Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Boost the pace of AI innovation through cloud-native data integration offered by IBM Cloud Pak for Data. With AI-driven data integration capabilities accessible from anywhere, the effectiveness of your AI and analytics is directly linked to the quality of the data supporting them. Utilizing a modern container-based architecture, IBM® DataStage® for IBM Cloud Pak® for Data ensures the delivery of superior data. This solution merges top-tier data integration with DataOps, governance, and analytics within a unified data and AI platform. By automating administrative tasks, it helps in lowering total cost of ownership (TCO). The platform's AI-based design accelerators, along with ready-to-use integrations with DataOps and data science services, significantly hasten AI advancements. Furthermore, its parallelism and multicloud integration capabilities enable the delivery of reliable data on a large scale across diverse hybrid or multicloud settings. Additionally, you can efficiently manage the entire data and analytics lifecycle on the IBM Cloud Pak for Data platform, which encompasses a variety of services such as data science, event messaging, data virtualization, and data warehousing, all bolstered by a parallel engine and automated load balancing features. This comprehensive approach ensures that your organization stays ahead in the rapidly evolving landscape of data and AI.
Description
Oracle Self-Service Integration streamlines tasks among various cloud applications, enhancing both productivity and collaboration by allowing users to automate manual processes independently of IT support. This solution enables users to connect Oracle applications with other widely-used cloud services, as well as facilitate integrations among their preferred cloud tools. The SSI dashboard serves as a central hub, providing access to all product features and allowing users to view their recipes, which include active, inactive, and incomplete tasks in the My Recipes section. Users can select any recipe to enter the Recipe Editor for further customization and management. Additionally, the Cloud Apps collection allows users to browse and discover their preferred applications, and they can refine their search by specifying one or more cloud services to find exactly what they need. This comprehensive integration platform ultimately empowers organizations to optimize their workflows and collaborate more effectively.
API Access
Has API
API Access
Has API
Integrations
Asana
BMC AMI Ops Automation for Capping
BMC Helix Cloud Cost
FairCom DB
FairCom EDGE
Gmail
Google Cloud Platform
Google Drive
Google Sheets
IBM Cloud Pak for Applications
Integrations
Asana
BMC AMI Ops Automation for Capping
BMC Helix Cloud Cost
FairCom DB
FairCom EDGE
Gmail
Google Cloud Platform
Google Drive
Google Sheets
IBM Cloud Pak for Applications
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
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/infosphere-datastage
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
docs.oracle.com/en/cloud/paas/self-service-integration-cloud/index.html
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Lineage
Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Product Features
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services