Informatica Intelligent Data Management Cloud (IDMC) Reviews

It is used for our SharePoint data, and it is used for our financial data, so we prepare some kind of data lakes about data. And for a lot of financial things. For example, when somebody has to put the user, like, what we have in your organization. You have a user, and some joint venture partners are there. So, we use it for multiple financial master data. Basically, financial master data, we use it.

We are basically partners, IT partners because a lot of data is being used in multiple applications for Informatica. So, basically, we have partners. It's like Shell. So, it's an end user, but as well as a partner.

It's helpful in integration, and it can be moved around in SharePoint.  So, from the SharePoint View, data integration and reporting, it help a lot in that way.

The speed with which the data should be moved could be improved because of the firewall. It's becoming quite slow. And the integration with Teams or with Microsoft is not so smooth. So these are the areas of improvement. 

So, probably, they might even look for some upgrades or some changes over there. But these are the two key areas that we are facing issues with. One is the data moves a bit slow, and the integration within Microsoft products.

Maintenance is another issue that takes a lot of time and money. It can be a challenge in the long term.

I have been using this solution for six to seven years. 

It is stable, I would rate the stability a nine out of ten. 

I would rate the scalability a seven out of ten. Because of the maintenance issue, we want to scale it up, but we're not able to do so because of the maintenance issue and delayed response.

It breaks down quite often, and it takes time and money to get the issue fixed. These are challenges that need to be addressed from a global perspective, not just from my process.

The support from IBM might not be good, or the IBM people might have to contact Informatica for the solution. That could be a reason. But the resolution takes longer than expected.

There is room for improvement in the support. The response time could be faster. 

It is easy to install because our laptops come pre-configured. There were no issues. However, it is not easy to maintain. 

We have a team that IBM handles for maintenance work. If there are issues, we raise a ticket, and they get sorted out, but it takes too long. It is not quick enough. The resolution takes more time than expected. 

We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics. This aligns with our company's initiative to implement a data lake strategy and drive digital transformation.

Overall, I would rate the solution a seven out of ten. 

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.

It improves the workflow.

In terms of the user experience, it's very Integrated, and the implementation is very fast. You can integrate the platforms for different services to deliver all the banking needs.

It is expensive.

I have been using Informatica Cloud Data Integration for two years.

I rate the solution’s stability a ten out of ten.

The scalability is impressive. Implementing something is easy, and there's no need to wait for licenses or other potential roadblocks. It is a highly efficient and smooth process, which makes it even more appealing.

The main reason for the switch was the cost. IBM solutions are quite expensive, and migrating to the cloud platform is complicated. Another significant expense comes from the database, as IBM typically recommends DB2 when implementing DataStage, and using Db2 can be costly. The company considered moving to a more versatile platform that supports different databases and cloud providers. With IBM, there are limitations, and the cloud strategy is more rigid, which influenced the decision to explore other platforms.

Deployment is straightforward. I have experience implementing the platform for various customers here in Brazil, where I live, and I can confirm that it's quite easy to implement. It takes around six months to deploy.

Data has been migrated from IBM DataStage to Informatica Cloud. In this process, we worked with NextPath MSA, which generated new metadata based on the iDMC platform. After this, the company produced the data, and here at the bank, we are validating the conversion from this process. In some cases, adjustments or parameterization were needed with Informatica to refine the processes. The company is responsible for translating the code and generating the required information for each project. We migrate this to the development environment, then to the test environment for validation, and finally to production, where about sixty percent of the projects are implemented for data integration. The entire process, from creation to production, has taken approximately six months.

We are reviewing all components and executions, and overall, the migration process has been a success, with only minor adjustments. It’s interesting to see how the company has successfully converted the original metadata to the new metadata, showcasing its expertise in the process. We have 40-50 professionals involved.  We have different levels of specialists across various areas involved in this project. For example, we have experts with extensive knowledge of IBM DataStage, others with experience in IBM CA, and some professionals specializing in databases. Each group brings expertise and experience with these solutions, contributing significantly to the project's success.

They do have additional costs in terms of usage.

The bank acquired the platform and utilized almost all its services except MDM. We use APIs, messaging, data governance, and data integration for the enterprise. The platform's full range of services is involved. The combination of data integration with application integration is precious to us. It allows us to acquire information through APIs, treat this information via data integration, and generate files or intermediary databases for future consumption by messaging systems. This type of usage is efficient and straightforward to implement. The implementation and usage are simple and effective for our needs.

In our daily operations, we receive data from external and internal systems for Kuzena and generate information in real-time for various departments within the bank, such as the risk and human resources departments. The platform’s ability to efficiently deliver this information is precious.

When a platform provides data from external systems and other sources, combined with HEP implementation and fast integration, the platform ensures high data quality and the ability to deliver information efficiently. This simplicity allows all departments in the bank to adopt and explore this type of usage easily.

I know of other companies using Informatica Cloud, like Ferrero in Chicago. They used Informatica Cloud for three years but migrated to SAP CPI this year. While I know why they made the switch, it's hard to justify it fully. For context, Ferrara produces candies and is owned by Ferrero Rocher in Italy. The IT team in Italy used SAP CPI for data integration, closing their operations with Informatica products. It's surprising, especially because Ferrero had given us positive feedback about Informatica Cloud regarding usage, implementation, and cost.

Its open platform allows it to connect with everything you need, making it very versatile and efficient for various integrations.

Overall, I rate the solution a ten out of ten.

We've 300-400 data quality rules and different kinds of rules for completeness, conformity, and timeliness. We're using Informatica to implement those rules in Cloud Data Quality.

Informatica has CDI. So, if you find some issues, you can always integrate your CDI and then fix your data.

The reusability factors are nice. The Cloud Data Quality is much better. A major flaw in the previous version was integration with the catalog, which is now seamless.

I have been using Informatica Cloud Data Quality as a partner for three months.

I rate the solution's stability a nine out of ten.

We want to keep costs down, so we are not getting enough resources.

It is suitable for enterprise level.

I rate the solution's scalability as nine out of ten.

Support response time could be better.

Positive

I use Collibra Data Quality. I switched to Informatica because Collibra cannot integrate. Colibra Cloud Data Quality is a very basic tool. There is no integration capability. If you have problem records, there is no fix to remediate them using the same tool. With Informatica, you can integrate with CDI and then create a remediation plan.

The initial setup was straightforward, and we were able to start configuring the rules quickly, etc.

It took about half a day to deploy since we are also learning.

There are different tiers based on consumption, but there is no flexible option. The catalog grows slowly over time. It would have been nice to use a flexible feature at the beginning and then transition to a model where you have a fixed set of units that you consume and pay for. If you exceed those units, you move to the next tier. We were expecting a flexible pricing structure, which we did not get.

We would have preferred a pay-as-you-go model. Although pay-as-you-go is slightly more expensive, we know our consumption will not be high initially. 

It is easy to integrate cloud data quality with IT workflow. We haven't faced many challenges. It is fairly straightforward.

I recommend the solution. 

Overall, I rate the solution a ten out of ten.

The solution helps with cataloging and obtaining the data lineage. Informatica Enterprise Data Catalog also helps in identifying vital datasets, including the critical data elements and cataloging them. In our company, we have to manage the life cycle of the critical data elements and maintain the business glossary.

The definitions of the critical data elements, their linkage, lineage, as well as the relationships are managed using the solution. Informatica has been in the industry for decades, so they are one of the top SMB partners. 

At our company, along with the solution, we also use Informatica Intelligent Cloud Services REST API for app and system integrations in the packaging industry. Of our total portfolio, we integrated applications for about 20%, but we did not have any cloud presence; only a setup application was in the cloud. But for all the on-prem projects, the key components of the customer's product were integrated and governed by using Informatica. 

Data lineage is a valuable feature when, at our company, we design the physical elements and the logical components and need to identify the relation between them. 

The duplicate identification feature for two tickets, synonymous fields, or attributes is another vital aspect of Informatica Enterprise Data Catalog. The categorization of whether data is critical or not in the business glossary is another vital feature of the tool.  

The product is difficult for an untrained professional to operate. Specialized skills need to be acquired by learning the tool and executing it for data operations. Informatica Enterprise Data Catalog needs to be more user friendly, the UI is extremely complex.

For instance, if I have to view the tool, the first deterrent is that it gets highly technical. Thus, a limited number of professionals can understand the tool processes. Unless you are a data professional, it's very difficult to use Informatica Enterprise Data Catalog. The tool operates with Power BI sometimes.  

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

At our company, we haven't faced any downtime or business issues with the solution. The solution allows a limited number of users, so it's easier for the vendor to manage stability. 

I believe the solution is scalable and integrates satisfactorily. Our company was successful with scalability because, for the majority of our applications, where the key data was being hosted, we could integrate the apps quite easily with the cloud.

If Informatica Enterprise Data Catalog is being used, scaling the data up or down shouldn't be a problem. The solution's cloud integrations make scalability easier, unlike the on-prem version, which requires implementing complex security protocols. 

I would rate the customer support a nine out of ten. The product's support team has been highly responsive while solving the issues faced by our organization. 

Positive

At our company, during the product deployment, we had to asses our applications and APIs that would be connected, whether they were available out of the box or not. But the capabilities of customer connections are available with similar tools.

Informatica Enterprise Data Catalog offers custom connectivity. Therefore, the deployment process has been troublesome for our organization except for the mainframe. But as we kept using the tool we realized the integrations could be smoothly completed. At our company, we implement the product if customers are convinced to integrate the tool and make it their central, single source of data management for integrators and technicians. 

The deployment of the solution took more than a year in our organization, which included upgrades, contract renewals, and demonstrations similar to IDMC, provided by the same vendor. For deploying the on-prem version of Informatica Enterprise Data Catalog, a team of five engineers was needed in our company to manage the whole deployment and support process.

A couple of business analysts are needed to gather the users' requirements. Our organization has about ten members who provide on-call support on Informatica for its customers, comprising developers, business analysts, and testers. 

In our organization, we were able to derive about 70% of the critical data lineage. 

It's a costly solution. I would rate the pricing of Informatica Enterprise Data Catalog as six out of ten. 

The automated data lineage feature utilization depends upon the integration, which is why, in our organization, we had all our key applications integrated that derived automated lineages. But there were unknown applications as well, which, due to the lack of integrations, needed to be manually plugged in.

The mainframe integration with Informatica Enterprise Data Catalog is highly complex. At our organization, due to the aforementioned complexity, we had to import all the data of the mainframe into Informatica. If you are able to integrate the tool with your core applications and systems, then the data lineage duration is pretty simple and this structure is the same for competitor tools as well. 

In our company, we might explore in the near future how Informatica Enterprise Data Catalog can assist with AI capabilities. I would overall rate the solution as eight out of ten. To anyone looking to use Informatica Enterprise Data Catalog, I would say if they are willing to understand the company data, then the professional should gather sufficient technical knowledge about the product or take assistance from an Informatica expert because it's not a straightforward tool. 

We use the tool to implement customer, product, and entity masters. We also use TDM to generate synthetic data, but not in real-time scenarios.

It's a multi-domain master data management system. The solution is easier to use compared to the other solutions. The security is good. The governance model is good. All the elements that I expect are available in the product.

The user interface can be a bit more functionality-aligned.

I have been using the solution for the last 15 years.

I rate the stability a nine out of ten.

The product is scalable.

The support team does not provide much support.

Negative

The initial setup was okay. I rate the ease of setup a five out of ten. The tool can be deployed in a minimum of eight to ten months. The implementation requires at least a team of five members. Maintenance depends on the customer's requirements. If the customer's requirements keep changing, we need a team to maintain the tool. Otherwise, one or two Informatica developers are sufficient to maintain the product.

The price is comparable.

All the tools have similar capabilities. There is nothing superior in Informatica. I'm a software integrator. I work for an IT company. I'm not the consumer. I will recommend the product to others, but it depends on the customers’ needs.

If an organization needs a good customer master, product master, or partner master, Informatica MDM will be a good choice. The solution has been in the industry for quite a long time. It has all the elements I look for in a master data management system except for customer support. All other things are fine.

Overall, I rate the solution a seven and a half out of ten.

We had proof of concepts where certain test cases were given to improve the functionality of the vendor regarding the supply chain.

So, it was a proof of concept. It was not applied in production.

It was just illustrating the capabilities of the platform, and we were comparing it with other platforms.

If we use it comprehensively, we can improve the data quality metrics or KPIs. 

So use as much data as you process, and have a solid strategy in place. If you don't have a comprehensive approach, then you don't draw any benefits or value from such a complicated platform. So, you have to have the objectives very well set up and be part of your daily activities in order to benefit from such a platform.

I like the connectivity and richness of features for the technical team, the maturity of the product, and that it had a cloud version. There is Informatica Cloud, and it is part of the Informatica Cloud platform.

It also has integration with other data governance tools from Infromatic, which is also good. 

It offers integration with some of the latest data platforms, streaming platforms like Kafka, for example. And the setup of the platform is very challenging.

Regarding the cloud, it is deployed in the private cloud of the vendor, so it poses challenges regarding the security of the data and the confidentiality of the data. There was no offering of a cloud version deployable in the client's tenant where all the data would reside.

I used it for a couple of months because it was only demoed for the client.

It is a stable product. 

The customer servive and support could be faster. There is a slow turnaround. 

Neutral

We just compared the data profiling features or data quality features between the tools. There was a rich functionality available in the system, but we did not draw any conclusions regarding how it improved or may have improved.

It was set up by the vendor for the demo. To deploy the Informatica Enterprise Data Catalog, you need at least two admins and architects. 

It enables business processes by providing trusted data that can be integrated into many processes around data.

It's very expensive. It's subscription-based. There are several levels of subscription.

The price is high, but the competitors are even higher and more experienced, like Collibra.

Overall, I would rate the solution a nine out of ten. 

I would recommend it due to the consistency of vision and very good integration between different products of Informatica. It offers wide coverage, the widest coverage of technologies from the major players.

We use the product to store data. We have established a structured system where we store all relevant information, including donor details, images, and series, ensuring easy accessibility for users.

The product's most valuable feature is the ability to select the data flow and lineage.

Informatica Axon's response times and certain aspects of the admin panel could be enhanced for better usability.

We have been using Informatica Axon for more than one year.

I rate the platform's stability as seven out of ten.

We have around 400 Informatica Axon users in our organization. I rate the scalability a nine out of ten.

The technical support services at the moment are impeccable. The support team has answers for everything. They have maintained this level of quality as we progress. There aren't many issues currently, although we're awaiting the migration to the cloud.

Positive

The implementation process could be simplified.

The platform has a premium cost. I rate the pricing as seven out of ten.

The product needs to be adequately supported in the current setup. I advise others to conduct a proof of concept (POC) and assess how it progresses. The learning curve can be steep, but with sufficient time investment, they can also impart knowledge to the users, which is crucial for effective change management.

I recommend it to others and rate it an eight out of ten.

I use the solution for preparing the data according to the data quality rules.

The mapping and mapplet features are valuable. The product improves data quality. The processes are running smoothly. The interface is good. Data integration is easy.

I use the solution to integrate on-premise and cloud products. There are issues with connectors to cloud applications. The integration process is not easy. The customer experience must be improved. When we implemented it, we did it with the help of Informatica professionals. I would not recommend them as an implementer. They didn't have any experience. It was very hard. The customer experience was not good. It's hard to understand the new features of the HR list. The tool must have more options for connectors. It is hard to connect to some of the applications. The remediation process is not straightforward.

I have been using the solution for one and a half years.

I rate the tool’s stability an eight out of ten.

I rate the tool’s scalability a six out of ten. It is a bit complex to scale. We have 20 users.

The technical support is not good. The support team must improve the quality of support.

The product is cloud-based.

We got a 50% discount.

We couldn’t deliver the full project. I will not recommend the product to others. Overall, I rate the solution a seven out of ten.

I use Informatica Cloud Data Quality in my company, as most of our customers have data from different systems and just want to standardize and enrich that data. If you have data like cell phone numbers, it is important to ensure that there is a consistent format to adhere to, like the area code, IDs, or social security numbers. The tool also helps users check email addresses because sometimes a user may find that their data has an incorrect email address. A lot of the use cases related to the tool involve understanding the data from all of the systems and starting the journey to unify some of those data fields, having some consistency in how the data is being captured, and helping look at the completeness of the data. In short, the use cases are to understand the data from different systems and different sources generally. Data could come from the CSV, a web service, or out of the database, but Informatica Cloud Data Quality allows you to extract from all those sources to give you a unified interface to decide how you want to customize and standardize the data.

The most valuable features of the solution stem from the fact that the product's integration capabilities are easy to work with, along with another feature, the name of which I forgot, but I know that it helps users to compare the quality of results from two different points in time just to see if there have been any improvements.

I think Informatica Cloud Data Quality is one of the more mature cloud products, so I can't think of any areas where improvements are required. Informatica Cloud Data Quality is a product that is very similar to what Informatica offers for data quality on-premises, so there aren't too many gaps compared to the others, and I can't really think of any area requiring improvements.

I would like Informatica Cloud Data Quality to offer more integration capabilities with different platforms. I need to consider the fact that Informatica Cloud Data Quality supports a lot of the standard protocols for which most platforms use endpoints. In short, integration is not really an issue with the product.

The high price of the product is an area of concern where improvements are required.

I have been using Informatica Cloud Data Quality for a year and a half to two years.

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

It is a cloud-native microservices-based product that can manage a lot of data. Scalability-wise, I rate the solution a ten out of ten.

Though at the moment we are not currently using the product in our company, a while ago, around 15 employees used to use the product.

The solution's technical support was good. There were no issues with the solution's technical support.

I have experience with Informatica Intelligent Cloud Integration Services.

The product's initial setup phase was easy.

To get the product running, you just need to switch it on, so I don't think it takes more than a day. After deciding the sources from where your data would come from, you can decide if the cloud needs Informatica Cloud Data Quality while ensuring that nothing gets installed on the server, but the only thing you might need is a secure agent on your machine and that is really quick to set up on a virtual machine, which I feel won't take more than a day.

The solution is deployed on the cloud.

I can't remember the deployment process of the product since I am currently working in a different space.

The product's deployment was carried out with the help of a consultant, an integrator, and our company's in-house team. A consultant would be useful to guide a customer, but typically, customers tend to want some hand-holding and someone who can look towards them. Once someone shows the customers of the product how to do the deployment process, then they can do it themselves.

I have seen some benefits from the use of the solution in my organization.

It is a tool that is easy to trust with your data. The tool's service provider also ensures customer experience satisfaction from the use of the product. In one of the use cases, the tool helped the user identify which systems would be decommissioned because of the outdated data that the user had, and now that the user has updated everything, it should be much easier to cut down on those systems that they don't need to use.

The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high.

Those who plan to use the solution should conduct a pilot or proof of concept before choosing the product to understand the tool and also present the facts of the business because it will be much easier for a normal user to understand the purpose and the value that the product provides in an actual or real case scenario.

I rate the overall tool a nine out of ten.