Informatica Intelligent Data Management Cloud (IDMC) Reviews

We primarily use the solution for tasks such as masking. It's used to mask the customer data.

We are using end-to-end features of Informatica. Everything comes under the product. We really like that the solution is part of a bigger use case that can all be under one umbrella system.

There are new features that are being built to help more closely link all of the solutions we use, and we like that they are always thinking about how each product interplays with the other.

We've used the solution for quite some time, so in our organization, the product is pretty mature.

There are lots of use cases surrounding the use of the product.

The integration could be a bit better. The process is something new. 

They need to include more documentation and support around the build.

It's my understanding that they are currently fixing quite a bit and building in updated capabilities in the upcoming version. We'll have to see what that looks like.

The general design of the resolution could simply be tweaked a bit.

I've been working with the solution for five or six years at this point. It's been quite a while.

We've worked on both the Windows and Linux platforms and have not had any issues with stability. It's been very good in both cases, and we have not faced any errors. There are no bugs and glitches. It doesn't crash.

We have 100 user licenses and we are using them in real-time. We work with an Indian bank that often requires more users. We can implement MDM to accommodate their needs at any given time.

I've worked with support from Oracle and a few other vendors, so I can compare it to those experiences. When I compare with other vendors, Informatica support is better, feedback-wise. Their documentation is great. They are very responsive to their customer base and very quick to respond to inquiries. We're very satisfied with their level of service.

I don't really have experience with other solutions. I only really know MDM.

The initial set up's complexity or simplicity depends on the requirements of the organization. Some have simpler implementation cases. Others are more complex. I would say for the simple to medium cases, the installation and deployment is very straightforward. 

When it comes to bigger builds, we need to be a bit careful in order to configure a few more settings to make it work properly. In general, the solution has simple to medium level complexity during the set up process.

The time for development usually takes a few days. It does depend on who is setting everything up. If you are well informed on the solution, the deployment process itself may only be a few hours. For a downtime point of view, you don't have too much time between products. Depending on when you do it, you can have 0% downtime as well, however, it would need to be strategically planned.

The solution has a couple of pricing models. You can go via can go a number of records, number of CPU, and various other items. I don't know what current model we follow. 

My experience on pricing is maybe four to five years old. I don't know what the current model is based on in our organization.

Although we're on version 10.3, we're working to move over to 10.4 soon. We're about to upgrade.

If you look at the Gartner quadrant, MDM is the top product. There are a few platforms available, however, I don't have good experience with other products in order to compare and to recommend. From my personal point of view, definitely I would recommend MDM.

I'd rate the solution seven out of ten. We're still testing a few capabilities that the solution provides, however, we aren't using them yet. We do plan to implement them in the future. Since we aren't extensively using the core features, I'm not giving them a higher score. We need to see how things progress.

At our company, we use Informatica MDM for data architecture and numerous other aspects of data warehouse, such as data designing or modeling. We recommend Informatica products to our customers based on their use cases, data volume, budget, and environment suitability.  

The product isn't mature enough to provide suitable connectors to various data engines. The performance of the solution in transporting data between data lakes and Big data infrastructure is not up to the mark. At our company, we use a similar solution called Spark, which is much better than Informatica MDM in terms of performance and speed. The data support capabilities of Informatica MDM can be improved. 

It's a stable product without any bugs or glitches. But overall Kafka is a better product than Informatica MDM. 

The product exhibits satisfying scalability. 

The tech support is satisfying from the vendor. The support team was able to respond and solve the issues in a very short time. I would rate the tech support an eight out of ten. 

Positive

Informatica MDM easily integrates with the Informatica environment as well as with third-party tools. But for some integrations, for instance, when Informatica MDM is integrated with SAP, the functionality slows down drastically; the task that would take five minutes with Spark takes five hours with Informatica MDM.

The same scenario occurs when Kafka is integrated with Informatica MDM. For popular database integrations such as Oracle and SQL, Informatica MDM functions well enough. 

The initial setup of the solution is straightforward. Our company professionals suggest that Informatica MDM should be on a Linux server instead of Windows. 

The product is very expensive compared to other competitor tools. Informatica MDM is not meant for small businesses but rather used by large enterprises like banks or government organizations. Informatica MDM can be purchased as a stand-alone product and doesn't come in an Informatica bundle. The support for Informatica MDM is not included in the standard licensing fees and must be purchased separately.  

I recommend that others test Informatica MDM with different integration tools before making a purchase decision. I also advise others to evaluate the use cases before choosing a product. Other popular competitor tools in the market include Collibra and SAP MDG. 

Informatica MDM fits our organization's use cases perfectly. When a customer of our company has a plethora of business products, VOCs need to be implemented, even if it's a different MDM solution than Informatica MDM.

Some customers depend on a single technology ERP, while others work with Oracle ERP or SAP, and sometimes they are using ERP and Informatica MDM in combination or migrating from one ERP to another. These use cases will impact the setup that already exists on the customer's site, and thus, the solution needs to be configured accordingly. I would rate Informatica MDM as eight out of ten. 

We use the solution for party data management. The tool ensures that the information is the same in every business system so that all the systems have the same view of what parties are involved in an agreement.

It is easy to create REST-based interfaces of the master data objects. It can be used for reading, creating, and modifying the master data objects of the parties, their addresses, and contact information. The creation and modification features always consider the data quality rules, and it is a very powerful way to provide a data interface to master data objects. It is missing in many other tools.

The solution meets the performance needs of my organization. There isn't much that Informatica doesn't do. The maintenance of the data quality rules has been improved. It’s a lot better than it was when we started. Replacing the old SOAP APIs with the new REST APIs is a great improvement. It’s still a work in progress. Some interfaces still use the old SOAP APIs.

The management of different properties is sometimes divided between different user interfaces. The tool should provide a unified user interface to manage the data objects.

I have been working with the tool for ten years.

The tool can scale according to our needs.

The initial setup was not difficult. We had very good support from Informatica’s professional services.

The team was a mix of in-house, vendor and other consultants.

The product has a high price point. However, it does not lack features. TIBCO EBX and Profisee are much cheaper. However, they lack features that Informatica MDM provides out of the box. Though the list price of Informatica MDM is high, it is negotiable.

I do not have experience with the new workflow engine. It is much more extensible because it is a full business process engine. Overall, I rate the product a nine out of ten.

I mainly use it for data management.

It's for tool management, maintaining the golden record of customer status.

Data integration should be improved. Another area of improvement is customer applications, along with business 365 application case integration between applications.

I have been using this solution for three years now. I work with the latest update.

I would rate the stability a six out of ten. There is room for improvement in the stability.

I would rate the scalability of the solution an eight out of ten. There are currently nine end users in my team. There might be more people in the company. 

Recently, Informatica MDM upgraded, it transitioned from its traditional on-premise MDM offerings to a cloud-based platform called Informatica Intelligent Cloud Services (IICS). So, we are not planning to expand its further usage.

The customer support and service are helpful. 

Neutral

I would rate my experience with the initial setup an eight out of ten, where one is difficult, and ten is easy. 

It is very easy to set up. However, the deployment time depends on the configuration. It can take 10 to 15 minutes.

The pricing is reasonable.

The users should have more training on Informatica MDM, especially practical training. The vendor should provide some practical training.

Overall, I would rate the solution an eight out of ten.

I use Informatica MDM to align data in my company.

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 feature I see in Informatica MDM stems from everything that touches the area of data governance.

I think everything related to the APIs and the manageability of the APIs in Informatica MDM are areas where improvements are required.

I have been using Informatica MDM for five years. I use the solution's latest version. I am a user of the solution.

Stability-wise, I rate the solution an eight out of ten.

Scalability-wise, I rate the solution an eight out of ten.

Around 250 users of the solution exist in my company.

There is a need to use the solution in my company at least three times a week.

I rate the technical support an eight out of ten.

Positive

I have experience with other solutions. I switched to Informatica MDM from other solutions since it offers better scalability options and interoperability.

I rate the product's initial setup a seven on a scale of one to ten, where one is a difficult setup process, and ten is an easy setup process.

My company has deployed Informatica MDM with the services offered by our cloud partner.

Informatica MDM's deployment phase takes around a year to be completed.

Two people, who are data engineers specialized in Informatica MDM, are required for the deployment phase of the product.

Informatica MDM's deployment phase was carried out with the help of my company's in-house team and Informatica's partner.

I rate Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price.

Ideally, only one person is required to take care of the maintenance part of the product, but with the number of terminals where the solution is deployed, there may be a need for three or four people.

I recommend the solution to those who plan to use it.

I rate the overall solution an eight out of ten.

We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization.

We have implemented both data profiling and data quality transformations for data validation. These are the two major components we rely on, with data profiling helping us understand the data's characteristics, and data quality transformations ensuring data validation.

Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling. Many other tools offer this feature, enabling them to suggest rules, which can be generated with just one or two clicks.

I have been working with it for almost seven years.

Once it was implemented, we din not encounter any stability issues. I would rate it nine out of ten.

The scalability of the solution depends heavily on the design approach. Regardless of the tool used, the effectiveness of the data quality framework hinges on proper design. If the framework is not well-designed, it may not deliver the desired results. I would rate it eight out of ten.

We receive excellent support on a priority basis. I would rate it nine out of ten.

Positive

I would rate the installation and configuration process as moderately complex.

If it has been implemented effectively, I would say it is the best solution. When considering the use of the data governance package, combining Axon ADC and Informatica Data Quality together provides a comprehensive approach. I would rate it eight out of ten.

We use Axon for controlled and governed data sharing as well as for the policies and principles from a data governance perspective. Our use case was for an airport company and we used Axon in tandem with Datacat Log EDC. We customize data search and data sharing. We have a partnership with Informatica. 

The management of the policy is very useful. The ability to customize data search and data sharing is useful. The solution has all the necessary features. 

The GUI needs to be a little more user-friendly and appealing. Salesforce, for example, although in a different category, is very user-friendly and I think if they were to include some of the Salesforce principles, it would be helpful. Informatica needs to do a better job in terms of educating users. 

I've been using this solution for three years. 

The solution is stable and dependable as long as we keep an eye on the servers. 

The solution is scalable. 

The support process needs to be more agile. 

The initial setup took a few days. It wasn't very complex but there were some initial challenges because we were trying to setup the Informatica Data catalog, EDC, at the same time. The deployment was reasonable but not very smooth. We have around 300 users.

Licensing costs are generally on the higher side.

Collibra was a solution we evaluated but Informatica was the final choice.

I rate this solution seven out of 10.

Axon is a tool for data governance that lets you define personas of people who can define policy and implement those policies and have a check on them. So it's part of a data governance solution.

It is a very good tool. So there is Informatica Axon, Informatica EDC, and Informatica Data Quality, which are the best solutions in the market for data governance. Many customers prefer the solution.

All the functionalities of the solution that are currently available on the on-prem version should be made available on the cloud. The on-prem version's functionalities may not be available on the cloud version. So, Informatica is working on it, and it may take some time. In short, adopting the functionalities of the solution's on-prem version could be faster in the cloud.

I work with an SI company, and my company is also a cyber-security value-added distributor. I have been selling Informatica products, including Axon, for years.

It is a very stable solution. I rate its stability a ten out of ten.

It is a scalable solution. I have six to seven customers using the solution.

Informatica Axon's technical support is good. So, like all the US companies, the support ticket moves from one support team to another.

The initial setup process depends on the complexity of the customers' requirements. So, it can be simple or complex. Usually, data governance projects are a minimum of six to eight months.

Regarding the deployment process, the first step is to conduct a discovery session to understand the customers' problems. This involves identifying the stakeholders involved in the data governance process, determining who owns the data, and identifying the layers of governance that need to be implemented at various levels, including the persona and solution levels.

Two to three people, including a data analyst, a data engineer, and a data quality or data assurance person, are required to deploy and maintain the solution.

A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap.

It's a very good solution. And for any customer embarking on our data governance journey, Axon is the right tool to choose, along with ECD and Data Quality. I rate the overall solution a ten out of ten.