Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Altova MapForce is a highly acclaimed graphical data mapping software designed for seamless any-to-any data conversion and integration. Its robust suite of data mapping tools enables instant data transformation and offers various automation options for repetitive tasks. With unmatched power and adaptability, Altova MapForce excels in advanced data mapping, conversion, and transformation processes. This platform is available at a much lower price point compared to traditional data management solutions and avoids the limitations associated with outdated design features found in legacy systems. The user-friendly MapForce interface enhances data integration by providing a visual workspace filled with numerous options for managing, visualizing, manipulating, and executing both simple and complex mapping tasks. In the design pane, users can effortlessly define mapping elements, incorporate functions and filters for effective data manipulation, and utilize drag-and-drop connectors to facilitate transformations between various source and target formats, making it a versatile tool for data professionals. This flexibility allows users to tackle diverse data integration challenges with ease and efficiency.
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.
API Access
Has API
No
API Access
Has API
No
Integrations
ActiveBatch Workload Automation
No
Control-M
No
FairCom DB
No
FairCom EDGE
No
IBM Cloud Pak for Applications
No
IBM Watson Studio
No
IRI FieldShield
No
MettleCI
No
Origina
No
Pantomath
No
Integrations
ActiveBatch Workload Automation
Yes
Control-M
Yes
FairCom DB
Yes
FairCom EDGE
Yes
IBM Cloud Pak for Applications
Yes
IBM Watson Studio
Yes
IRI FieldShield
Yes
MettleCI
Yes
Origina
Yes
Pantomath
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Altova
Founded
1992
Country
United States
Website
www.altova.com/mapforce
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/infosphere-datastage
Product Features
ETL
Data Analysis
No
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
Yes
Version Control
No
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Lineage
Database Change Impact Analysis
No
Filter Lineage Links
No
Implicit Connection Discovery
No
Lineage Object Filtering
No
Object Lineage Tracing
No
Point-in-Time Visibility
No
User/Client/Target Connection Visibility
No
Visual & Text Lineage View
No
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No