dataFactorydFakto
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Related Products
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About
From discovery to deployment, Rhino.ai is your all-in-one AI platform for transforming legacy systems or building new applications, faster, smarter, and cost-effectively. Automated discovery reveals the full context of your legacy systems, enabling faster decision-making. Migrate to the technology stack that fits your goals, whether SaaS, low code/no code, open source, or cloud-native. Shorten time-to-value with streamlined modernization processes. Handle every stage, discovery, design, coding, and deployment, in one cohesive platform. Automatically extract business requirements from your existing legacy application portfolio, documents, code, and apps. Visualize all requirements, workflows, business logic, and data structures in your applications. Visualize all requirements, workflows, business logic, and data structures in your applications. Reengineer, modernize and rationalize your application requirements and to-be architectures.
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About
Cut out all the manual processes, sources of errors, and wasted time. Don’t re-engineer your data warehouse every time a business change occurs. Apply automatic quality checks inter and intra-sources, and take action quickly when needed. That’s crucial for hundreds of data consumers. Trust really your data now. Build your “gold record” referential so the business teams have always the freshest data possible. One single version of the truth, available anywhere, anytime. Build an intermediate model that structures, stores, and historicizes your data independently of their uses. Answer fast to changing sources and business requests. From raw data to any system, connect all your sources easily as for the first one (datalake, operational systems, excels, relational database, legacy tools, etc. Store, historicize, and improve data quality to facilitate data warehouse automation. Data is structured, enriched, and documented to be available in datasets (information marts).
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Enterprises and anyone in search of a solution to transform legacy systems into modern applications with AI
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Audience
Organizations in need of a tool to turn raw data from multiple sources into qualitative information for effective decision making
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Company InformationRhino.ai
Founded: 2021
United States
rhino.ai/
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Company InformationdFakto
Founded: 2000
Belgium
www.dfakto.com/datafaktory-data-warehouse-automation/
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Categories |
Categories |
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Integrations
Amazon Web Services (AWS)
Supported
Appian
Supported
Google Cloud Platform
Supported
Google Sheets
Not Supported
Microsoft Azure
Supported
Microsoft Excel
Not Supported
Microsoft Power Apps
Supported
Microsoft Power BI
Not Supported
OutSystems
Supported
Pega Platform
Supported
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Integrations
Amazon Web Services (AWS)
Not Supported
Appian
Not Supported
Google Cloud Platform
Not Supported
Google Sheets
Supported
Microsoft Azure
Not Supported
Microsoft Excel
Supported
Microsoft Power Apps
Not Supported
Microsoft Power BI
Supported
OutSystems
Not Supported
Pega Platform
Not Supported
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