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A-Cloud Solutions
New York, United States
B
11-50 Employees
-
Key takeaway
The company collaborates with top cloud providers to facilitate the migration of legacy data systems to the cloud.
Reference
Core business
Cloud Solutions Provider
Cloudpap
Austin, United States
B
11-50 Employees
2017
Key takeaway
Cloudpap offers a robust suite of products that includes global data analysis, making it a valuable resource for cloud analytics. Their commitment to high uptime and easy deployment further enhances their capabilities for effective data management and analysis.
Reference
Product
Global Data Analysis - Simple Cloud for Developers - CloudPap
Cloudbia Technologies
Dubai South, United Arab Emirates
C
11-50 Employees
2012
Key takeaway
CloudBIA is a global digital solutions provider that specializes in data science and AI solutions, including big data analytics. Their strategic consulting services are designed to help clients develop effective strategies for digital innovation and hybrid multi-cloud deployments.
Reference
Service
Big Data Analytics - Cloudbia
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cloudlogic.dev
London, United Kingdom
A
1-10 Employees
-
Key takeaway
The company specializes in Data Analytics, particularly in a cloud environment, highlighting their expertise in integrating cloud technologies with data solutions.
Reference
Service
Data Analytics - cloudlogic.dev
Cloud App Platform Ltd
London, United Kingdom
A
11-50 Employees
2019
Key takeaway
The Cloud App Platform specializes in delivering fully customized applications in the cloud, utilizing leading-edge technologies. This approach allows for quick and cost-effective development and maintenance, which can be highly beneficial for cloud analytics solutions.
Reference
Core business
Cloud App Platform
SCloud Pte. Ltd.
Singapore
C
11-50 Employees
2016
Key takeaway
SCloud offers a range of cloud computing solutions, including cloud monitoring services, which are essential for effective cloud analytics. Their commitment to 24/7 customer service and a robust infrastructure ensures reliable support for organizations seeking to leverage data in the cloud.
Reference
Product
Cloud Monitoring – SCloud
Pivotal BI
London, United Kingdom
A
1-10 Employees
2000
Key takeaway
The company specializes in cloud analytics, offering a range of data-related services that leverage the latest industry approaches to enhance analytical architecture and deliver business value. Their expertise includes cloud data integration and analytics, utilizing PaaS and IaaS resources to address integration challenges effectively.
Reference
Core business
Cloud Analytics, Cloud Data Integration, Data Warehousing, Data Science
Cloud Analytics and Business Intelligence consultancy. Azure data platform services with databricks, open source and Microsoft BI. Microsoft Partner.
cloudxchange.io
Mumbai, India
D
101-250 Employees
2015
Key takeaway
Cloudxchange.io, a multi-cloud managed services provider, offers advanced data analytics tools and cloud analytics solutions designed to enhance your enterprise's digital transformation journey. Their expertise in optimizing cloud performance ensures that businesses can effectively leverage data analytics for informed decision-making.
Reference
Product
Cloudxchange : Solutions :: Cloud Analytics & Optimization
Cloud Insights Sverige AB
Stockholm, Sweden
A
1-10 Employees
2013
Key takeaway
Cloud-Insights, operated by ThoughtProcess Limited, offers simple resource tagging to help guard against cloud overspend, making it a valuable tool for effective cloud analytics.
Reference
Core business
Cloud-Insights
Perfect Image
Newcastle upon Tyne, United Kingdom
A
51-100 Employees
1991
Key takeaway
Cybit is dedicated to empowering businesses through its comprehensive solutions, which include cloud migration and data analytics. With a strong emphasis on digital transformation, Cybit highlights that the future of business intelligence (BI) lies in cloud analytics, offering benefits like lower operational costs and scalable compute power.
Reference
Service
Hosting I Cloud Analytics - Cybit
Cybit offers lower operational costs, infinitely scalable compute power, and stress-free infrastructure with cloud storage analytics
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.
Service
Looker
Go to product
Service
Kloudle
Go to product
A selection of suitable use cases for products or services provided by verified companies according to your search.
Use case
Looker
All
After you analyze your data, you will need to create a real-time dashboard that will help you stay up to date on your operations. With a visualize tool that allow you to talk with the data you can rapidly understand issues to fix them, but you will also find insights that will allow you to accelerate anything successful.
Use case
Comprehensive Cloud Security Management with Kloudle
software
Kloudle enables businesses to protect their cloud environments efficiently by offering a comprehensive cloud security posture management system. It scans for over 350 potential security issues and provides actionable solutions, all without requiring specialized expertise. Major cloud providers such as AWS, Google Cloud, DigitalOcean, Azure, and Kubernetes are supported, ensuring broad compatibility and robust security management. With user-friendly features including a centralized dashboard, actionable insights, rapid scan results, and comprehensive reporting, Kloudle empowers users to maintain a secure cloud environment effortlessly.
Use case
Looker
All
After you analyze your data, you will need to create a real-time dashboard that will help you stay up to date on your operations. With a visualize tool that allow you to talk with the data you can rapidly understand issues to fix them, but you will also find insights that will allow you to accelerate anything successful.
Cloud analytics refers to the use of cloud computing resources and services to analyze and process data. This technology allows organizations to leverage scalable computing power and storage capabilities, enabling them to perform complex data analysis without the need for extensive on-premises infrastructure. By utilizing cloud-based tools, businesses can gain insights from large datasets in real-time, enhancing their decision-making processes. Furthermore, cloud analytics offers flexibility and cost-effectiveness, as organizations can pay for only the resources they use, making it accessible for companies of all sizes.
Cloud Analytics significantly enhances data processing efficiency by leveraging scalable computing resources. With cloud infrastructure, organizations can access virtually unlimited processing power and storage capacity, allowing them to analyze vast amounts of data in real-time. This scalability ensures that businesses can handle peak loads without investing in expensive on-premises hardware. In addition, cloud analytics tools often incorporate advanced algorithms and machine learning capabilities, which automate and optimize data analysis processes. By utilizing these sophisticated technologies, companies can generate insights faster and make data-driven decisions more effectively. The ability to integrate data from multiple sources also streamlines workflows, further boosting overall efficiency.
Utilizing cloud analytics can lead to significant cost benefits for organizations. One major advantage is the reduction in infrastructure costs. Traditional analytics often requires substantial investment in hardware and software, while cloud analytics typically operates on a pay-as-you-go model, allowing businesses to scale their resources based on current needs without upfront capital expenditures. Additionally, cloud analytics can lower operational costs. By outsourcing data storage and processing to cloud providers, companies can minimize expenses related to maintenance, upgrades, and IT staffing. This flexibility also enables quicker deployment of analytics solutions, allowing organizations to realize value from their data more rapidly and efficiently.
Data security within Cloud Analytics platforms is a critical consideration. These platforms typically employ advanced security measures, including encryption, access controls, and regular security audits. Encryption ensures that data is protected both in transit and at rest, making it unreadable to unauthorized users. Access controls limit data visibility based on user roles, ensuring that only authorized personnel can access sensitive information. Furthermore, many providers adhere to industry standards and compliance regulations, which add an additional layer of security. Regular security audits help identify vulnerabilities and ensure that the platform maintains its security posture over time. Overall, while no system is completely immune to risks, Cloud Analytics platforms implement robust security frameworks to protect data effectively.
1. Data Integration
A robust Cloud Analytics solution should provide seamless data integration capabilities, allowing users to connect with various data sources, both on-premise and in the cloud. This enables the aggregation of data from multiple platforms for comprehensive analysis.
2. Real-Time Analytics
The ability to perform real-time analytics is crucial. Users should be able to access and analyze data instantaneously, enabling timely decision-making based on the most current information available.
3. Scalability
Scalability is essential for accommodating the growing volume of data and user demands. A good Cloud Analytics solution should be able to scale resources up or down as needed, ensuring optimal performance without significant cost increases.
4. Data Visualization
Effective data visualization tools should be included to help users interpret complex data sets easily. Interactive dashboards and customizable reports enhance understanding and facilitate better insights.
5. Security and Compliance
Security features must be robust, protecting sensitive data through encryption, access controls, and compliance with industry standards. This reassures users that their data is safe and meets regulatory requirements.
6. Collaboration Tools
Collaboration features that support sharing insights and reports among team members are vital. This fosters a data-driven culture within organizations, allowing multiple stakeholders to contribute to data analysis and decision-making processes.
Some interesting numbers and facts about your company results for Cloud Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 6102 |
| Amount of suitable service providers | 5977 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1991 |
| Youngest suiting company | 2019 |
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Some interesting questions that has been asked about the results you have just received for Cloud Analytics
What are related technologies to Cloud Analytics?
Based on our calculations related technologies to Cloud Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Cloud Analytics?
The most represented industries which are working in Cloud Analytics are IT, Software and Services, Other, Consulting, Marketing Services, Telecommunications
How does ensun find these Cloud 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.
