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Perspectium DataSync vs ibi Open Data Hub for Mainframe comparison

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Buyer's Guide
Cloud Data Integration
April 2024
Executive Summary

We performed a comparison between ibi Open Data Hub for Mainframe and Perspectium DataSync based on real PeerSpot user reviews.

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Featured Review
Anonymous User
Provides High Reliability and Data Security
Use Perspectium DataSync?
Ranking
62nd
out of 101 in Data Integration
Views
270
Comparisons
237
Reviews
0
Average Words per Review
0
Rating
N/A
24th
out of 44 in Cloud Data Integration
Views
408
Comparisons
360
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Cloud Data Integration
April 2024
Download Free Report
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: April 2024.
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769,976 professionals have used our research since 2012.
Comparisons
Also Known As
iWay Data Hub, Data Hub, Information Builders Data Hub
Learn More
Information Builders
Perspectium
Overview

The ibi Open Data Hub for Mainframe offers streamlined access to mainframe data directly within chosen BI tools, simplifying a traditionally cumbersome process. It enables real-time analysis of mainframe data, eliminating delays associated with data warehouse updates. Compatible with various BI tools like Tableau and Power BI, it ensures flexibility in software selection. Security protocols maintain data integrity, and features ensure data availability and reliability. Key benefits include improved data availability, simplified retrieval processes, enhanced analytics capabilities, and modernization without data migration.

Perspectium DataSync is delivered as a comprehensive application in ServiceNow that allows sophisticated data synchronization scenarios to be created without coding. Your data is secure and private due to end-to-end and at-rest encryption, and the performance of your application instances are minimally impacted due to “push” data streaming. By utilizing a message queue, DataSync removes the need for data endpoints to be up and functional all the time, eliminating risk of data loss during intermittent outages at the endpoints. Additionally, due to our use of message brokering, your data stream can be flexibly re-configured without any change to the source - allowing you to flow your data to different targets with minimal impact, and automatic schema creation and maintenance of your data lake means data appears as soon as the schema changes.

Sample Customers
Ford Motor Company, City of Erlanger, Kentucky Police Dept., Helzberg Diamond Inc.
Aetna, Blue Cross Blue Shield, GE, Rogers, Zurich
Top Industries
No Data Available
VISITORS READING REVIEWS
Financial Services Firm39%
Computer Software Company17%
Energy/Utilities Company6%
Manufacturing Company5%
Company Size
No Data Available
VISITORS READING REVIEWS
Small Business14%
Midsize Enterprise7%
Large Enterprise79%
Buyer's Guide
Cloud Data Integration
April 2024
Download Free Report
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: April 2024.
DOWNLOAD NOW
769,976 professionals have used our research since 2012.

ibi Open Data Hub for Mainframe is ranked 62nd in Data Integration while Perspectium DataSync is ranked 24th in Cloud Data Integration. ibi Open Data Hub for Mainframe is rated 10.0, while Perspectium DataSync is rated 0.0. The top reviewer of ibi Open Data Hub for Mainframe writes "Provides High Reliability and Data Security". On the other hand, ibi Open Data Hub for Mainframe is most compared with AWS Glue and ibi DataMigrator, whereas Perspectium DataSync is most compared with AWS AppSync, AWS Glue and AWS Database Migration Service.

See our list of best Cloud Data Integration vendors.

We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.