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CA Datacom vs IBM InfoSphere Optim comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 23, 2025

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

CA Datacom
Ranking in Database Development and Management
26th
Average Rating
9.0
Reviews Sentiment
8.6
Number of Reviews
7
Ranking in other categories
No ranking in other categories
IBM InfoSphere Optim
Ranking in Database Development and Management
15th
Average Rating
6.8
Reviews Sentiment
6.1
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Database Development and Management category, the mindshare of CA Datacom is 1.4%, up from 0.6% compared to the previous year. The mindshare of IBM InfoSphere Optim is 2.6%, up from 2.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database Development and Management
 

Featured Reviews

it_user489183 - PeerSpot reviewer
Scalability and the online maintainability of definitions are definite advantages for us
We've had it for so long, so it's status quo. But we've added all sorts of functionality to our applications and there are no issues with databases. Anything developers request, we're able to accomplish. Also, we deal a lot with government regulation - and not to talk about what the company does - but anything that they require of us, because we transmit data back and forth with them, we're able to do that with no problems. And there have been a lot of changes over the past five years that our government dictated regarding what we actually end up doing. So, we're able to be extremely flexible with that.
Kenneth Estanislao - PeerSpot reviewer
Backups become efficient while cost concerns remain
I am still working with IBM and we are transitioning to other tools rather than using IBM InfoSphere Optim. We use other tools, but I cannot recall the name because I am not the one currently handling it. It has transitioned to other architects. For IBM InfoSphere Optim, we are still currently using it, but we have transitioned to the newer version, the latest one with support for AWS S3. I cannot identify a main competitor for IBM InfoSphere Optim because we have transitioned to other architects, and they are the ones looking for other tools. The last comparison I did was almost 4 years ago. I am not using any AI technology with IBM InfoSphere Optim. I rate IBM InfoSphere Optim a seven out of ten. The tool is good, but the price is not favorable as it is the most expensive part. I can recommend IBM InfoSphere Optim for enterprises.

Quotes from Members

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

Pros

"It is a solid product."
"It definitely ​cuts down on our support costs. I do not get woken up in the middle of the night very often for a problem with Datacom."
"Nowadays, CA is doing a lot of improving as far as online maintainability of definitions, which is a huge improvement over the past. I'm able to do a lot of changes without any outage."
"Scalability is definitely one thing. The size of the database can grow without any issues. We've got one database table that's got over a billion rows in it; quite a bit of data, and it handles access like a champ."
"The initial setup is fairly straightforward for a mainframe product."
"I feel the solution to be a bit faster than the traditional methods, which makes it easy to customize."
"The compression feature is valuable because it achieves around 80% compression."
"We like that we can easily restore the database with just a few clicks. The database is linked as well."
 

Cons

"For the "no-outage maintainability" of things, they are making improvements as we speak, but there is definitely still room for more of that."
"The only minor issue that we have had with Datacom is in the installation guide: Some of the sizings for the databases have not really worked out for us, so we had to go in and resize them."
"The potential room for improvement for IBM InfoSphere Optim is usually its cost, as it is too expensive."
"While the solution is very supportive of Db2, it is not so friendly when it comes to IMS databases."
"We're looking for a solution that can be implemented on AWS. IBM InfoSphere Optim can be implemented on AWS, but it costs more than double what we're currently paying. So, it's not really of good value for us."
 

Pricing and Cost Advice

Information not available
"IBM InfoSphere Optim is a very expensive solution. Actually, it's the most expensive archiving solution that we have."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
26%
Insurance Company
10%
Computer Software Company
8%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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What needs improvement with IBM InfoSphere Optim?
The potential room for improvement for IBM InfoSphere Optim is usually its cost, as it is too expensive. Currently, there are no issues with IBM InfoSphere Optim; the only problem is the cost, whic...
What is your primary use case for IBM InfoSphere Optim?
My current use case for IBM InfoSphere Optim is just for doing backups. We are using IBM InfoSphere Optim specifically for backup purposes.
What advice do you have for others considering IBM InfoSphere Optim?
I am still working with IBM and we are transitioning to other tools rather than using IBM InfoSphere Optim. We use other tools, but I cannot recall the name because I am not the one currently handl...
 

Also Known As

DATACOM
IBM Optim, Optim
 

Overview

 

Sample Customers

Blue Hill Data Services Inc.
Durham Police Department, Coca-Cola Enterprises Inc., Continental, KCE Electronics Public Company Limited, The University of Adelaide, Migros Zurich, COPROB
Find out what your peers are saying about CA Datacom vs. IBM InfoSphere Optim and other solutions. Updated: June 2025.
857,028 professionals have used our research since 2012.