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IBM InfoSphere Optim vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive Summary

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

IBM InfoSphere Optim
Average Rating
6.8
Reviews Sentiment
6.1
Number of Reviews
4
Ranking in other categories
Database Development and Management (16th)
Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
186
Ranking in other categories
Data Integration (4th), Data Quality (1st), Business Process Management (BPM) (9th), Business-to-Business Middleware (5th), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Mindshare comparison

While both are Database Development and Management Tools solutions, they serve different purposes. IBM InfoSphere Optim is designed for Database Development and Management and holds a mindshare of 2.5%, up 2.1% compared to last year.
Informatica Intelligent Data Management Cloud (IDMC), on the other hand, focuses on Data Management Platforms (DMP), holds 14.3% mindshare, up 13.1% since last year.
Database Development and Management Market Share Distribution
ProductMarket Share (%)
IBM InfoSphere Optim2.5%
SolarWinds Database Performance Analyzer9.3%
Quest Foglight for Databases7.6%
Other80.6%
Database Development and Management
Data Management Platforms (DMP) Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)14.3%
Palantir Foundry26.8%
Salesforce DMP9.2%
Other49.7%
Data Management Platforms (DMP)
 

Featured Reviews

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.
Saikat Ghosh - PeerSpot reviewer
Match and merge functionality is still the best but cloud version needs more functionality
There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM. The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.

Quotes from Members

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

Pros

"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."
"I feel the solution to be a bit faster than the traditional methods, which makes it easy to customize."
"I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset."
"One of the most valuable features is that I don't need to buy a subscription for any functionality. With Informatica Cloud Data Management, I have all the functionality and features available. If I need to make an integration, I can go to that integration service. If I need to mask, provide, or clean some information, I can easily just pick up that feature and use it. It's very simple, and I have all the functions and capabilities I need to work with data."
"The solution is easier to use compared to the other solutions."
"REST API: Excellent for scripting control and reporting mechanisms"
"Axon has something called Overlay, which can be used to extend the technical lineage."
"It's got a reputation in the industry as one of the best solutions for master data management. So, it's what we see in the Gartner top right quadrant as the best product in that space."
"The user interface which is very easy to use if we have any problems to solve."
"The most valuable feature is data discovery. This is the most exciting feature for all of the banks."
 

Cons

"The potential room for improvement for IBM InfoSphere Optim is usually its cost, as it is too expensive."
"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."
"In terms of what could be improved, they need to create a rules repository. Business rules for the attributes that you have, keeping them in that central repository, and governance of them is something which Axon is lacking a bit. The Informatica Data Quality tool actually caters to that, so that's probably why they have not built that up in the Axon, but it is definitely something that can be built in to this product, as well."
"The current features are a bit complicated, and we need to write big scripts and test."
"There's no direct way to connect to Amazon APIs from Informatica Cloud."
"Pre-sales technical support is much better than post-sales technical support."
"Connectivity could be improved, it can be a little slow."
"I would like to see support for more data sources."
"It is complicated to establish the lineage in EDC using PowerCenter mappings."
"Currently, there are limitations in processing and the interface."
 

Pricing and Cost Advice

"IBM InfoSphere Optim is a very expensive solution. Actually, it's the most expensive archiving solution that we have."
"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
"Informatica is very expensive."
"I have heard from customers that the product comes with a huge license cost."
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
"We got a 50% discount."
"The solution is very expensive."
"You can purchase licenses for this solution at different intervals. For example, annually or every three years. They recently changed their terms for licensing and now it is more flexible."
"We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry."
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Top Industries

By visitors reading reviews
Financial Services Firm
28%
Retailer
8%
Insurance Company
8%
Healthcare Company
7%
Financial Services Firm
16%
Computer Software Company
11%
Manufacturing Company
10%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business42
Midsize Enterprise24
Large Enterprise134
 

Questions from the Community

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...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What are the biggest benefits of using Informatica Cloud Data Integration?
When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
 

Also Known As

IBM Optim, Optim
ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
 

Overview

 

Sample Customers

Durham Police Department, Coca-Cola Enterprises Inc., Continental, KCE Electronics Public Company Limited, The University of Adelaide, Migros Zurich, COPROB
The Travel Company, Carbonite
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