Informatica Intelligent Data Management Cloud (IDMC) Reviews

The use cases attached to Informatica MDM may vary for different industries. Suppose I talk about industries related to healthcare and life sciences. In the aforementioned scenario related to healthcare and life sciences, there have been situations where a lot of sales representatives have issues while trying to set up calls with different physicians. Informatica or any MDM solution usually helps people in the healthcare industry optimize their business processes, especially when setting up calls with different physicians. Typically, Informatica MDM helps to reduce the number of duplicate details related to a physician or the data related to a particular organization data so that the sales representatives don't end up sending duplicate call invites to the same physician, especially those physicians who have probably different versions of their own name.

I think the integration feature is probably one of the key features in Informatica MDM. When compared to other Indian products, Informatica MDM has an edge due to its integration capabilities.

I don't see any area of improvement required when it comes to Informatica MDM since it is one of the leading products in the market. Some unification in Informatica MDM's UI side would probably make it better. I find Reltio more intuitive when compared to Informatica MDM's UI. Informatica MDM's UI is not intuitive enough. Informatica MDM's UI can be made a bit more intuitive.

I think all the latest up-to-date features are made available in Informatica solution. When it comes to Informatica MDM, all the features are mostly included, because of which there is nothing that needs to be added.

The long response time taken by the technical team of Informatica can be considered for improvement.

I have experience with Informatica MDM. I currently work for a company that has an alliance partnership with Informatica. I use Informatica to develop MDM solutions for my company's clients. I work as a solution provider since my company wants its employees to work as middlemen for Informatica products. In my company, we use Informatica to build solutions for clients. I use the latest version of Informatica MDM.

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

It is a highly scalable solution. Scalability-wise, I rate the solution a nine out of ten.

If it is for a single region deployment, the number of users who use the solution can vary somewhere between ten to fifteen, but if it is for a global deployment, then there could be hundreds of users who would use the solution.

The solution is used on a daily basis in my organization.

If there is a super high-priority issue, then the technical team of Informatica is super responsive. However, if it is a low-priority issue, they usually take a little longer than their usual response time. I rate the technical support an eight out of ten.

Positive

When it comes to Informatica MDM, it is mostly a cloud or SaaS-based product, because of which the configuration or setup phases may not pose a challenge. Most of the MDM solutions are now SaaS-based products that the product vendor maintains, and so such products are mostly accessed through web URLs over the cloud. Right now, any configuration or setup is not challenging, which used to be the case several years ago when these solutions were deployed on an on-premises model, because of which installation and other such procedures were required. Currently, most products are SaaS-based solutions, so there are no such challenges with respect to setup.

I rate the initial setup phase of Informatica MDM as a nine on a scale of one to ten, where one is difficult, and ten is easy.

Predominantly, Informatica MDM gets deployed on a public cloud. There is a provision to go ahead with if any of our company's clients want the product to be deployed on a private cloud, but it comes at a very high cost.

The time taken for the end-to-end deployment process depends on the complexity of the project that you are working on, but if I have to give you a standard answer, it would be approximately six months to start from scratch until production goes live.

Considering the members from the production and UAT departments, the UAT department dealt with the product for three weeks, and the overall deployment process took place over a month to a month and a half. Around eight staff members were required for the deployment process, including an Informatica developer responsible for configurations, a lead developer, two people for integration, a project manager, and one solution architect.

One of the in-house teams in my company carried out the deployment process.

I would say that the return on investment from the use of the solution is fairly good.

I rate the product's ROI a nine on a scale of one to ten, where one is zero percent return on investment, and ten is one hundred percent return on investment.

I rate the product's pricing a nine on a scale of one to ten, where one is low price, and ten is high price. The product does come at a certain cost since it is one of the best products in the market. The payments for the solution are made on a subscription-based model, meaning it is a pay-as-you-go model. In general, the costs attached to the solution depend on its usage.

The costs, in addition to the standard licensing fees for the solution, depend on users' requirements.

The people required for the maintenance of Informatica MDM depend upon the requirements of the clients who use the product.

I would say that a team of five people that includes a solution architect who operates in a partial capacity would be good enough to take care of Informatica MDM's maintenance phase.

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

I rate the overall product a nine out of ten.

We used the solution for data storage, and data cleaning to improve data quality. The solution also served as a data lake for reporting purposes.

The solution has made it easier for us to retrieve and maintain the data as well as saves us time.

The ability to clean out data and improve the data quality is the best feature.

The solution is user-friendly and easy to navigate.

The cost of Informatica MDM is expensive and has room for improvement. Although the solution is good, it is not worth the high cost.

I have been using the solution for five months.

I give the stability a ten out of ten.

I give the scalability a ten out of ten.

We had ten people using the solution in our organization.

We previously used EXAScaler and switched because we were moving to the cloud.

I give the initial setup a nine out of ten. The deployment took us one month. We prepared the environment and the deployment was completed by the Informatica engineer.

The implementation was completed by an Informatica engineer.

The solution is very expensive. I give the cost a three out of ten.

I give the solution an eight out of ten.

The solution is good and I recommend it as long as the pricing fits the organization's budget.

We are using Informatica Cloud Data Integration in a large organization, and we have customers all across the world. 

Informatica Cloud Data Integration is for migrating data from a source to a target. The major advantage of working with this solution is that it can handle large amounts of data. The drawback is the performance is a bit slow but it can handle a large amount of data compared to other tools.

The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server.

Informatica Cloud Data Integration can improve by being more user-friendly. When you're working with the solution a lot of technical knowledge is required. It's not a solution that anyone can use properly, you need knowledge of what's happening at the back end, such as SQL. When you get stuck, you need to look into your logic. For other tools, such as Dell Boomi, anyone can use them.

In a future release, the UI should be more developed to allow more features.

I have been using Informatica Cloud Data Integration for approximately four months.

Informatica Cloud Data Integration is stable. 

I rate the stability of Informatica Cloud Data Integration a four out of five.

There are some performance issues sometimes.

We have more than 50 developers using the solution in my company.

I rate the scalability of Informatica Cloud Data Integration a three out of five.

The support from Informatica Cloud Data Integration is great. They respond quickly and if there is an issue it can be resolved fast.

I rate the support from Informatica Cloud Data Integration a four out of five.

Positive

Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality.

There can be extra changes, such as using the cloud.

I rate the price of Informatica Cloud Data Integration a two out of five.

This is a good tool and others should use it. This solution is known for its ability to handle large amounts of data and in the market, there are not that many tools available. However, there are competitors in the market, such as Oracle and IBM.

If an organization's data is very limited and they are not using large amounts of data, then I would suggest going for a smaller targeting solution, such as Dell Boomi. When it comes to large and secure data, I would recommend others to use this solution or SAP BODS or IBM.

Informatica Cloud Data Integration has a nice GDP rating and a good European market.

I rate Informatica Cloud Data Integration a seven out of ten.

I'm a senior architect and we are partners with Informatica. 

The solution offers good data governance.

I've found that whatever functionalities are available on-prem, can become a bit of a challenge sometimes in the cloud. There are no simple rules for customization so they need to be applied which is a challenge on the cloud side.

I've been using this solution for four years. 

Informatica stability is great. Even now, Purview has evolved a lot, but we haven't used it to the same extent. 

The solution is scalable. 

We are partnered with Informatica, so we don't have an issue with technical support. 

Positive

Our preference is Purview when we're asked for a cloud solution because it's a cloud native and the same applies when taking cost into account. Deployment is easier with Purview. If an organization is going for a hybrid solution and there's a lot of governance and complex rules involved, my first choice is Informatica. If that's not the case then I go for Purview.

Without experience, it may be somewhat difficult but I don't find it particularly complex because there's a lot of training and documentation available. We've already had a lot of experience so it's a piece of cake for us. 

Licensing costs are not fixed and I know that Informatica offers discounted prices to certain customers. Microsoft is cheaper.

The solution is suitable for enterprise or mid-size organizations. But if there are customer-related or different domain issues and it has some kind of regulatory impact and a lot of external agencies come into the picture, then it's always good to go with the Informatica Axon.

I rate this solution eight out of 10. 

We use Informatica Cloud Data Integration to migrate to the cloud, upgrade our data warehouse, and implement master data management. It helps us with in-depth analysis, leveraging shared history, and addressing data governance questions.

The most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services. It excels in mapping development, searching for contracts in data governance, creating data quality rules, and designing merging processes. The ability to identify duplicates and automate analysis coverage is particularly beneficial. Additionally, the cost-effective option of using Informatica Cloud Data Integration for smaller projects or departments has made it more accessible and attractive for experimentation.

One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities. For example, for master data management, having additional accelerators could streamline implementation. Additionally, enhancing compatibility with metadata sharing across different applications, similar to what is achievable with PowerCenter, would further enhance the product's capabilities.

I would like to see more connectors for on-premise databases in the next version of Informatica Cloud Data Integration. Currently, CDI free is a great option for cloud integration, but expanding the connectors to include databases like Oracle or MySQL for on-premise environments would make the tool more versatile and accessible for smaller businesses or those not fully in the cloud.

I have been working with Informatica Cloud Data Integration since 2016.

Informatica Cloud Data Integration has been generally stable, with occasional editor issues. However, SLAs are consistently respected, and we typically experience minimal downtime, averaging around two to three hours per month.

The scalability of Informatica Cloud Data Integration is high. With advanced pushdown optimization, it performs well in various environments like Snowflake and AWS. It is suitable for companies of all sizes; for small to medium enterprises, starting with fewer IPUs is cost-effective, and scalability allows for growth as needed.

I would rate Informatica's vendor support as a seven out of ten. It is generally good, but there is room for improvement, especially as they shift focus from on-premise to the cloud. We often find answers in the community for software issues, but sometimes we encounter challenges that require official support tickets.

Neutral

The initial setup for Informatica Data Integration is straightforward. Deployment is simple, involving exporting and importing development processes. The ability to pilot the Informatica Data Integration platform from various APIs makes continuous integration and deployment easy to manage through API calls.

I would rate Informatica's pricing as an eight out of ten in terms of affordability. Starting with a small IPU volume is cost-effective, and as we grow, the pricing adjusts favorably based on consumption, which makes it reasonable for our needs.

I would rate Informatica Cloud Data Integration overall as an eight out of ten. It is a comprehensive platform covering data integration, API integration, data quality, data governance, master data, and privacy tools—all within one platform. The accessibility to all functionalities with the purchase of IPUs is a significant advantage compared to the past where certain features required additional payments and permissions.

We use Informatica MDM to enable the master data for getting the customer's product 360.

Informatica MDM has data quality, mastering the data's capability.

Inserting the GenAI into the master data management will reduce the overall effort of operational activities.

I have been using Informatica MDM for five to six years.

Informatica MDM is quite a stable solution. I rate Informatica MDM a nine out of ten for stability.

Informatica MDM is quite a scalable solution. Most of our clients for Informatica MDM are enterprise businesses.

Usually, it takes six to eight months to deploy Informatica MDM.

Master Data Management is always only 20% implementation; the remaining 80% defines all other components. So, if users have the right process, the tool will do its job. The tool will do whatever we give input for.

Informatica MDM is quite a good product in terms of mastering all the data and ensuring that we will be able to get a 360 degree of the master data.

Overall, I rate Informatica MDM a nine out of ten.

We are using it for multiple purposes, such as real-time data integration and data migration. It allows seamless integration of various cloud-based applications and services.

The solution provides increased efficiency while still being user-friendly and easy to operate. It includes built-in features that ensure data consistency and accuracy, resulting in excellent data quality. 

It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality. It would ensure improved decision-making processes and better insights. 

I have been using this solution for three to four years.

Our experience with the stability has been quite good. I would rate it nine out of ten.

The solution's scalability is one of its key aspects. It facilitates the scaling of data integration capabilities based on customer's needs. 

The deployment process depends on the client's requests. If it requires complex tools and features, the process will take longer. But for normal operations, it is really easy and not very time-consuming.

I have been very satisfied with the feedback I was getting with Informatica Cloud Data Integration. Its automated performance enables the processing and integration of large volumes of data quickly and efficiently. I would rate this solution nine out of ten. 

The primary use case is for data governance, data quality, data lineages, and data cataloging.

It is used by an internal team for data discovery. However, we are not able to provide business area-level access to other users because of data security.

It's a good product, and the features for data quality, data cataloging, and UI are excellent. It has a lot of advantages.

The major points of improvement are stability, integration, and permission to sub-folders or categories of data. If you want to provide access to a particular type of data discovery to a team, it exposes a lot of data points which in turn makes Axon not that useful for them.

Permissions, scalability, and connection with other informatic tools are the main areas that need development. Integration with other tools, such as IDQ, is challenging. The management of data discovery is highly challenging because many data points have identical definitions.

Mostly, this will come under the data security permission level or admin access.

I have been using Axon for a year, but I have been using other solutions from Informatica for five years now. 

I currently use the latest version of Axon.

I would rate the stability a three or four out of ten. It's not loading at all and it keeps on getting down.

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

We developed something on IDQ on the data quality side. If there is a huge data or a big workload, it takes a lot of time to run and we don't get the result in Axon. 

There are around 10 to 15 end users using Axon in our organization. 

There is a different team for platform maintenance, management, and deployment. There are around ten people on the team. It's a mix of engineers and developers.

The platform team had some difficulties with admin-level things and keeping Axon up all the time because it's on-premises. 

The solution is expensive.

Not on the governance, but I have used Databricks, Azure Synapse, Oracle, and other services by Azure.

Databricks is my personal favorite because of the scalability and the runtime it takes to load a large amount of data from a data engineering and data science perspective. 

I'll probably look for another solution because it has stability issues. When it's needed, it's usually unavailable.

However, it is a good product the way it's designed. It's a very good product, and it has a lot of features that are required for data governance. It moved all the Excel work to our web page, which can be accessible to everyone. It's a good product, but it needs some improvement.

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