IBM InfoSphere Optim vs. Informatica Data Archive (legacy)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM InfoSphere Optim
Score 4.0 out of 10
N/A
IBM InfoSphere® Optim™ solutions manage data from requirements to retirement, to improve governance across applications, databases and platforms by managing data properly, enabling organizations to support business goals with less risk.N/A
Informatica Data Archive (legacy)
Score 10.0 out of 10
N/A
Informatica Data Archive is used to control data growth in production databases and retire legacy applications. It is a legacy product and will not receive further updates.N/A
Pricing
IBM InfoSphere OptimInformatica Data Archive (legacy)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM InfoSphere OptimInformatica Data Archive (legacy)
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM InfoSphere OptimInformatica Data Archive (legacy)
Considered Both Products
IBM InfoSphere Optim

No answer on this topic

Informatica Data Archive (legacy)
Chose Informatica Data Archive (legacy)
[The] customer support is quite good. Cost also has another point to add, along with process integration and ease of using new tool.
Chose Informatica Data Archive (legacy)
My company currently uses Hadoop for big data management, as well as ParAccel/Matrix databases for storing the data. The combo is fairly effective, and the only reason we are exploring ILM is because of our use of other Informatica products, and looking to build in either …
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IBM InfoSphere OptimInformatica Data Archive (legacy)
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Microsoft Exchange
Microsoft Exchange
Score 8.7 out of 10
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User Ratings
IBM InfoSphere OptimInformatica Data Archive (legacy)
Likelihood to Recommend
8.0
(0 ratings)
9.9
(0 ratings)
User Testimonials
IBM InfoSphere OptimInformatica Data Archive (legacy)
Likelihood to Recommend
Optim is especially recommended for those companies that have their own or third-party development teams that must be provided with a complete data environment to test the applications. Optim is not recommended for use as an ETL or Data Integration tool.
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To manage users, go to the admin dashboard, here is a section for users. In this users section here you can see which users are configured and you have the ability to suspend a user. If you want to edit or add users, you need to go to the Organization section, then click on another user section there, which then gives you the ability to edit or add users.
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Pros
  • Easily extract data from production environments with no-coding
  • Intelligent filtering capabilities using physical or logical relationships.
  • Advanced data masking funtions
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  • It's not a major problem, but it's an example of one of many small annoyances.
  • Also, there is no proper documentation available
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Cons
  • Poor UI
  • Complex architecture
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  • No [suggestions for] improvement as such we amazed with the performance and the services
  • Standalone not integrated with power center
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Alternatives Considered
No answers on this topic
My company currently uses Hadoop for big data management, as well as ParAccel/Matrix databases for storing the data. The combo is fairly effective, and the only reason we are exploring ILM is because of our use of other Informatica products, and looking to build in either synergies between the technologies, or cost savings by bundling all our licensing through one vendor (Informatica)
Read full review
Return on Investment
  • Optim can save companies a lot of money by protecting the sensitive data found in their databases, thus avoiding the theft of real customer information with the economic and media impact that this has.
  • Accelerate the generation of non-productive environments saving time from human resources.
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  • Tracking the usage of specific brackets of data across the entire organisation has now become possible.
  • The team was already using PowerCenter. Therefore, using ILM was a very apt decision that allowed easier management of data at the organisation level.
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ScreenShots