No more typing reviews! Try our Samantha, our new voice AI agent.

Skyvia vs ibi Open Data Hub for Mainframe comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 1, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

ibi Open Data Hub for Mainf...
Ranking in Data Integration
63rd
Average Rating
10.0
Reviews Sentiment
5.4
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Skyvia
Ranking in Data Integration
60th
Average Rating
9.0
Reviews Sentiment
7.8
Number of Reviews
1
Ranking in other categories
Cloud Data Integration (29th)
 

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of ibi Open Data Hub for Mainframe is 0.6%, up from 0.2% compared to the previous year. The mindshare of Skyvia is 0.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Skyvia0.7%
ibi Open Data Hub for Mainframe0.6%
Other98.7%
Data Integration
 

Featured Reviews

it_user3876 - PeerSpot reviewer
Database Manager at a tech company with 51-200 employees
Provides High Reliability and Data Security
• Data in the datahub refreshes nightly. As the data only refreshes once every day, it is necessary to have to wait for any changes to thesource systems to become available.The daily refresh can be extremely useful for reconciling data. • DataHub only displays details of current members of the Organization. So it has much limited data available for generation of dynamic reports. • DataHub is volatile. The records are completely re-loaded each day. It puts burden on the system. • There are very few summary tables available due to storage of data in a detailed format. • The detailed information is not stored in the DataHub. It is stored in the relevant source system. Only commonly required data is stored within the DataHub.
RH
CTO & Developer at a consultancy with self employed
The product works, is simple to use, and is reliable.
Error handling. This has caused me many problems in the past. When an error occurs, the event on the connection that is called does not seem to behave as documented. If I attempt a retry or opt not to display an error dialog, it does it anyway. In all fairness, I have never reported this. I think it is more important that a unique error code is passed to the error event that identifies a uniform type of error that occurred, such as ecDisconnect, eoInvalidField. It is very hard to find what any of the error codes currently passed actually mean. A list would be great for each database engine. Trying to catch an exception without displaying the UniDAC error message is impossible, no matter how you modify the parameters in the OnError of the TUniConnection object. I have already implemented the following things myself. They are suggestions rather than specific requests. Copy Datasets: This contains an abundance of redundant options. I think that a facility to copy one dataset to another in a single call would be handy. Redundancy: I am currently working on this. I have extended the TUniConnection to have an additional property called FallbackConnection. If the TUniConnection goes offline, the connection attempts to connect the FallbackConnection. If successful, it then sets the Connection properties of all live UniDatasets in the app to the FallbackConnection and re-opens them if necessary. The extended TUniConnection holds a list of datasets that were created. Each dataset is responsible for registering itself with the connection. This is a highly specific feature. It supports an offline mode that is found in mission critical/point of sale solutions. I have never seen it implement before in any DACs, but I think it is a really unique feature with a big impact. Dataset to JSON/XML: A ToSql function on a dataset that creates a full SQL Text statement with all parameters converted to text (excluding blobs) and included in the returned string. Extended TUniScript:- TMyUniScript allows me to add lines of text to a script using the normal dataset functions, Script.Append, Script.FieldByName(‘xxx’).AsString := ‘yyy’, Script.AddToScript and finally Script.Post, then Script.Commit. The AddToScript builds the SQL text statement and appends it to the script using #e above. Record Size Calculation. It would be great if UniDac could estimate the size of a particular record from a query or table. This could be used to automatically set the packet fetch/request count based on the size of the Ethernet packets on the local area network. This I believe would increase performance and reduce network traffic for returning larger datasets. I am aware that this would also be a unique feature to UniDac but would gain a massive performance enhancement. I would suggest setting the packet size on the TUniConnection which would effect all linked datasets.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"All staff members and users can request an account which can be accessed from all PCs on the company’s network."
"For what it offers, I think this solution is a must for any Delphi programmer."
 

Cons

"DataHub is volatile; the records are completely re-loaded each day, which puts a burden on the system."
"Error handling has caused me many problems in the past; when an error occurs, the event on the connection that is called does not seem to behave as documented."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
908,800 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
21%
Comms Service Provider
12%
Performing Arts
12%
Financial Services Firm
9%
Performing Arts
17%
Construction Company
17%
Outsourcing Company
10%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Also Known As

iWay Data Hub, Data Hub, Information Builders Data Hub
Skyvia, Skyvia Data Integration
 

Overview

 

Sample Customers

Ford Motor Company, City of Erlanger, Kentucky Police Dept., Helzberg Diamond Inc.
Boeing, Sony, Honda, Oracle, BMW, Samsung
Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: July 2026.
908,800 professionals have used our research since 2012.