We performed a comparison between Informatica MDM and Profisee based on real PeerSpot user reviews.
Find out in this report how the two Cloud Master Data Management (MDM) Solutions solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."We've used the solution for quite some time, so in our organization, the product is pretty mature."
"The solution's most valuable features are its data quality, match-merge engine, and CLAIRE AI engine, which helps with AI automation."
"The ability to aggregate and put together data from around fifty sources into one environment allows us to have a preview of everything in a single place, which is something we did not have previously in our company."
"The most valuable features of Informatica MDM are its reliability, match functions, and integration capabilities. The out-of-box functionality of deduplication and built-in data models ensure faster implementation."
"MDM is very stable - it can handle millions of hits daily and still run 24/7."
"Its data cleansing capabilities are very valuable. The match and merge and the audit trail functionalities are very good."
"The valuable feature is that we can automate the integration part...It is a stable solution."
"It gives you accountability to centralize your data and have it available to different applications."
"The product is able to utilize the SQL server toolkit and it has tight integration with the SQL server."
"We really like the matching and merging features."
"The process of categorizing data, creating glossaries, and generating metadata is streamlined and less time-consuming."
"The most valuable features for ensuring data accuracy and quality are mappings and creating business rules."
"Informatica MDM has limitations with connectivity."
"Informatica MDM could be improved by adding drag and drop options, business data insights, and visualization reporting."
"We cannot sell the product directly with an additional layer."
"Compared to other tools in the market, Informatica MDM is costly."
"If I compare it with other MDM solutions in the market, one thing that can definitely be improved is automation to help with the configuration. Currently, when we are creating any staging of base object tables, all the columns have to be configured manually in the Informatica Hub Console. A lot of tables and different kinds of business columns have to be configured manually. There should be an automated process for this, especially in the Dev environment. When people are creating tables and columns from scratch, if there is a backend automated process for that, it would be really helpful. In Stibo, a similar feature is there wherein you can tag attributes to certain objects. It would be helpful if Informatica also provides a similar option. It would reduce the manual effort. It could be that such a feature is already there, but I am not aware of it."
"The biggest pain point for us is the documentation. Typically, you have to go through knowledge forums and knowledge groups to find out about the syntax issues for interfacing with new products. Typically, you've got to deal with someone who has been through the pain before. Their documents are not really up to date with current innovations happening in the industry. As big as they are, you can't really expect it, but that's our pain point."
"The configurations could be better. It is a bit confusing because we must develop two tools when building a data model in Informatica MDM. Even though Informatica MDM is a single tool, we have our hub console plus the provisioning tool within that. Whatever data model we are building in the hub console, we have to develop it in the provisioning tool again. It is double the work to create a data model. We are also using external calls or the Java custom plans functions. This can be both positive and negative. Since MDM as a client does not support any complex validation, we have to depend on the external call or a Java call. Every time we deployed, the entire solution was impacted if something went wrong."
"Informatica MDM has a complex user interface, which could be improved."
"Profisee could improve in providing clearer data lineage information."
"When we updated to version 7.1, there were some workflow issues."
"A more convenient approach would involve integrating all the pre-existing elements into Profisee itself."
"The way training is laid out in their Profisee University, makes it really, really hard to find what you need fast."
Informatica MDM is ranked 1st in Cloud Master Data Management (MDM) Solutions with 44 reviews while Profisee is ranked 4th in Cloud Master Data Management (MDM) Solutions with 4 reviews. Informatica MDM is rated 8.0, while Profisee is rated 8.0. The top reviewer of Informatica MDM writes "Optimize business processes while ensuring that users see a return on their investment from the use of the product". On the other hand, the top reviewer of Profisee writes "Has an adaptive approach, a friendly UI, and good integration capabilities". Informatica MDM is most compared with Reltio Cloud, SAP Master Data Governance, TIBCO EBX, IBM InfoSphere MDM and Microsoft MDS, whereas Profisee is most compared with Microsoft MDS, Ataccama ONE Platform, Reltio Cloud, Semarchy xDM and SAP Master Data Governance. See our Informatica MDM vs. Profisee report.
See our list of best Cloud Master Data Management (MDM) Solutions vendors.
We monitor all Cloud Master Data Management (MDM) Solutions 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.
Hi @Richard Tibbetts,
There's no short answer to your question. Nearly all existing MDM solutions on the market offer a broad range of patterns to ingest master data from various sources and distribute cleanse and consolidated information, also to the Azure stack. Many vendors offer prebuilt connectors for the most common sources (databases, various file types, storages, business applications including MS Dynamics, Salesforce, etc.), but also support a generic way of ingesting/exposing data via Rest APIs, file drops, etc.
MS MDS is an extension of the MS SQL server 2016. I don't know Microsoft plans to extend it, but I know that Profisee and CluedIn are very active in promoting their solutions as-built having Azure in mind and being a part of the stack.
Informatica MDM has three types of offerings these days: on-prem, hosted MDM, and cloud-native option - they differ in the functionality and integration options.
Obviously, there are many more MDM tools on the market particularly good in various data domains (products, customers/suppliers - so yours, multi-domain, etc).
I think that you should start your MDM journey by answering which current challenges you try to solve or what new capabilities you need to enable to the organisation. Once these questions are answered and based on your organization's Enterprise Architecture principles, look for the best fitting tool. It may (or may not) be the one that fits the best into the Azure Reference Architecture.
I hope this helped.
It's probably worth to add the Microsoft promotes using CluedIn as MDM solution on Azure stack. Please have a look at the Microsoft documentation:
https://docs.microsoft.com/en-...
Last week Microsoft and CluedIn had a joined demo seesion. Perhaps you can ask for a link to a recording: https://www.linkedin.com/posts...
I agree with @InitZero...
I would add that there's no future roadmap for MDS and they don't have an Azure solution for it. Since it's a free product with an SQL license, don't expect Microsoft to invest in it.
Even though we are highly dependent upon it currently I'm starting to look towards the future where we need to find a replacement - hopefully, a PaaS solution. It would be great if Microsoft came out with something in Azure but I'm not hopeful at this point.