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Description
Rhino.ai serves as a comprehensive AI platform that facilitates the transition from outdated systems to innovative applications more efficiently and economically, covering everything from initial discovery to final deployment. The automated discovery feature uncovers the complete context of your legacy systems, which in turn aids in making quicker decisions. You can seamlessly migrate to a technology stack that aligns with your objectives, whether that involves SaaS, low code/no code solutions, open source options, or cloud-native environments. By streamlining modernization processes, you can significantly reduce the time it takes to achieve value. The platform allows you to manage every phase—discovery, design, coding, and deployment—within a single integrated environment. It efficiently extracts business requirements from your existing legacy applications, documentation, code, and other apps. Moreover, you can visualize all requirements, workflows, business logic, and data structures associated with your applications, allowing for enhanced clarity and understanding. This visualization enhances your ability to reengineer, modernize, and rationalize your application requirements and future architectures, ensuring a robust framework for ongoing development. Ultimately, Rhino.ai empowers organizations to embrace digital transformation with confidence and agility.
Description
Data cleansing, migration, integration, and reconciliation can occur seamlessly between cloud environments and on-premise systems.
Operating on OCI, it provides secure connectivity to Oracle Enterprise Applications whether hosted in the cloud or on-premises. This unified platform facilitates data and setup migrations, integrations, reconciliations, big data ingestion, and archival processes. It boasts over 9,000 pre-built API templates and web services for enhanced functionality. The data quality engine incorporates pre-configured business rules to efficiently profile, clean, enrich, and correct data, ensuring high standards are maintained. With its configurable, agile design, it supports both low-code and no-code environments, allowing for immediate utilization in a fully cloud-enabled context.
This migration platform is specifically designed for transferring data into Oracle Cloud Applications, Oracle E-Business Suite, Oracle JD Edwards, Microsoft Dynamics, Oracle Peoplesoft, and numerous other enterprise applications, accommodating a range of legacy systems as well. Its robust and scalable framework is complemented by a user-friendly interface, while more than 3,000 Smart Data Adapters are available, providing comprehensive coverage for various Oracle Applications and enhancing the overall migration experience.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Appian
Google Cloud Platform
Microsoft Azure
Microsoft Power Apps
OutSystems
Pega Platform
ServiceNow
Unqork
Integrations
Amazon Web Services (AWS)
Appian
Google Cloud Platform
Microsoft Azure
Microsoft Power Apps
OutSystems
Pega Platform
ServiceNow
Unqork
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
Rhino.ai
Founded
2021
Country
United States
Website
rhino.ai/
Vendor Details
Company Name
ChainSys
Founded
1998
Country
United States
Website
www.chainsys.com
Product Features
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control