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Top Big Data Companies in Poland

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60 companies for Big Data in Poland

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GetInData's Logo

GetInData

Warsaw, Poland

B

51-100 Employees

2014

Key takeaway

GetInData is a Big Data expert, specializing in creating and leading innovative projects for international clients. They focus on designing and implementing cloud-based, data-oriented solutions, and have extensive experience in building production Big Data infrastructure and real-time applications that process large data streams.

Reference

Service

Big Data Experts with a passion for modern technologies - GetInData

We design and build efficient platforms for data collections, processing and visualization. We help you analyze the data and come to the best business decisions. We use modern technologies like: Flink, Kafka, Spark, Druid, Google Cloud, Hadoop

Datumo's Logo

Datumo

Warsaw, Poland

B

11-50 Employees

2017

Key takeaway

Datumo aims to be a leading force in the Big Data and Cloud sector in Poland, emphasizing their expertise in designing tailored Big Data solutions that empower businesses to harness data effectively. With a focus on creating impactful products and services, they assist clients in adapting to market trends through proactive data utilization and specialized consulting.

Reference

Core business

Big data & Cloud | Datumo

We design Big Data platforms. We realise the full potential of data. Data is about people - for people. We can simply say - Datumo is dedicated to helping people understand each other.

REDSEGSOLUTIONS IT's Logo

REDSEGSOLUTIONS IT

Warsaw, Poland

B

1-10 Employees

2013

Key takeaway

The company emphasizes the importance of big data in driving business success across various fields and markets. They offer a range of data analysis services, including consulting and visualization, to help clients effectively interpret and utilize big data for optimal results.

Reference

Service

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DS STREAM's Logo

DS STREAM

Warsaw, Poland

B

51-100 Employees

2017

Key takeaway

The company specializes in Big Data solutions and advanced analytics, offering a team of Data Engineers and Data Scientists who transform data into valuable knowledge. Their services include designing analytical platforms and applying machine learning algorithms to enhance business performance and monetize data.

Reference

Core business

DS Stream - Big Data Solution and Advanced Analytics

We are a dynamic and highly-ambitious startup specializing in Data Engineering and Data Science. From designing analytical platforms to applying cutting-edge machine learning algorithms and performing data quality assurance assignments – our teams of Data Engineers and Scientists deliver innovative ideas to enhance business performance and monetize data.

Alterdata.io's Logo

Alterdata.io

Warsaw, Poland

B

11-50 Employees

2016

Key takeaway

The company emphasizes its expertise in cloud technologies and data solutions, highlighting their ability to enhance data value through scalable and machine learning-enabled systems. They also focus on transforming businesses into data-driven entities, enabling informed decision-making based on actionable insights.

Reference

Core business

Alterdata.io - Your data partner - Alterdata.io

DATA WAREHOUSE MIGRATION TO THE CLOUD Move your data stack to the next level: scalable, ML enabled, ready for new data sources and agile development MACHINE LEARNING: PREDICTIONS Predict LTV, ROAS, ROI and other business KPIs, experiment with A/B testingDATA DRIVEN COMPANY: BUSINESS INTELLIGENCE Let your business teams take actions based on the insights from […]

BitPeak's Logo

BitPeak

Warsaw, Poland

B

51-100 Employees

2018

Key takeaway

BitPeak emphasizes its commitment to delivering real business value through data analysis and processing, empowering organizations to make informed, data-driven decisions. By combining innovative technology with established cloud solutions, BitPeak positions itself as a leader in transforming data into actionable insights.

Reference

Core business

BitPeak

BitPeak - Value from Data

Zentaly's Logo

Zentaly

Wrocław, Poland

B

1-10 Employees

2014

Key takeaway

Zentaly specializes in providing customized Big Data solutions, leveraging over 10 years of experience in backend programming and complex systems. Their expertise includes areas such as distributed applications and real-time systems, making them well-equipped to address diverse Big Data needs for businesses.

Reference

Core business

Zentaly - Customized Big Data solutions for your business

Zentaly is the team of professionals delivering Enterprise solutions for over than 10 years. Core area of expertise is backend programming: SOA, Distributed Applications, Realtime Systems, Complex Event Processing, Map Reduce.

3SOFT S.A.'s Logo

3SOFT S.A.

Katowice, Poland

B

51-100 Employees

2003

Key takeaway

The company, 3Soft S.A., specializes in designing and running advanced IT platforms that facilitate the collection, processing, and analysis of large datasets using Big Data technologies. They focus on extracting business value through advanced analytics powered by Machine Learning and Data Science, emphasizing their commitment to a data-driven approach that aligns with industry megatrends.

Reference

Core business

3Soft S.A.

Wierzymy w biznesowy potencjał danych! Pomagamy przedsiębiorstwom wprowadzać podejście Data-Driven Business.

ALGOMINE's Logo

ALGOMINE

Warsaw, Poland

B

51-100 Employees

2015

Key takeaway

Algomine specializes in monetizing data to create new revenue streams and reduce costs, emphasizing the importance of data-driven decision-making through their AI-driven solutions. Their expertise in digital transformation and cloud data platforms positions them as a key player in unlocking the potential of big data for organizations.

Reference

Service

Algomine

Bontruk's Logo

Bontruk

Warsaw, Poland

B

1-10 Employees

2018

Key takeaway

The company specializes in transforming scientific and technological concepts into business solutions, offering end-to-end models that classify, forecast, and cluster various types of data, including big data. They provide comprehensive data analytics services that enhance business operations through in-depth analysis and the integration of high-quality tools.

Reference

Service

Data Analytics - Data Analytics Services - World-Class Solutions for Your Business

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Products and services for Big Data

A selection of suitable products and services provided by verified companies according to your search.

Product: edbic

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Use cases around Big Data

A selection of suitable use cases for products or services provided by verified companies according to your search.

UseCase: Continuous monitoring

Use case

Continuous monitoring

Manufacturing

The challenge Blickle has always prided itself on the superior quality of its wheels and castors. To further enhance this quality with modern technology, the company decided to migrate its production processes to Industry 4.0 standards. This planned transition should have minimal impact on the three-shift production operation, while maintaining flexibility and openness for future digitalization initiatives. The solution Blickle IT developed a concept to enable a sustainable and gradual transformation. At the heart of the strategy is edbic, which enables condition monitoring. Acting as a central data hub, edbic seamlessly extracts data from the machines, transfers it to the ERP system and provides full production transparency. The result With the implementation of edbic, machine data no longer reaches IT incomplete or delayed. Immediate data analysis enables rapid problem resolution. Automatic punching presses are monitored to determine output results, missing parts, quantities and more. By eliminating most of the Excel lists previously used, edbic has significantly streamlined operations. In polyurethane production, edbic identifies and corrects problems, contributing to Blickle's high quality castors and wheels. In addition, edbic is now being used beyond production, facilitating connections to payment providers in the web shop and establishing a communication link with SAP. Outlook for the future Blickle plans to further refine the system by using machine data comparison for predictive maintenance. In addition, the company is considering implementing the compacer IoT gateway to take communication between machines and the ERP system to a new level of automation.

UseCase:  IoT gateway and Industry 4.0 application

Use case

IoT gateway and Industry 4.0 application

Industry 4.0, Manufacturing

The challenge: BURKHARDT+WEBER is renowned for its expertise in large machining centres. Headquartered in Reutlingen, Germany, the company has a global presence and supplies its products to customers around the world who place a premium on quality. For 130 years, BURKHARDT+WEBER has focused on developing state-of-the-art production solutions for the demanding machining of steel, cast iron and titanium components. The development of these machining centres is the collaborative work of interdisciplinary teams, and all essential components, as well as in-house developments, are manufactured within the company. The compacer IoT solution, built on the edbic platform, is planned for future integration into BURKHARDT+WEBER machining centres. The installation of the compacer IoT gateway enables data collection from the machine's control system. In the long term, BURKHARDT+WEBER machines will offer a wide range of data that can be examined in real time to provide a detailed overview of the machine's condition and efficiency on a dashboard. The solution: An IoT hub will process the collected data, enabling a variety of assessments and ensuring that the operator is kept informed at all times. With machines connected to the compactor solution, condition monitoring is possible, paving the way for the implementation of predictive maintenance. With this approach, BURKHARDT+WEBER enables its customers to successfully implement upcoming digital transformation projects within their production processes.

UseCase: Digital retrofit at a manufacturer

Use case

Digital retrofit at a manufacturer

Electrical installation technology

The challenge: Our customer has an individually analog 30t punching and bending machine in use, which must not be interfered with in the control process. Small hairline cracks in the large drive wheel can lead to a machine failure, resulting in a production stop. Due to the high storage costs, the spare part is not kept in stock. It can take up to three weeks to order and deliver the new part. In order to avoid a machine breakdown, it should be digitally connected to the current production environment and in future the condition of the gearwheel should be analyzed by means of condition monitoring and a breakage better predicted. Our customer's goal was therefore to make the machine IoT-ready with a digital retrofit in order to reduce machine downtimes and increase machine utilization times. The solution: Digital activation of the existing system was unavoidable, which is why sensors were initially installed by the customer to detect the gear breakage. The vBox from Fraunhofer IPT processes the sensor signals and sends the data to the compacer data platform edbic. Among other things, structure-borne noise, vibration, temperature, torque and current are measured. Increased current consumption, which can be a sign of excessive load due to friction and a lack of lubricant, is detected. However, the collected and evaluated data also reveals smaller cracks. The frequency spectrum and other values are recorded, compared and examined for outliers in real time. If an outlier, such as a crack, is detected, an alarm is generated and employees are informed. They can take action if necessary and production downtime can be avoided. Our customer: a German market leader in the field of electrical installation technology and global market leader in SCHUKO® sockets, produces at two locations in Germany and exports to more than 60 countries. In order to further expand its brand leadership and establish innovations in the smart home sector, the company is taking on new digital challenges.

UseCase: Business and IoT integration in Antwerp Euroterminal

Use case

Business and IoT integration in Antwerp Euroterminal

Ports

The challenge: The implementation of a new Terminal Operating System (TOS) offered our customer the unique opportunity to rethink the entire IT landscape. Accelerating the digital transformation and reducing the workload became key target definitions. The aim was to meet the ever-changing internal and customer requirements, while offering high-quality services to end customers. The most important factors were maintaining a high level of customer satisfaction and a clear commitment to maximum security. The existing system landscape had grown with the company and was therefore very heterogeneous and poorly integrated. This had led to high maintenance and administration costs. Integration projects were only implemented when necessary and integration problems were solved by in-house developments. This led to silo thinking and resulted in increasingly fragmented and isolated knowledge. It became clear that networking the respective systems with suitable tools would create immediate added value and greater transparency. In addition to the "classic" challenges of integration projects, our customer emphasized that the topic of IoT integration was very important to them. Particular attention should be paid to finding the right speed and the right tools for the changeover. A software platform that would enable them to connect their B2B partners and their applications electronically and provide a solid basis for the planned IoT integration would therefore be far ahead of all competing offerings. The solution: The customer decided to use the compacer edbic platform as a B2B/IoT gateway. The integration platform acts as a central "data hub" for our customer and the applications of its trading partners. It has since become the core of all operational and logistical flows. edbic was supplemented in a second step by edpem to introduce business process monitoring (BPM). A whole series of integration projects were implemented in a very short space of time. Some of these were "traditional" B2B projects designed to enable the exchange of EDI, XML and proprietary data with the applications of trading partners and third parties by converting and transmitting the data transparently. In addition, a large number of applications were connected via edbic. The system for shift planning and management of terminal workers was linked to the access control system for the port, enabling automated payroll and significantly relieving the HR department of day-to-day tasks. Integration with the customer's ERP environment, on the other hand, partially automated order acceptance, fulfillment and billing. New capabilities were also added, such as the generation of data records for structured test scenarios, automated access control based on shift planning and visitor appointments, and much more. However, the port operator wanted to go one step further and tackle its first IoT project. For the pilot project, sensor data from the terminal's various weighing and measuring systems was published via edbic. A typical use case is measuring the verified gross mass (VGM) to comply with SOLAS requirements. The data obtained is now automatically fed into higher-level systems such as the TOS or stowage planning for loading ships, where it is available for further processing, analysis and visualization. The network of surveillance cameras has been connected to a perimeter security system, which enables the early detection of intruders. The comparison of number recognition events (ANPR) with access control information and TOS transactions makes anomalies visible, improves traffic management and increases security - a key concern in port terminals. All of this is controlled by edbic. This new level of digitalization makes everyday terminal logistics easier and significantly increases the efficiency of the port.

UseCase:  EDI in electronics wholesale

Use case

EDI in electronics wholesale

Wholesale

The challenge: Due to a lack of transparency in communication, there are always gaps in the transfer of know-how between the active shareholders. A standardized communication structure between customers and business partners must therefore be established. Among other things, this should also contain information on delivery information and ensure greater transparency within the business processes. One challenge, for example, was the lack of visibility of goods availability, which needed to be resolved. The solution: In addition to establishing central IT services, the aim was to create a modern communication concept for Europe-wide business processes using EDI so that all shareholders in Europe can access all data in a shared database. compacer was commissioned to develop, set up and operate a fully integrated B2B industry platform for the group of companies. In addition to the EDI component with integrated supplier onboarding portal, this was also to cover the topic of e-invoicing. An e-invoicing platform was to be established that implements e-billing, signed PDF, e-mail distribution and ZUGFeRD in practice. Our customer: is a market community in electrical wholesale and a group of companies that operates internationally in 26 countries. More than 230 independently cooperating electrical wholesalers now belong to the association. Almost every shareholder is an independent family business. The aim is to strengthen the future of wholesalers. That is why the company's focus is also on cooperation with the individual manufacturers. This is also the reason why a central e-commerce platform had to be set up and expanded.

UseCase: Replacement of Legacy Systems

Use case

Replacement of Legacy Systems

Logistics

The challenge: Our customer was in a very difficult situation: the existing data integration software was outdated, extensions from the provider were no longer possible and support for the software had also been discontinued. As a result, they were looking for a successor that would meet the criteria for a modern data and integration platform, e.g. through web services, and enable a high data throughput. The decisive factor for the customer was full integration into the IBM/AS400/DB2/MQ system environment while adhering to the specified budget and schedule and the modernization and development of a data integration platform for EDI services as a group application with separate systems for development and testing. The solution: The decisive arguments for choosing compacer were, on the one hand, the price and also the time savings that compacer had estimated for the migration project with its model-based and automated project approach. Even the customer's internal service provider would not have been able to implement this in this time frame or with the budget that had been included. On the other hand, the customer was also impressed by the diverse possibilities and flexibility of the compacer data and integration platform edbic during an on-site reference appointment. The migration not only involved the automated porting of around 1,500 mappings and the associated EDI message connections, but also 2,400 partner connections, with the premise that this should have no impact on the connected business partners. Result: Thanks to our model-based project method and close-meshed project controlling, we were easily able to keep to the project timeframe and the specified budget in this migration project. This also made it possible for us to provide the customer with flexible support wherever possible, absorb work peaks on the customer side and gradually take on additional tasks for the customer. We saw this as a great vote of confidence. But it was not only the compacer project method and the successful cooperation that had a positive influence on the speed of the project. Thanks to our established, model-based approach and the automation by means of tool-supported porting of message structures and processes, conversion times and manual sources of error were drastically reduced. This has reduced the migration and testing effort by 80% to 90% compared to the usual manual approach. By using the compacer data integration platform edbic, our customer can now set up processes more easily in day-to-day operations, reuse modules and monitor processes and their interaction more effectively. This significantly increases IT efficiency. The system load is currently 2 million data records per working day (8 hours) and a peak load of 1 million/hour, whereby the system is designed for up to 7 million data records per day. The customer was impressed not only by the flexibility and adaptability of the platform, but above all by its speed. The next step is to implement the diverse possibilities of web services with edbic.

UseCase: Demand forecasting

Use case

Demand forecasting

Supply Chain

Demand Forecasting with Thaink²: Predict with Confidence One of the most powerful use cases of Thaink² is demand forecasting, enabling businesses to predict future demand with precision, optimize resources, and reduce inefficiencies. How It Works 🔹 Data Integration – Thaink² automatically centralizes data from multiple sources (ERP, CRM, sales reports, external factors like weather, market trends, etc.). 🔹 AI-Powered Forecasting – Our machine learning models analyze historical data and external influences to generate highly accurate demand predictions. 🔹 Scenario Simulation – Businesses can test different scenarios (e.g., seasonal changes, pricing strategies, supply chain disruptions) to make informed decisions. 🔹 Automated Insights & Alerts – Real-time dashboards highlight trends, anomalies, and actionable insights, ensuring proactive decision-making. Business Impact ✅ Optimized Inventory – Reduce overstock and stockouts, ensuring the right products are available at the right time. ✅ Improved Supply Chain Efficiency – Align procurement, production, and logistics with actual demand forecasts. ✅ Revenue Growth – Increase sales by anticipating customer needs and adjusting strategies proactively. ✅ Cost Reduction – Minimize wastage and unnecessary storage costs by accurately planning stock levels. Whether you’re in retail, manufacturing, or logistics, Thaink²’s demand forecasting capabilities empower businesses to stay ahead of market trends, mitigate risks, and maximize profitability.

UseCase: Continuous monitoring

Use case

Continuous monitoring

Manufacturing

The challenge Blickle has always prided itself on the superior quality of its wheels and castors. To further enhance this quality with modern technology, the company decided to migrate its production processes to Industry 4.0 standards. This planned transition should have minimal impact on the three-shift production operation, while maintaining flexibility and openness for future digitalization initiatives. The solution Blickle IT developed a concept to enable a sustainable and gradual transformation. At the heart of the strategy is edbic, which enables condition monitoring. Acting as a central data hub, edbic seamlessly extracts data from the machines, transfers it to the ERP system and provides full production transparency. The result With the implementation of edbic, machine data no longer reaches IT incomplete or delayed. Immediate data analysis enables rapid problem resolution. Automatic punching presses are monitored to determine output results, missing parts, quantities and more. By eliminating most of the Excel lists previously used, edbic has significantly streamlined operations. In polyurethane production, edbic identifies and corrects problems, contributing to Blickle's high quality castors and wheels. In addition, edbic is now being used beyond production, facilitating connections to payment providers in the web shop and establishing a communication link with SAP. Outlook for the future Blickle plans to further refine the system by using machine data comparison for predictive maintenance. In addition, the company is considering implementing the compacer IoT gateway to take communication between machines and the ERP system to a new level of automation.

Information about Big Data in Poland

In Poland's Big Data industry, several key considerations play a significant role for those researching companies in this field. First, the regulatory landscape is shaped by the General Data Protection Regulation (GDPR), which emphasizes data privacy and security. Understanding compliance with such regulations is crucial for any business. Additionally, the competitive landscape in Poland is evolving, with a mix of established firms and startups leveraging advanced analytics, machine learning, and artificial intelligence technologies. The industry benefits from Poland's strong educational background in STEM fields, providing a skilled workforce adept in data science and analytics. However, challenges such as data quality issues and integration of disparate data sources can impact project success. Opportunities abound, particularly in sectors like finance, healthcare, and manufacturing, where big data applications can drive significant efficiencies and insights. Environmental concerns are gaining traction, as companies increasingly seek sustainable data practices that minimize carbon footprints. Moreover, Poland's position within the European Union enhances its global market relevance, allowing for cross-border collaborations and access to international funding. As businesses increasingly recognize the value of data-driven decision-making, Poland’s Big Data industry is poised for growth, making it an attractive area for investment and innovation.


Insights about the Big Data results above

Some interesting numbers and facts about your company results for Big Data

Country with most fitting companiesPoland
Amount of fitting manufacturers80
Amount of suitable service providers76
Average amount of employees51-100
Oldest suiting company2003
Youngest suiting company2018

Frequently asked questions (FAQ) about Big Data Companies

Some interesting questions that has been asked about the results you have just received for Big Data

Based on our calculations related technologies to Big Data are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

The most represented industries which are working in Big Data are IT, Software and Services, Marketing Services, Other, Research, Business Services

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