IBM InfoSphere Optim vs Informatica Data Archive comparison

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IBM Logo
849 views|296 comparisons
66% willing to recommend
Informatica Logo
353 views|202 comparisons
66% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM InfoSphere Optim and Informatica Data Archive based on real PeerSpot user reviews.

Find out in this report how the two Database Development and Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed IBM InfoSphere Optim vs. Informatica Data Archive Report (Updated: March 2024).
767,995 professionals have used our research since 2012.
Featured Review
Kenneth Estanislao
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"We like that we can easily restore the database with just a few clicks. The database is linked as well.""I feel the solution to be a bit faster than the traditional methods, which makes it easy to customize."

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"One of the most valuable features of Informatica Data Archive is its performance.""The most valuable features of Informatica Data Archive are ease of use, and the flows from one layer to the next are simple to understand."

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Cons
"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.""While the solution is very supportive of Db2, it is not so friendly when it comes to IMS databases."

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"Informatica Data Archive could improve by providing training. Training is one area where we lack, there are not very many trained resources in the market for sales, GPM, proposals, new offerings, or new features that are being added to this solution. It would be really helpful for consultants, like me, to understand the new, cool features these solutions are constantly adding. Training is something, that should be in place.""The recovery features could improve in Informatica Data Archive."

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Pricing and Cost Advice
  • "IBM InfoSphere Optim is a very expensive solution. Actually, it's the most expensive archiving solution that we have."
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  • "The price of Informatica Data Archive is reasonable. Different versions of the solution are available, such as the professional edition and enterprise edition."
  • More Informatica Data Archive Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:We like that we can easily restore the database with just a few clicks. The database is linked as well.
    Top Answer:IBM InfoSphere Optim is a very expensive solution. Actually, it's the most expensive archiving solution that we have. The cost is per license and per gigabytes.
    Top Answer:The cost needs to be reduced. It is a very expensive solution. 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… more »
    Top Answer:One of the most valuable features of Informatica Data Archive is its performance.
    Top Answer:The price of Informatica Data Archive is reasonable. Different versions of the solution are available, such as the professional edition and enterprise edition.
    Top Answer:Informatica Data Archive could improve by providing training. Training is one area where we lack, there are not very many trained resources in the market for sales, GPM, proposals, new offerings, or… more »
    Ranking
    Views
    849
    Comparisons
    296
    Reviews
    2
    Average Words per Review
    489
    Rating
    6.0
    Views
    353
    Comparisons
    202
    Reviews
    2
    Average Words per Review
    345
    Rating
    8.5
    Comparisons
    Also Known As
    IBM Optim, Optim
    Data Archive
    Learn More
    Overview
    IBM Optim solutions manage data from requirements to retirement. They boost performance, empower collaboration, and improve governance across applications, databases and platforms. By managing data properly over its lifetime, organisations are better equipped to support business goals with less risk.

    Retire legacy applications, manage data growth, improve application performance, and maintain compliance with structured archiving.

    Sample Customers
    Durham Police Department, Coca-Cola Enterprises Inc., Continental, KCE Electronics Public Company Limited, The University of Adelaide, Migros Zurich, COPROB
    Clopay
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm33%
    Insurance Company10%
    Computer Software Company8%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    Financial Services Firm28%
    Energy/Utilities Company9%
    Computer Software Company9%
    Insurance Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise7%
    Large Enterprise78%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise68%
    Buyer's Guide
    IBM InfoSphere Optim vs. Informatica Data Archive
    March 2024
    Find out what your peers are saying about IBM InfoSphere Optim vs. Informatica Data Archive and other solutions. Updated: March 2024.
    767,995 professionals have used our research since 2012.

    IBM InfoSphere Optim is ranked 17th in Database Development and Management with 3 reviews while Informatica Data Archive is ranked 18th in Database Development and Management with 2 reviews. IBM InfoSphere Optim is rated 6.6, while Informatica Data Archive is rated 8.6. The top reviewer of IBM InfoSphere Optim writes "Can easily restore the database, but the cost needs to be reduced". On the other hand, the top reviewer of Informatica Data Archive writes "Easy to understand layer flows, reliable, and excellent support". IBM InfoSphere Optim is most compared with Solix Enterprise Data Management, Informatica Persistent Data Masking and Oracle Enterprise Manager, whereas Informatica Data Archive is most compared with . See our IBM InfoSphere Optim vs. Informatica Data Archive report.

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    We monitor all Database Development and Management 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.