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BigBI
Tel-Aviv, Israel
B
1-10 Employees
2019
Key takeaway
BigBI is empowering BI analysts and data scientists by providing direct access to the modern Apache Spark platform, making big data processing more accessible and efficient. Their interactive Spark-grade data processing solution is designed to help data professionals achieve business goals effectively.
Reference
Product
Solutions - BigBI
BigBI is democratizing big data access and processing, all data professionals. Reach your business goals more efficiently & effectively with our interactive Spark-grade data processing solution:
informa-tix.com
Israel
B
1-10 Employees
2011
Key takeaway
The company specializes in providing innovative solutions for handling big data, including real-time mining, streaming, and analysis. Their expertise in IoT, machine learning, and satellite image analysis further enhances their capability to deliver smart business intelligence solutions tailored to various scales and needs.
Reference
Core business
informa-tix.com – Collect and Analyze bigData
Jutomate
Nes Ziona, Israel
B
11-50 Employees
2019
Key takeaway
Omid Vahdaty, the founder and CTO of Jutomate, highlights his expertise in Big Data architecture and data solutions, emphasizing his experience in building systems that manage trillions of records.
Reference
Service
Services | Big Data Demystified
Services provided by our business partners - Cost reduction, Bi dashboards for trillion of records and more
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Genius Data Science - AI ML & Optimization
Petah Tikva, Israel
B
11-50 Employees
1997
Key takeaway
Genius Data Science is a boutique company that specializes in artificial intelligence, machine learning, and analytics, emphasizing their expertise in Big Data and various analytical approaches. Their ability to transform data into actionable insights positions them as a key player in the data science landscape.
Reference
Core business
Home Page | Genius
Genius Data Science One Stop Shop for Data Science Solutions and Services Genius Data Science הינה חברת בוטיק המתמחה בבינה מלאכותית, למידת מכונה, חקר ביצועים ואופטימיזציה. "מבינים ביזנס, אוהבים data וגאונים באנליטיקה" שילוב יכולות זה מאפשר לנו לתרגם כל אתגר לפתרון אנליטי. מתמחים ב- Big Data, Structured & Unstructured Data, גישות אנליטיות מגוונות, פיתוח ב- […]
Infinita
Tel-Aviv, Israel
B
1-10 Employees
2016
Key takeaway
Infinita specializes in Big Data and Artificial Intelligence, offering comprehensive solutions that ensure high reliability and scalability. They provide consultancy and hands-on support throughout all phases of Big Data projects, from design to production.
Reference
Core business
Infinita Big Data | Machine Learning and Big Data consulting
Infinita Big Data provides: Machine Learning and big data consultancy and hands on, in all project's phases from design to production.
Sea Data
Nes Ziona, Israel
B
1-10 Employees
2009
Key takeaway
SeaData is a consulting and professional services company specializing in Big Data, offering comprehensive data solutions that encompass design, architecture, and technology matching. They focus on reducing data service costs while significantly improving performance, including migrating traditional databases to open-source options like MySQL and PostgreSQL.
Reference
Core business
Sea Data - Big Data & Cloud | Business Intelligence services
Sea Data provides Full cycle data management, cloud services, and business analysis solutions by highly qualified team. for information click here
DITOMIC
Yokneam Ilit, Israel
B
1-10 Employees
-
Key takeaway
DITOMIC specializes in managing Big Data, emphasizing scalable and reliable data processing solutions that enhance enterprise workloads. Their focus on advanced data techniques positions them as a leader in transforming data into valuable business insights.
Reference
Core business
DITOMIC - data processing, scaling, securifying, cloudifying, ML, etc.
DITOMIC is a tech company with a focus on everything around the data: processing, scaling, securifying, cloudifying, ML, etc.
Vision.bi
Tel-Aviv, Israel
B
101-250 Employees
2007
Key takeaway
The company emphasizes the importance of treating data as a valuable asset and offers advanced data services, highlighting their focus on data quality.
Reference
Product
Data Quality | Vision.bi
Hence 4
Ramat HaSharon, Israel
B
1-10 Employees
2021
Key takeaway
The company specializes in big data infrastructure and data engineering, offering a wide range of services and real-time data solutions to streamline data science. With over 15 years of experience in managing IT projects, their experts are well-equipped to support businesses in optimizing their data strategies.
Reference
Core business
Hence4 – Streamlining Data Science
Data Guild
Tel-Aviv, Israel
B
11-50 Employees
2020
Key takeaway
Data Guild is a trusted advisor in the tech industry, specializing in business intelligence and big data. They help companies leverage data to make informed decisions and drive growth through tailored data strategies and advanced solutions.
Reference
Product
Technology
Bi & Big Data Platforms | Databases | storage | Visualization Tools
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Product
edbic
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Service
EMCP
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AI & Data platform
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A selection of suitable use cases for products or services provided by verified companies according to your search.
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.
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.
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.
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.
When exploring the Big Data industry in Israel, several key considerations come into play. First, the country boasts a vibrant tech ecosystem, characterized by a strong startup culture and significant investment in research and development. This environment fosters innovation and provides ample opportunities for collaboration among tech companies, academic institutions, and government agencies. Understanding local regulations is crucial, particularly regarding data privacy and protection laws that align with international standards, such as the GDPR. Companies must navigate these regulations while ensuring compliance and maintaining user trust. Additionally, the competitive landscape is intense, with numerous players ranging from established firms to emerging startups, which can create both challenges and opportunities for differentiation. Environmental concerns also play a role, especially as data centers consume significant energy resources. Companies are increasingly prioritizing sustainable practices to minimize their ecological footprint, which can influence operational strategies and investments in green technology. Moreover, the global market relevance of Israel's Big Data sector is growing, as companies increasingly seek to leverage data analytics for insights and predictive modeling in various fields, including healthcare and finance. Overall, a comprehensive understanding of these factors is essential for anyone interested in entering the Big Data landscape in Israel.
Some interesting numbers and facts about your company results for Big Data
Country with most fitting companies | Israel |
Amount of fitting manufacturers | 96 |
Amount of suitable service providers | 57 |
Average amount of employees | 1-10 |
Oldest suiting company | 1997 |
Youngest suiting company | 2021 |
Some interesting questions that has been asked about the results you have just received for Big Data
What are related technologies to Big Data?
Based on our calculations related technologies to Big Data are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Big Data?
Start-Ups who are working in Big Data are Hence 4
Which industries are mostly working on Big Data?
The most represented industries which are working in Big Data are IT, Software and Services, Other, Marketing Services, Finance and Insurance, Telecommunications
How does ensun find these Big Data Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.