
- Supports social, unstructured, and machine-generated data
- Mix of predictive, descriptive, and simulation-based work
Services:
- Business analytics and dashboard reporting
- Predictive modeling and simulation
- Sentiment analysis from social platforms
- Advanced data visualizations
Contact Information:
- Website: europeandataanalytics.co.uk
- E-mail: info@europeandataanalytics.co.uk
- Address: Westpoint, 4 Redheughs Rigg, South Gyle, Edinburgh, EH12 9DQ
- Phone: (+44)7718308098
3. Sigma Software
Sigma Software helps European enterprises pull their data together – especially when things are scattered across legacy systems or poorly wired third-party tools. The team sets up data platforms, handles architecture, and makes sure everything runs under load.
Delivery tends to follow DevOps practices – infrastructure as code, cloud-native design, and constant iteration. Most projects aim for something that’s both scalable and maintainable. When machine learning or AI is used, it’s done with a clear business case in mind – not just because it’s trendy.
Key Highlights:
- Big data consulting and platform setup for European clients
- Cloud-native and hybrid infrastructure expertise
- Focus on long-term maintainability and real-time analytics
- Streamlines or replaces legacy toolchains
Services:
- Big data platform design and architecture
- ETL and infrastructure setup
- Cloud and hybrid system integration
- Machine learning and predictive modeling
Contact Information:
- Website: sigma.software
- E-mail: info@sigma.software
- Facebook: www.facebook.com/SIGMASOFTWAREGROUP
- Twitter: x.com/sigmaswgroup
- LinkedIn: www.linkedin.com/company/sigma-software-group
- Instagram: www.instagram.com/sigma_software
- Address: Design Offices, Atlas, München Atlas, Rosenheimer Str. 143C, 81671 München, Germany
- Phone: +4915236120277
4. Yalantis
Yalantis builds big data systems with real-time in mind – not just speed, but adaptability. Work often starts with data migration or integration, but it rarely stops there. Full-stack builds are common, especially for setups involving stream processing, machine learning, or AI that needs to react as fast as the business moves.
Projects cover healthcare, finance, logistics – anywhere things can change in an instant and decisions can’t wait for batch reports. The job isn’t just about picking the right tech stack. It’s about setting up distributed systems that don’t choke under pressure, prepping teams to take over cleanly, and designing pipelines that turn raw inputs into tools people can actually use.
Key Highlights:
- Big data systems built for sectors like healthcare, finance, and logistics
- Focus on stream processing and distributed architecture
- End-to-end support from tech stack design to deployment
- Experience with AI readiness and compliance-heavy environments
Services:
- Big data consulting and tech stack selection
- Architecture setup for real-time data pipelines
- Stream processing and distributed storage
- Machine learning and NLP integration
- Data warehousing and data lake development
Contact Information:
- Website: yalantis.com
- E-mail: hello@yalantis.com
- LinkedIn: www.linkedin.com/company/yalantis
- Instagram: www.instagram.com/yalantis
- Address: 123 Jerozolimskie avenue, Warszawa, 00-001
- Phone: + 1 213 4019311
5. SoftServe
SoftServe helps companies make the jump from scattered data setups to something more structured – not just technically, but strategically. That means building pipelines that fit the way a business works, integrating analytics into transformation plans, and lining up the platform with long-term goals like reducing operational friction or tightening compliance.
Work spans manufacturing, retail, healthcare, and more. Some projects lean heavily on cloud frameworks. Others revolve around AI forecasts, sensor feeds, or inventory flows. But the core approach stays consistent: engineering that connects directly to the business side, with analytics that aren’t bolted on but built in.
Key Highlights:
- Supports big data analytics across multiple sectors in Europe
- Brings together data engineering and strategy
- Covers forecasting, sensor-driven ops, and inventory workflows
- Familiar with secure, regulated environments
Services:
- Data platform engineering and migration
- BI reporting and dashboard setup
- Data strategy and governance planning
- AI and ML integration for analytics workflows
- Sensor-based and industrial analytics
- Cloud-based data architecture design
Contact Information:
- Website: www.softserveinc.com
- Facebook: www.facebook.com/SoftServeCompany
- Twitter: x.com/SoftServeInc
- LinkedIn: www.linkedin.com/company/softserve
- Instagram: www.instagram.com/softserve_people
- Address: August-Schanz-Straße 28, 60433 Frankfurt am Main, Germany
- Phone: +49-30-300-149-314-0
6. NDZ (Ndimensionz)
NDZ steps in when analytics isn’t just about digging into the past – but spotting what’s coming. Most of the work involves predictive modeling, trend analysis, and real-time alerts. Some of it is about cleaning up the data mess first. Most of it is about turning those insights into tools people can actually use day to day.
Projects often blend infrastructure, analytics, and interface design. Instead of flooding users with tables and raw output, dashboards get the spotlight. Security and stability are priorities too – especially in larger systems where scale creeps in over time. Adjustments are expected. So the foundation gets built to handle that from the start.
Key Highlights:
- Offers real-time analytics and system support across Europe
- Works with structured and unstructured data
- Blends infrastructure with analytics delivery
- Keeps dashboards and usability front and center
Services:
- Data collection and integration from multiple sources
- Advanced analytics and statistical modeling
- Real-time analytics system implementation
- Custom dashboard and visualization setup
- Infrastructure design for scalable data operations
- Security-focused analytics environment design
Contact Information:
- Website: www.ndimensionz.de
- E-mail: sales@ndimensionz.de
- Facebook: www.facebook.com/100093221088531
- LinkedIn: www.linkedin.com/company/ndimensionz-europe
- Instagram: www.instagram.com/ndzeurope
- Address: Ndimensionz Europe AG, Gewerbestrasse 5, 6330 Cham, Switzerland
7. Wipro
Wipro helps teams across Europe rethink how analytics fits into the day-to-day. The focus isn’t just on data systems – it’s about maturity, alignment, and making sure analytics isn’t something bolted on after the fact. Projects often begin with platform modernization but usually end up touching workflows, governance, and long-term habits around data use.
Most of the heavy lifting happens behind the scenes: stitching together infrastructure, building embedded reporting, and making sure platforms don’t just launch – they get used. Change enablement is baked into the delivery process, including team training, rollout support, and iteration loops that actually stick.
Key Highlights:
- Supports big data analytics rollouts across Europe
- Helps tie analytics into core operational workflows
- Experience in transport, retail, and media environments
- Covers full lifecycle from planning to rollout
Services:
- Analytics platform modernization and advisory
- Cloud and hybrid data integration
- Embedded reporting and workflow analytics
- Support for ML, AI, and data monetization strategies
Contact Information:
- Website: www.wipro.com
- E-mail: Info.Austria@Wipro.com
- Facebook: www.facebook.com/WiproLimited
- LinkedIn: www.linkedin.com/company/wipro
- Instagram: www.instagram.com/wiprolimited
- Address: Lassallestr. 7b, 1020 Wien
- Phone: +43 (0) 1 532 78 03-0
8. WNS
WNS takes on big data work that sits right at the intersection of customer insight and operational clarity. The setups usually deal with messy, large-scale data – structured or not – and the goal is to turn it into something usable across departments. That could mean building simulations, cleaning legacy systems, or structuring feedback loops that actually work.
Platforms like Hadoop and MongoDB are part of the stack, but the core value comes from pairing technical builds with advisory input. Local consultants handle the alignment side, while offshore teams handle heavy-lift analytics and modeling. The split works well for clients looking to cover more ground without overspending.
Key Highlights:
- Delivers big data analytics across European markets
- Combines local insight with offshore support
- Covers customer analytics, operations, and data cleanup
- Handles legacy system upgrades and simulation tasks
Services:
- Big data consulting and solution architecture
- Data integration and metadata management
- Indexing and data modeling
- Visualization and virtualization layers
- Data strategy and platform evaluation
Contact Information:
- Website: www.wns.com
- Facebook: www.facebook.com/wnsglobalservices
- Twitter: x.com/wnsholdings
- LinkedIn: www.linkedin.com/company/wns-global-services
- Instagram: www.instagram.com/wnsvibe
- Address: Building, 2nd & 3rd Floor, Preciziei Blvd., no. 24, Sector 6, Bucharest – 062204
- Phone: +40 372 303000
9. T-Systems
T-Systems builds analytics systems that don’t rely on moving tons of data around. Most of the heavy compute happens right at the edge – close to where data’s created – and only the distilled results make it back to central systems. That’s the draw: real-time analysis, without the network bottlenecks.
The setups are common in automotive testing, logistics, and manufacturing – places where time matters. Teams get local control with edge nodes, semantic search, and APIs to trigger queries from anywhere. Infrastructure planning and system security come built-in, since both hardware and software tend to be part of the same job.
Key Highlights:
- Works with edge-first analytics across Europe
- Minimizes data transfer with on-site processing
- Used in testing, logistics, and R&D cycles
- Supports semantic queries and distributed environments
Services:
- Edge data analytics infrastructure setup
- Real-time and parallel query execution
- Semantic metadata enrichment and indexing
- Integration with cloud and on-prem data stores
- Managed services for monitoring and maintenance
Contact Information:
- Website: www.t-systems.com
- E-mail: info.france@t-systems.com
- Twitter: x.com/tsystemsCom
- LinkedIn: www.linkedin.com/company/t-systems
- Address: 1-3 Rue Eugène et Armand Peugeot, Site de l’Amarante, 92500 Rueil-Malmaison. France
- Phone: +33 1 55 94 15 15
10. Addepto
Addepto builds data systems with one clear goal – help teams go from raw input to operational action. Projects often revolve around pipelines, predictions, and dashboards that don’t just show metrics but steer decisions. The work leans more toward hands-on implementation than advisory.
Toolkits include open-source and cloud-native stacks. A lot of what gets built ends up embedded inside existing platforms – not as separate layers, but as part of how things run. Fast rollouts and iterative delivery keep things moving without waiting months between planning and production.
Key Highlights:
- Delivers data systems and modeling across Europe
- Focus on embedded analytics and platform integration
- Uses open-source and cloud-native frameworks
- Strong on quick iteration and delivery speed
Services:
- Big data strategy and consulting
- Data pipeline and warehouse implementation
- ML modeling for churn, forecasts, and recommendation systems
- Embedded dashboard and BI tool integration
Contact Information:
- Website: addepto.com
- E-mail: hi@addepto.com
- Facebook: www.facebook.com/addeptoanalytics
- Twitter: x.com/addepto
- LinkedIn: www.linkedin.com/company/addepto
- Address: Świeradowska 47, 02-662, Warsaw, Poland
11. DevsData
DevsData works at the intersection of analytics, engineering, and infrastructure – not as separate tracks, but as one flow. The team gets involved early, usually when data lakes need building or workflows are starting to hit scale limits. Instead of isolating analytics, it’s wrapped into broader cloud systems and product architecture from the start.
Work covers everything from machine learning advisory to DevOps support, especially in data-heavy setups. Projects tend to stay hands-on and collaborative. Goals get set early, but room’s left to adjust once real-world usage kicks in. The team’s a mix of backend engineers and business-oriented analysts, including people who’ve built systems for hedge funds and global tech companies.
Key Highlights:
- Covers the full data lifecycle – architecture to real-time analytics
- Works with open-source and cloud-native stacks like AWS and GCP
- Focus on integrated delivery with in-house teams
- Technical depth with financial and enterprise context
Services:
- Data lake architecture and maintenance
- Big data engineering and workflow optimization
- Machine learning consulting
- DevOps for data infrastructure
- Business-focused data analytics and reporting
Contact Information:
- Website: devsdata.com
- E-mail: spain@devsdata.com
- Facebook: www.facebook.com/DevsData
- Twitter: x.com/devsdata
- LinkedIn: www.linkedin.com/company/devsdata
- Address: Utopicus, 16 Rda. de Sant Pere, Barcelona 08010, Spain
- Phone: (917) 300-1752
12. qosIT Consulting
QosIT takes a measured, math-heavy approach to analytics – less about generic dashboards, more about performance modeling. Most projects start with operational data streams, then build toward simulations, forecasts, or optimization routines based on how the business actually runs.
Instead of throwing tools at the problem, the work tends to zero in on what’s measurable and repeatable. KPI tracking, digital twins, and custom-built algorithms are common pieces of the stack. Power BI gets used when it fits, but the output usually reflects something much closer to a business process than a reporting layer.
Key Highlights:
- Works out of Seville and New York, with projects across Europe
- Specializes in modeling real-world processes through simulation
- Brings AI and applied mathematics into business performance
- Delivers tools aimed at operational improvement, not just insight
Services:
- Digital twin simulation of business processes
- Performance and KPI management
- Development of process-specific algorithms
- BI dashboards using Microsoft Power BI
Contact Information:
- Website: qosit.eu
- E-mail: info@qosit.eu
- Twitter: x.com/qosITconsulting
- LinkedIn: www.linkedin.com/company/qositconsulting
- Address: Judería 2. Planta 1, Módulo 3A, Parque Empresarial Vega del Rey, 41900, Camas – Sevilla
- Phone: +34.900.848.508
Conclusion
In Europe, big data isn’t about stacking up the latest tools or chasing buzzwords. It’s about turning messy inputs into decisions that hold up – even when stakes are high or systems get stressed. The firms on this list aren’t following the same blueprint. Some go deep into real-time pipelines. Others build simulations or set up edge-first infrastructure. But the goal stays the same: make data usable, not just interesting.
Choosing a partner means asking different questions. Do they know how your data behaves? Can they drop into your stack without derailing the flow? Will the insights still make sense a few months down the line? That’s where the gaps between vendors really show – not in the tech, but in how it’s applied.
