Informatica Intelligent Data Management Cloud

I am familiar with Informatica solutions, including Siebel  and have some experience with Collibra. We use Collibra for creating data products and for data governance, and it is straightforward without requiring extensive configuration. We can categorize policies into multiple categories, which is beneficial in Collibra, and we have multiple connectors to retrieve data from different sources. This is advantageous because we are taking data from Informatica, from other Oracle databases, and we also had a connector for Big Data, which includes NoSQL. I had the opportunity to work on Collibra for around six months, which allowed me to gather all this information.

My focus has shifted, as I am currently working on Stibo and Informatica most of the time. Informatica on-premises is an excellent tool, and I recently understood this because I did not get the opportunity to work extensively on the cloud version. However, whatever I have done on the cloud is now stable because it was not stable earlier. The new AI capabilities they have built for match and merge and getting data verified through multiple data sources are also excellent. Ultimately, I would say Informatica is still leading in the entire MDM  space with multiple different users.

Informatica Intelligent Data Management Cloud  emerged approximately four to four and a half years ago, but before that, it was exclusively Informatica on-premises, which I primarily worked on.

Migration was painful in the past, but nowadays it has been a seamless experience for data migration. There are a couple of challenges where older transformations, logics, and processes have to be replaced, and we have to complete all mappings entirely.

Although not at the moment where I was working, I have seen a couple of clients who really appreciate the match and merge assistance from AI, so those features are quite beneficial.

In real-time operations, I would say they are effective because we use APIs for that, and those are valuable things to have.

I would not characterize it as a drawback, but there are a few things which were good at that time but have now become stable. The older transformations that have degraded now have to be changed. I would not say it has to be something that needs to be updated or upgraded, but the bottom line is there needs to be updates for data migration and all that. Multiple companies, including my consulting service firm, have created accelerators for upgrading those things. Ultimately, I would say that it is still stable. If there is nothing to be updated or created, then our job would be done.

I would say it is mixed regarding self-service data preparation features for non-technical users, as it is a tool that has been around for a long time. There is a significant amount of information on the internet to help us out, including many KB articles. However, I would suggest to Informatica that there should be a different approach in providing KB articles and information. The information should be provided in a seamless way for the entire functions, not in bits and pieces across different places. For instance, if I need to create a data model, the entire process flow, including database objects, entity objects, business entities, entity views, and all that should be presented in that particular direction as a project situation, rather than scattered across plain sections.

Informatica on-premises is an excellent tool, and I recently understood this because I did not get the opportunity to work extensively on the cloud version. However, whatever I have done on the cloud is now stable because it was not stable earlier.

Technical support from Informatica is good. If there are any issues, Informatica acknowledges them, saying they recognize the particular problem. They do not gloss over it, but they confirm the issue and provide either a hotfix or explain the way you can temporarily address it so it will not be a problem.

I migrated as well, but there are a couple of clients who are still working on on-premises because that suits them perfectly for multiple reasons. They are able to control everything, and the active support differs because the cloud version has a different workflow system than on-premises. The way of storing the data in on-premises is based on the relational model, or the older way of working, which is relational data models and structured RDBMS . The cloud has taken a non-structured direction. Nowadays, data is not just in one single place but is coming from different sources.

Migration was painful in the past, but nowadays it has been a seamless experience for data migration. There are a couple of challenges where older transformations, logics, and processes have to be replaced, and we have to complete all mappings entirely.

I have not been involved in pricing, but I do know that pricing for Informatica is much higher than for any other MDM  tools.

There would be one of the clients in the near future who would be taking that metadata-driven approach, but not currently. For Informatica Intelligent Data Management Cloud  in general, as a product and service, I would rate it somewhere between seven to seven point five, particularly for the AI part because it is still new and still needs multiple refinements and efficiencies. My overall review rating for this solution is seven.

I cannot disclose use cases because that is something confidential we have. However, services-wise, I can say that Informatica Intelligent Data Management Cloud  has very good services for data governance, quality, and management and lineage.

Example-wise, I cannot disclose use cases, but it does help to understand how your data is. Having default values or something would help it grow.

Data quality and data governance are the features of Informatica Intelligent Data Management Cloud  that I have found most valuable. They are very good in those areas.

Data governance and lineage have a very good market these days, and Informatica Intelligent Data Management Cloud has a very good architecture setup where you can meet those criteria, which is why they are valuable.

Architecture-wise, everything has been improved. On all those areas, they are very good on the data governance side, the user interface is also very easy to manage, and the cloud infrastructure is also good.

I would like to have more AI capabilities. Looking at AI and the market AI currently has, AI capabilities will definitely help.

I have been working with Informatica Intelligent Data Management Cloud for almost four-plus years now.

The technical support is very nice. They have a severity system, so within a severity, if you reach out, they have a lot of good KB articles on their system. Within a short period of time, you get a solution, and you do not have to wait for much time. The SLA time is also good.

I would rate the technical support around 7 to 8, but ultimately I rate it 8.

I did not use a different solution for the same use cases before Informatica Intelligent Data Management Cloud.

I did participate in the initial setup process of Informatica Intelligent Data Management Cloud.

I have not seen any return on investment at the moment or any tangible benefits so far.

I am not sure about the pricing side of Informatica Intelligent Data Management Cloud. That is something a different team works on.

That is something different teams do. I did not evaluate other options or vendors before choosing this particular solution.

Informatica Intelligent Data Management Cloud's Boomi iPaaS  tool is very good. I have moved to data governance and data engineering. Currently, I have no access to Boomi , as that is a completely different kind of tool setup.

Data governance has been built with Informatica Intelligent Data Management Cloud. I am working with both data lineage and data governance for current products, and for data engineering, we are in the Microsoft Azure  ecosystem.

Informatica Intelligent Data Management Cloud has pretty good services to handle data governance, data lineage, and data management. That is the feedback I have regarding the multiple services of Data Management Cloud that I have worked on with one business unit which is data governance.

Data quality has improved after using the data quality tool. Getting an idea about the quality of your data definitely helps us out.

I am not sure what to say about the overall impact, but the only advantage I have of Informatica Intelligent Data Management Cloud on my infrastructure so far is what I have already mentioned.

My overall review rating for Informatica Intelligent Data Management Cloud is 8.

I am using Informatica Intelligent Data Management Cloud (IDMC)  as a consultant providing technical support for the platform.

I have been dealing with the product for approximately 20 years, starting with the PowerCenter  tools and then moving to the Data Quality  side. We used the on-premises Data Quality , the Enterprise Data Catalog, and Axon for the business metadata and glossary components, and we have migrated all of those on-premises solutions into the cloud solution.

Regarding IDMC's real-time data streaming capability, we do not use it for any sort of replication as we have other tools that do that, such as Qlik for replication. Those tools were already established, and the biggest driver for us is a catalog, glossary, and data quality—those are the three primary areas that are our biggest use at the moment.

My specialization in Informatica Intelligent Data Management Cloud (IDMC)  really focuses on the lineage side and the cataloging. I do a bit of development, but I am focusing on actually implementing the end-to-end lineage, creating the custom lineage, and creating custom resources.

We do utilize IDMC's data integration features, and we use the CAI component and have integrated it into other applications, such as Jira  and the Confluence  tool. Our company landscape is quite broad, so we have a lot of different technologies because as the company has grown over the years, we have acquired other companies with their own technology suites that we have had to integrate to, which presents challenges.

Regarding IDMC's data catalog, I am still fairly new to it, having used it for approximately the last month, so I am getting to grips with it. There were some features I thought were better on-premises, but it feels a catch-up game. What I do appreciate about the cloud is the transparent update cycles with minimal downtime, all managed within the cloud environment, which definitely provides a better user experience.

We have a huge footprint on the data quality side with IDMC. Many of our subsidiaries are using that, and it is becoming increasingly important with the AI component, understanding data quality before leveraging it for any AI initiative. Many business units are now mandated, as part of their key performance indicators, to ensure data quality on all sources.

I have not explored IDMC's automation capabilities driven by AI and metadata too much at the moment, but it is on the cards. We are basically creating the foundation, as the whole migration has taken place recently and it is still early days.

I think Informatica Intelligent Data Management Cloud (IDMC) is evolving, and as the vendors move forward, they pick up new concepts from each other. I have seen that products leapfrog each other, and from my experience over the years, the big players tend to copy features or add enhancements based on industry trends. I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team.

It is difficult to say what additional features I would prefer to see in the next release of IDMC. I would appreciate more automation on the lineage front, with more AI to seamlessly join independent sources and create seamless lineage between different technologies, such as from file into database A into a different database and landing up in a reporting system such as Cognos , Qlik, Qlik Sense , QlikView , or Power BI.

I rate the technical support for IDMC at an eight out of ten as any issues that we raise are dealt with fairly speedily.

We also have a support partner in South Africa that deals directly with Informatica. We log our calls with our support partner, who in turn logs it with Informatica, facilitating all of the interaction.

The interface of Informatica Intelligent Data Management Cloud (IDMC) is fine, and I appreciate the browser interface. There is no thick client needing constant upgrades, and I am enjoying the fact that the software is quite seamless to actually use.

Regarding the pricing of IDMC, that is not really in my domain as it is more at the management level.

I rate this product a seven out of ten overall.