Informatica Intelligent Data Management Cloud (IDMC) Reviews

In the past, people used Informatica MDM because it was one of the leading tools at that point in time to work on an on-premises model. It was the leading tool in the market, offering vast customization options and matching and merging options that were better compared to other solutions. The way the data lineage or the customization options it gave, the tool was good. Now, the tool has a changed dynamic, and it is currently available on the cloud. Apart from Informatica MDM, there are other tools, as well as the market, that are completely on the cloud.

The feature of the product that has been most helpful in improving data quality revolves around Informatica DQ or IDQ, which is one of the tools Informatica offers. IDQ helps cater to the scoring of the data, clean up the data, and integrate it.

In terms of the room for improvement required in the product, I would say that the product is still in the maturing phase, specifically on the cloud. The product is not too user-friendly to do the configurations. There are a couple of areas in the product where I feel improvements can be made, but if I consider the algorithms used in the match process, the tool is very robust.

I have been using Informatica MDM for nine to ten years. My company is a partner of Informatica, and we also implement the tool.

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

In terms of scalability, I would say that the product is currently more available in the cloud. Scalability-wise, I rate the solution a five out of ten. The scalability on the cloud is good. On the cloud, by default, the tool becomes quite scalable.

Informatica provides premium products. The product is mainly meant for enterprise-level customers because the tool is available at the premium cost.

I have not used the technical support provided by the product. If you asked me about the support offered for the tool's on-premises model, I would say they were really good. We really liked Informatica's support. With the cloud, I'm not aware of the support.

If one is a difficult setup and ten is easy, I rate the product's initial setup phase as a five.

If you are talking about the product on the cloud, the initial configuration must be done. There is quite a lot of refresh which takes place every time we have to publish something, and then we have to wait for some time. It is not that you make a change, but you can see it immediately in the tool. The wait period is quite long. If you are a first timer, it takes time for that person to figure out the product. Once you get the hang of it, then it becomes easy.

An end-to-end implementation would take nine to ten months, or maybe a little more than that, depending upon the customer's desired features.

The tool does give a good ROI.

The product is not very pocket-friendly for small and medium-sized businesses, and it is understandable because of the kind of features the tool gives.

On a scale of one to ten, if one is a cheap solution and ten is an expensive one, I rate the tool's price as seven.

Informatica MDM is able to handle complex data integration scenarios with the help of IDCM, which offers the power of an ETL tool.

Speaking about the AI part, I feel the product is still in the maturing phase.

My first preference would be for Welkio, and only after that would I prefer Informatica MDM, so I would say that it won't be my first choice.

I rate the tool a seven out of ten.

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.

A wide range of solutions exist because data is primary, and my company looks over many overall data management solutions, from which Informatica Data Quality becomes one of our biggest priorities.

I cannot just go into details of the product's features randomly because if you look at a very wide range of overall requirements, be it Informatica or Talend or more data lake solutions like Snowflake. My company goes through an entire range of areas, making it difficult for me to just speak about the features.

Accuracy is one of the key areas a client looks at before using a solution. Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria. The aforementioned area can be considered for improvement in the solution.

I have been a consultant for Informatica Data Quality for two years in my company. I don't directly use the solution.

From a stability point of view, I haven't heard of any complaints about the solution from any of my company's clients who use it.

I don't go into the technical side of Informatica Data Quality much since I mostly work on the procurement side and market knowledge area related to the product. Scalability remains one of the requirements of the clients who buy the product, especially for future growth. My company caters to a mixture of clients, consisting of small, medium, and enterprise-sized businesses.

I do not go into the complete deployment areas of Informatica Data Quality.

The solution is deployed on a hybrid cloud.

Informatica Data Quality is a product that is worth the money.

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.

I do look at a number of data quality tools, but Informatica, Talend, and Ataccama are a few of the top solutions I have come across.

My company deals with Informatica Data Quality since Informatica is a big vendor in the overall data management area.

I won't be able to speak on how I can recommend the solution to others since my suggestions will have to be based on the product's features and technical details. I wouldn't be able to point out anything about the product in detail, especially since I am not much of an end user.

Based on the feedback that I have received about the product from my company's customers, I rate the overall product a seven or eight out of ten.

My company does not specifically focus on selling the solution to a particular sector. My company generally sells the solution to various sectors, including manufacturing and finance.

Informatica Enterprise Data Catalog is a compact tool. Many products operate as a data system solution or as a data catalog tool. The product is helpful when it comes to data transformation. If you would like to solve specific data-related problems, Informatica Enterprise Data Catalog can serve as a useful product.

I cannot specifically point out an area in Informatica Enterprise Data Catalog that needs improvement since it properly functions as a data catalog tool. You cannot use something like Atlas to get catalog ranges, making Informatica Enterprise Data Catalog a comparatively powerful tool. The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future.

If I want to get some extra features in the product, I can contact Informatica's research and development team, who can add some new features to the product and make the tool available in the market.

I have been using Informatica Enterprise Data Catalog for more than ten years. My company has a partnership with Informatica.

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

Though there are some bugs in the solution, Informatica's research and development team, along with Informatica's customer service team, supports my company in solving such bug-related issues.

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

Informatica Enterprise Data Catalog can be a good solution that is really easy to use when it comes to enterprise-sized companies, but it may pose some challenges for small and medium-sized companies.

Most companies to whom my company provides the solution are enterprise-sized businesses.

I rate the technical support a ten out of ten. My company has a partnership with Informatica, and we provide Informatica's products to the end users or customers. Informatica has to provide my company with good support in order to hold on to its customers who deal with my company.

Positive

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

Most of the companies to whom my company provides the solution deploy it on an on-premises model. My company also sells the cloud version of the solution while also offering our customers the option to move from on-premises to the cloud version of the solution.

My wife runs a pharmacy, and she uses an ERP solution for sales-related activities, the data of which I can move to the cloud in ten minutes if she chooses Informatica Enterprise Data Catalog.

With Informatica Enterprise Data Catalog, measuring the return on investment can be hard. I rate the return on investment a seven on a scale of one to ten, where one is zero return on investment, and ten is a hundred percent return on investment.

The price of the product is something that may vary from customer to customer. I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive.

If a customer or business wants to easily maintain their data domains, they can opt for Informatica Enterprise Data Catalog.

I rate the overall product an eight to nine out of ten.

The most valuable features of Informatica MDM are the IDQ and RDM data management. PowerCenter is the most widely used feature of Informatica MDM.

Informatica MDM has a complex user interface, which could be improved.

I have been using Informatica MDM for four years.

I rate Informatica MDM an eight out of ten for stability.

I rate Informatica MDM a ten out of ten for scalability. We plan to increase the usage of the solution in the future.

I rate Informatica MDM a four or five out of ten for ease of initial setup.

Our organization's deployment process for Informatica MDM took two to three months. A third-party team did the solution's deployment. Around 10 to 12 IT specialists and engineers were required for the solution's deployment.

Informatica MDM's pricing is not cheap but comparable to other vendors.

I advise others looking into using Informatica MDM in the future to have their use cases in order and know what they want to use it for.

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

I am a consultant and I use the solution to scan databases and lineages for my clients.

We can scan anything. We can scan reports, XML and JSON files also. That's a good thing about the Informatica Enterprise Data Catalog.

IEDC can improve the comparison of lineages, which is one thing I see in other data catalog tools that Informatica does not have, basically data catalog tools.

I have been using Informatica Enterprise Data Catalog for three years.

I rate the stability of the solution an eight out of ten.

I rate the scalability an eight out of ten. We currently have ten to 15 users using the solution and our client is a medium-sized business.

I rate the initial setup a seven out of ten, because it is pretty straightforward. The solution took two to three days for the initial setup.

When deploying IEDC, one should have a server ready and a lot of open ports, but otherwise it is straightforward.

I rate the solution an eight out of ten.

We use Informatica MDM for master data maintenance across our organization. We have multiple departments, like material real estate, trading, and supply. We use it for consolidation, harmonization, and central master data maintenance. We are also integrating it with the nonrecipient systems.

I like that Informatica MDM has robust matching technology. Informatica MDM is also porting the external Java applications for validations. I can consider that a must-have. It is also exposed to Rest API calls, and we can engage in real-time integrations with any third-party systems.

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. 

I have been using Informatica MDM for four years.

Informatica MDM can be more stable. There are some issues and some crashes, and sometimes, with the data load, we usually feel like we are doing an initial data load for any project. Sometimes, it could also be down to the production environment.

On a scale from one to ten, I would give stability a six.

Informatica MDM is a scalable solution. We probably have 1000 direct and indirect users with multiple use cases. But people solely working with Informatica MDM might be around 200 or 300. Most users are from business IT data support.

On a scale from one to ten, I would give scalability an eight.

Technical support is very responsive.

Positive

I was using SAP MDM, which is currently end of its life, so we migrated from SAP MDM to Informatica MDM.

The initial setup is straightforward. We have to make a jar file which we have to download from the link and download it as a client in our local mission. However, there are some challenges if we deploy Informatica MDM with IDQ on-premises. The deployment time depends on the use case. One or two people can maintain this solution.

We have seen a return on investment. From a business perspective, there have been many improvements since we migrated from SAP MDM.

I would recommend Informatica MDM to potential users. Even though Informatica MDM does not come with data quality, Informatica as a whole has some of the right tools. We have embedded the MDM with the IDQ informatic data quality in ways we can interact. It is the best fit for non-SAP systems.

On a scale from one to ten, I would give Informatica MDM an eight.

The primary use case of this solution is to extract technical metadata, tag the data dictionary, and profiling. We also use it for lineage and relationship aspects.

I recommend Informatica to my clients based in the finance and banking sectors. It has been very helpful.

The most valuable feature is its ability to extract metadata from various sources- be it an old SaaS application or the latest cloud application. They have a custom resource that allows us to customize no matter which source system we have, and we can customize it to extract the technical metadata.

They are moving from on-premises to the cloud. I expect all the on-premises features in the cloud version as well.

I have been using the product since 2019.

It is a perfectly stable solution and a leader in data governance tools in the current market.

The scalability is tough. For example, if you want to increase the scalability in the middle of the project, it would be a challenging process, but it is doable. As consultants, we analyze the requirements from the client end and, based on that, suggest the infrastructure for scalability.

Customer service is a piece of cake if you are a premium member. You need to raise a ticket, and they will immediately respond. For example, they will let you know if it is a limitation; if it is a bug, they will provide you with emergency bug fixes.

Positive

The initial setup is easy. If we compare version 10.4 and version 10.5, they had a major architectural change in terms of infrastructure. The setup for version 10.5 became easier.

The deployment was straightforward, and it took 10-15 minutes to deploy the solution, including migrating technical metadata (importing and exporting).

I would recommend that rather than implementing it on a complete whole enterprise project, start with some small system or a small project first. And from there on, you can move on one step at a time.

I would rate the product an eight out of ten.