Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Numerous products are available that assist businesses in this endeavor, but if your main goals are to build a data-driven organization while maximizing efficiency and minimizing costs, the only option worth considering is Fraxses, the leading distributed data platform in the world. Fraxses gives clients on-demand access to data, providing impactful insights through a solution that supports either a data mesh or data fabric architecture. Imagine a data mesh as a framework that overlays various data sources, linking them together and allowing them to operate as a cohesive unit. In contrast to other platforms focused on data integration and virtualization, Fraxses boasts a decentralized architecture that sets it apart. Although Fraxses is fully capable of accommodating traditional data integration methods, the future is leaning towards a novel approach where data is delivered directly to users, eliminating the necessity for a centrally managed data lake or platform. This innovative perspective not only enhances user autonomy but also streamlines data accessibility across the organization.
Description
The rapid expansion of consumer data over the last ten years is now being eclipsed by a remarkable surge in business data, creating both unique opportunities and significant challenges for companies and cloud service providers alike. This situation necessitates a revolutionary approach to developing and scaling storage infrastructure. Our vision for this evolution is embodied in the Infinidat Elastic Data Fabric, which reimagines enterprise storage, transitioning from conventional hardware appliances to flexible, high-performance pools of digital storage that are both highly reliable and cost-effective, with effortless data mobility across data centers and public cloud environments. Today, professionals in various industries are grappling with a similar challenge due to the wave of digital transformation influencing their operations. As traditional hardware-based storage solutions are becoming prohibitively expensive and increasingly difficult to manage, they also fall drastically short of the requirements for the data-centric future. Consequently, it is imperative for these systems to transform into innovative software-defined on-premises enterprise storage clouds to meet the demands of the evolving digital landscape. This shift not only enhances efficiency but also positions organizations to better harness the power of their data.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Microsoft Excel
Otava
Quantum VS-NVR Series
The Thrive Platform
Integrations
Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Microsoft Excel
Otava
Quantum VS-NVR Series
The Thrive Platform
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Intenda
Founded
2001
Country
South Africa
Website
intenda.tech/fraxses/
Vendor Details
Company Name
Infinidat
Founded
2011
Country
Israel
Website
www.infinidat.com/sites/default/files/resource-pdfs/Infinidat%20Elastic%20Data%20Fabric%20White%20Paper.pdf
Product Features
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Product Features
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management