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Technaura Systems
Mainz, Germany
A
11-50 Employees
-
Key takeaway
Technaura specializes in real-time big data analytics, offering solutions that enable the collection, management, and access of data for actionable insights and enhanced business efficiency. Their platform integrates with leading technologies and partners, such as Imply, to provide real-time analytics and monitoring, including anomaly detection through data pipelines using Kafka.
Reference
Product
Solutions | Technaura
Technaura has created a platform that can analyse data from multiple IoT services in real-time. It triggers alerts in case of anomaly detection.
Realtime Big Data
São Paulo, Brazil
C
- Employees
-
Key takeaway
Real Time Big Data aims to provide clear and reliable data and analytics to support decision-making for businesses, institutions, and organizations. With a multidisciplinary team and a focus on agility and reliability, they emphasize the importance of data-driven insights.
Reference
Core business
RealTime Big Data
O Real Time Big Data tem como objetivo fornecer dados e análises claros e confiáveis para auxiliar a tomada de decisões.
Actian
Palo Alto, United States
B
251-500 Employees
1980
Key takeaway
The Actian Data Platform offers advanced real-time big data analytics that enhances the speed and efficiency of data processing, allowing organizations to make rapid, data-driven decisions. By leveraging full system resources and advanced vector processing, it simplifies data management and integration, ultimately improving time-to-value for critical insights.
Reference
Product
Real-Time Decision-Making - Brought to you by Actian
Data-Driven rapid responses need an out-of-the-box approach. Actian delivers Insights at the speed of business. Real-Time decision making
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mLogica LLC
Las Vegas, United States
B
251-500 Employees
2004
Key takeaway
mLogica specializes in hyperscale big data ingestion and near-real-time analytics, providing actionable insights across various industries. Their expertise in database and application modernization positions them as a key partner for organizations seeking to leverage data for strategic decision-making.
Reference
Service
Business Analytics for Hyperscale Big Data - mLogica
BigBrother Analytics
Cairo, Egypt
D
11-50 Employees
-
Key takeaway
MediaSci, a data-driven digital agency, is developing a comprehensive platform called Big Brother Analytics (BBA), which specializes in real-time big data analytics. BBA serves as a consumer intelligence platform that analyzes digital interactions, providing valuable insights into preferences and sentiments to inform decision-making and enhance marketing efforts.
Reference
Service
Big Data Services – BigBrother Analytics
Big Data Analytics
Lahore, Pakistan
E
11-50 Employees
2018
Key takeaway
The company specializes in data analytics and software engineering services for data-driven businesses, highlighting its expertise in Big Data Analytics. Their product, Bits, focuses on building credit scores, which underscores their commitment to leveraging data for impactful financial solutions.
Reference
Core business
Big Data Analytics
informa-tix.com
Israel
B
1-10 Employees
2011
Key takeaway
The company specializes in providing innovative solutions for real-time big data analytics, emphasizing their expertise in mining, streaming, and analyzing data of any size and rate. They also offer tailored IoT and machine-learning solutions designed to draw insights in real-time.
Reference
Core business
informa-tix.com – Collect and Analyze bigData
EMQ Technologies
Hangzhou City, China
D
51-100 Employees
2017
Key takeaway
The company specializes in real-time IoT analytics, offering solutions that enable complex query and analysis operations through their innovative streaming database. Their core product, EMQX, supports high-throughput and low-latency messaging, making it ideal for processing and integrating real-time IoT data.
Reference
Product
Real-time IoT Analytics | EMQ
Real-time analytics solutions based on the innovative streaming database support complex query and analysis operations.
StarTree
Mountain View, United States
B
11-50 Employees
2018
Key takeaway
StarTree Cloud offers a robust real-time analytics platform powered by Apache Pinot, specifically designed for fast and scalable user-facing applications. This fully-managed Database-as-a-Service (DBaaS) allows businesses to focus on deriving insights from their data and developing applications without administrative burdens.
Reference
Core business
Real-Time Analytics for a User-Facing World | StarTree
The real-time analytics platform for your business and your users trusted in production, at scale, from the creators of Apache Pinot.
Dignitas Solutions Inc
Scarborough, United States
B
1-10 Employees
2019
Key takeaway
Dignitas Solutions specializes in designing analytical platforms that enable organizations to leverage real-time big data analytics. They focus on stream processing technologies, allowing continuous data streams to be processed and analyzed as they are generated.
Reference
Service
Consulting - Dignitas Solutions
Technologies which have been searched by others and may be interesting for you:
Real-time big data analytics refers to the process of analyzing large volumes of data as it is created or received, allowing organizations to gain insights and make decisions instantly. This technology utilizes advanced processing frameworks and tools to handle data streams in real-time, which enhances operational efficiency and responsiveness. By leveraging algorithms and machine learning, businesses can detect patterns, monitor trends, and react to changes immediately, significantly improving their competitive edge. Providers of real-time big data analytics typically offer robust platforms that facilitate data ingestion, processing, and visualization. These services enable businesses to analyze data from various sources, such as social media, IoT devices, and transactional systems, ensuring that decision-makers have access to the latest insights. The ability to analyze data in real-time supports proactive strategies and enhances customer experiences through timely interventions.
Real-time big data analytics processes vast amounts of data as it is generated, enabling organizations to gain immediate insights. The system typically utilizes technologies such as stream processing and complex event processing to analyze data from various sources in real time. Data is ingested continuously from multiple channels, such as social media, sensors, and transactional systems. Advanced algorithms and machine learning models then analyze this data to identify patterns, trends, and anomalies. This rapid analysis allows businesses to make informed decisions quickly, enhancing operational efficiency and responsiveness to market changes.
1. Improved Decision Making
Real-time big data analytics enables organizations to make swift and informed decisions. By processing data as it arrives, businesses can respond to changing conditions and consumer behavior immediately, ensuring they stay ahead of the competition.
2. Enhanced Customer Experience
With real-time insights, companies can tailor their offerings and services to meet customer needs effectively. This immediate feedback loop allows for personalized interactions, fostering better customer satisfaction and loyalty.
3. Operational Efficiency
Real-time analytics streamline business operations by identifying inefficiencies and bottlenecks instantly. This allows organizations to optimize processes and resource allocation, leading to cost savings and improved productivity.
4. Competitive Advantage
Organizations utilizing real-time big data analytics can gain a significant edge over competitors. The ability to analyze trends and adapt quickly to market changes empowers businesses to innovate and seize opportunities faster.
5. Risk Management
Real-time monitoring of data can help organizations detect anomalies and potential risks as they arise. This proactive approach to risk management minimizes losses and enhances overall business resilience.
Various industries leverage real-time big data analytics to enhance decision-making and operational efficiency.
1. Healthcare
In healthcare, real-time analytics improve patient care by enabling immediate insights from patient data. This aids in monitoring vital signs and predicting potential health issues.
2. Retail
Retailers use real-time analytics to understand customer behavior and optimize inventory management. This allows for personalized marketing strategies and improved customer experiences.
3. Financial Services
The financial sector employs real-time analytics for fraud detection and risk management. Instant data processing helps in monitoring transactions and identifying suspicious activities.
4. Manufacturing
Manufacturers utilize real-time analytics to enhance production processes and minimize downtime. This data-driven approach allows for predictive maintenance and efficient resource allocation.
5. Telecommunications
Telecom companies rely on real-time analytics to manage network performance and customer service. Quick insights enable efficient troubleshooting and service optimization.
Real-time big data analytics presents several challenges that organizations must navigate. One significant issue is the need for robust infrastructure to handle large volumes of data streams efficiently. This includes ensuring low-latency processing and storage, which can be costly and complex to implement. Another challenge lies in data integration from diverse sources. Organizations often struggle to unify data from various platforms and formats, which can hinder the effectiveness of real-time analysis. Additionally, maintaining data quality and accuracy is crucial, as errors in real-time analytics can lead to misguided business decisions. Security and privacy concerns also arise, particularly when dealing with sensitive information, necessitating stringent measures to safeguard data while still allowing for rapid access and analysis.
Some interesting numbers and facts about your company results for Real-Time Big Data Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 8373 |
| Amount of suitable service providers | 6648 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1980 |
| Youngest suiting company | 2019 |
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Some interesting questions that has been asked about the results you have just received for Real-Time Big Data Analytics
What are related technologies to Real-Time Big Data Analytics?
Based on our calculations related technologies to Real-Time Big Data Analytics are Education, Engineering Services, IT & Technology Services, Healthcare Services, Consulting
Which industries are mostly working on Real-Time Big Data Analytics?
The most represented industries which are working in Real-Time Big Data Analytics are IT, Software and Services, Other, Consulting, Marketing Services, Finance and Insurance
How does ensun find these Real-Time Big Data Analytics 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.
