Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Combine data silos effortlessly using Azure Data Factory, a versatile service designed to meet diverse data integration requirements for users of all expertise levels. You can easily create both ETL and ELT workflows without any coding through its user-friendly visual interface, or opt to write custom code if you prefer. The platform supports the seamless integration of data sources with over 90 pre-built, hassle-free connectors, all at no extra cost. With a focus on your data, this serverless integration service manages everything else for you. Azure Data Factory serves as a robust layer for data integration and transformation, facilitating your digital transformation goals. Furthermore, it empowers independent software vendors (ISVs) to enhance their SaaS applications by incorporating integrated hybrid data, enabling them to provide more impactful, data-driven user experiences. By utilizing pre-built connectors and scalable integration capabilities, you can concentrate on enhancing user satisfaction while Azure Data Factory efficiently handles the backend processes, ultimately streamlining your data management efforts.
Description
IBM Cloud Pak for Integration® serves as a comprehensive hybrid integration platform that employs an automated, closed-loop strategy to facilitate various integration styles within a cohesive interface. It allows businesses to unlock their data and assets as APIs, seamlessly connect cloud and on-premises applications, and ensure reliable data movement through enterprise messaging systems. Additionally, it enables real-time event interactions, facilitates cross-cloud data transfers, and allows for scalable deployment using cloud-native architecture alongside shared foundational services, all while maintaining robust enterprise-grade security and encryption. By leveraging this platform, organizations can optimize their integration processes using a multi-faceted approach that is both automated and efficient. Moreover, innovations such as natural language-driven integration flows, AI-enhanced mapping, and robotic process automation (RPA) can be implemented to further streamline integrations and utilize specific operational data for ongoing enhancements, including improved API test generation and workload management. Ultimately, this comprehensive suite empowers businesses to achieve superior integration outcomes and adapt to evolving demands effectively.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Azure Marketplace
Google Cloud BigQuery
Amazon Redshift
Apache Spark
Azure Service Fabric
Dropbox
Gmail
Jira
Klera
Integrations
Amazon S3
Azure Marketplace
Google Cloud BigQuery
Amazon Redshift
Apache Spark
Azure Service Fabric
Dropbox
Gmail
Jira
Klera
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$934 per month
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
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/data-factory/
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/cloud-pak-for-integration
Product Features
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Product Features
Enterprise Service Bus (ESB)
Data Source Connectors
Electronic Data Interchange (EDI)
Enterprise Application Integration
Enterprise Integration Patterns (EIP)
Integrations Management
Messaging
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services