Informatica Intelligent Data Management Cloud (IDMC) Reviews

Data quality is missing enterprise-wide in our bank. We use the solution for all the customer data to judge the metrics of software data quality from the source systems.

Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud. There is no crashing of the servers. The admin part is very seamless in the cloud, while administration is a big task for the on-premises version.

The on-premises version is very mature, but many of the on-premises features are missing in the cloud. It is still in the development stage and has not yet matured in the cloud. The tool has a lot of product errors that need to be fixed. We face a lot of internal product errors while doing the configuration and quality checks.

The on-premises version has many use case transformations, but they are missing in the cloud. The cloud version has only four to five types of use case transformations. You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC).

I have been using Informatica Cloud Data Quality for six months.

We face many glitches during the configuration because it is a new product. It will take another year to mature.

The solution's scalability is seamless in the cloud. You can scale the solution within one or two hours.

The solution's customer support is wonderful, but they are not up to the mark knowledge-wise.

The solution can be implemented in one or two days. There are steps available to deploy the tool. One person is enough to procure the VM or the server.

Informatica Cloud Data Quality is a costly solution.

The solution's competitors include Oracle Data Quality, Collibra, and Azure Purview.

The solution provides data standardization capabilities. Since Informatica Cloud Data Quality is a SaaS solution, it does not require any maintenance. Since it is a cloud product, many connectors have configuration issues. They have to add some other parameters in the tool levels. We face such challenges in the cloud, not on-premises.

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

We use the solution for ETL.

It's a powerful tool to create data warehouse solutions for our clients. We take unstructured data and use Informatica Cloud to structure it in various ways, making it usable on a reporting front end. This enables clients to make informed business decisions based on the data.

It's the accessibility and the range of features that stand out. Before using Informatica Cloud, we were working with Informatica PowerCenter. The transition from PowerCenter to Cloud wasn't entirely effortless, but it was seamless enough for our developers to adapt and continue their work smoothly.

Our main issue is transitioning from on-premise to cloud data storage. As many clients move their data to cloud platforms like Azure, Snowflake, and AWS, we're encountering problems with Informatica. Errors that were straightforward and clear with on-premise databases now appear ambiguous in cloud environments. Our developers spend significant time reducing these generic errors, often simple issues like a column not accepting null values. This lack of clarity is causing unnecessary delays as they have to sift through logs or contact support to diagnose problems that would have been more easily identified in an on-premise setup.

I have been using Informatica Cloud Data Integration as a financial partner for over five years.

We have about seven developers. It is a scalable solution.

When errors arise, contacting support can be frustrating. Sometimes, the technician can't solve the issue and transfers us to someone else. This makes us less confident that the person helping us is truly equipped to resolve the problem.

Neutral

The initial setup is simple and depends on the task. However, it usually takes a couple of hours if development is complete and we're moving from the development environment to production.

ROI is strong because we have a structured portal that ensures development is done correctly. It is shareable, scalable, and equipped with enough monitoring tools to quickly address any issues. Ultimately, the client doesn't care what tools we use. They just want problems resolved quickly. Informatica provides the necessary tools and features to help us do that effectively.

It has premium pricing. Depending on what we're working on and which features we're using within Informatica, there can be additional costs. It's mostly data integration, but you might need to upgrade your license to include other aspects of Informatica. Certain connectors require a license upgrade to access.

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

We use Informatica Cloud Data Integration to load data from files to TelSource or Oracle tables. We also apply business rules to transform the data before loading it into the respective targets.

Most of the features are good. The advanced features like task flow and conditional integration are particularly useful. There are multiple transformations we can use in Dashflow, which are beneficial. We don't use features like centralization and data marketing because they aren't relevant to our use case. Our primary focus is on task flow, which allows us to design our jobs and execute them conditionally.

Some features require an additional license, such as Elastic Mappings. Most of the features provided are through Elastic Mappings, not the data integration service which causes restrictions. For example, the recently enabled source partitioning isn't applicable to Salesforce, which we use as our target or source. We primarily seek features that enhance performance for Salesforce and ICS Integration, aiming to reduce job execution time.

We don't have the license for Elastic Mapping, so we can't use that feature. Most of the new features added by Informatica are through Elastic Mapping. It would be helpful to have features like multithreading or partitioning for Salesforce to enhance performance.

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

The product is stable.

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

20-30 users are using this solution.

I rate the solution’s scalability a five out of ten.

Support is good.

Positive

The initial setup is very easy. When I first started using it, I installed a 30-day trial version. I personally explored it during that period, and it was good.

It takes 30-40 minutes depending on the jobs.

I rate the initial setup a ten out of ten, where one is difficult, and ten is easy.

The team is very user-friendly, meeting our expectations much like PowerPoint does.

It supports integration with most cloud sources, including AWS, and has various cloud connectors. So, It's a good choice for anyone.

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

So my use case was on migration.  I've been using these products for migration activities. And providing any QA solution for the integration to other platforms like Databricks.

There are newer technologies in the market that offer better solutions compared to traditional ETL operations. For example, if we use Spark on Databricks, it's more optimized and runs much faster due to its backend capabilities. Whereas Informatica Inc.'s Cloud Services provide cloud-based solutions. The ETL works on the Informatica engine, which is comparatively slow. But the compatibility of data and other integration and data warehouse works well for IICS.

The interface is really good. Another valuable feature is that it is user-friendly.

There are a few improvements which can be done. So those are on data governance and making an image of each object that is being created on top of Informatica, I mean, on top of applications. So those need areas to be improved.

The logging methods are really traditional. So logging, in order to track any operations happening on this interface, will catch a log file. That needs to be more precise.

In future releases as well, I would like to see additional features. So there is no platform where code conversion can happen easily. For example, if you want to move Informatica jobs in various areas, it's quite easy and straightforward. But still, you require some manual intervention for code changes that need to be done throughout the platform. So these things need to be improved. 

And other things are the compatibility of other services. For example, if you have a running Spark code and you want to run the Spark code into Informatica IICS, which is not compatible, so you need to rewrite the whole syntax to make it compatible. So those are the areas that really need improvement.

I have been using Informatica for three years. We currently use the version Informatica Cloud IICS.

Stability is good. I would rate it a seven out of ten. 

Scalability is good since from on-prem to cloud, there's a huge performance boost. So on a scale from one to ten, I would rate it eight.

The setup is complex. Because it's not about the data; it's about the complexity of the pipeline, the complexity of models which have been designed for data engineering. And it's not something straightforward, and the migration cost goes higher on this aspect for this reason.

We have multiple platforms with it. Some of them are running on-prem, and some of them are running on the cloud.

There is definitely an ROI because many companies are preferring to put data in the cloud, and they want to reduce the migration cost. So without any major efforts or challenges in the migration activities, if that's the case, then moving from Informatica on-prem to IICS is a better choice.

Comparatively, other services are providing a lower price, but since moving from Informatica on-prem to IICS, the pricing factor is much better. So when we compare two platforms of the same vendor, it's a good price.

On the evaluation, I have personally evaluated the migration work that I have done. So it is really easy for Informatica users who have been using the same on-prem product. For them, there won't be any challenges in learning any technical aspects of the cloud. So it is almost straightforward. And there are good services provided by Informatica, like integrated things and driver compatibility. So, everything looks much better when it is in the cloud.

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

I use the solution for financial institutions, where we push our data into the warehouses and analytics platforms. We query the Kafka messaging services and see whatever message we get. We used to take the API responses and load them into different target systems, some cloud-based and some on-prem. For some security reasons, we used to push the data to the on-prem and then the cloud versions.

In Informatica, we can export the metadata in XML format, and then we can see what all are available. Metadata querying is right now not there in Informatica Cloud Data Integration. Informatica Cloud Data Integration needs to make metadata querying available in the tool, and Informatica needs to put more reports to get the lineage details and then the source system, if at all there is a need for us to identify them. It is an area where we face big challenges. I started using Informatica Cloud Data Integration recently.

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

The solution's technical support is pretty good, especially since the turnaround time is good. When we raise tickets with the tech support team, we get support within the shortest span. I rate the technical support an eight out of ten.

Positive

I have used IBM Cloud Paks and Informatica Cloud Data Integration. Sometimes, we have to go with our client's perspective, especially if they have pre-existing licenses and get any discounts. My company has suggested IBM Cloud Paks, but with the existing things that our clients work on in Informatica, sometimes they prefer the same vendor. We did PoCs for both IBM Cloud Informatica Cloud Data Integration to help clients figure out the overall run time cost and then the number of credits that they are after, based on which they have opted for Informatica.

I have previously worked with IBM Cloud Paks and Snowflake, and both of them were client-specific tools for which we had to choose. If some tool was already in place, then it has already been paid for as a part of the procurement process, so we should continue with it. If it is a new proposal, then we have to go for it and list out to our customers all the things that we have in our pocket, and where we can take care of all the accesses, billing per hour for users, number of hours, and all such related details. After that, we suggest to our customers to take a call depending upon the amount of budget that needs to be allocated for the technical stuff.

For the last few months, I have been working only on Informatica Cloud Data Integration. Some people are interested in the Azure Databricks for their pipelines. Some of the partners who are providing tools to customers are also interested in Azure Databricks.

Instead of Informatica, I recommend IBM products to others, especially if someone already has other products from IBM's family or has purchased some information catalog. My company suggests that such customers go with IBM Cloud Paks since it allows you to lift and shift some of the existing jobs or processes to the IBM Cloud Catalog. If somebody wants to go for a cross-platform, then there was a time when my company used to suggest they go for Azure Databricks. It all depends on the existing infrastructure and a user's broader plan. Based on it, we used to suggest tools to customers. My company also used to look at what our customers were using and what their target was.

When it comes to the impact of the mapping and transformation features on data integration processes, Informatica has an existing license system where we directly map it to the existing cloud and then run it over the cloud. Any new development activities that we are doing are done directly on the cloud. Informatica has provided this migration tool for lift and shift purposes. With the tool, almost 80 to 90 percent of things are directly convertible from on-prem to cloud services, but through reports, we figured out that 10 percent can't be done, so we have to redo such areas in the cloud.

Speaking about the ease of use and learning curve of Informatica, I would say that my total experience is close to thirteen years with ETL tools. I have worked on multiple ETL tools on different clouds. I don't see much difference between IBM Cloud Paks and Informatica Cloud Data Integration. For me, these are more or less similar tools, with just a change in cosmetics.

Speaking about Informatica Cloud Data Integration's performance and scalability and how it meets our company's project needs, I would say that we have to buy CPU units. Initially, we had some 10,000 CPU units, and with that, we knew how many credits there were. Most of our systems are in production, so only with the peak loads, our threshold is not going beyond 60 to 70 percent of utilization.

Informatica Cloud Data Integration is associated with a bigger integration part where we have around 200 mappings and it works well. I don't see many issues in the tool except in the area of metadata querying. If I want to figure out a particular column of the table that is impacting the number of mappings, previously, we used to go for query, or we used to query in XML format. Currently, we have to call the APIs, but the information that we are after is not that precise.

Informatica Cloud Data Integration can be integrated with Salesforce. We can also have some other API integrations. If you have any specific systems, then considering whatever ERPs or legacy systems we have used with the tool, we don't see many issues.

I would recommend the tool to others. I would recommend the product to mid-sized companies. At the end of the day, everything is about the number of CPUs or the units that are needed to run it. Everything depends on the number of mappings of the growth prospect of the ETL pipelines that one is going to build. If it is mid-level and companies are above the mid-level zone, Informatica and IBM Cloud Paks are preferable to the other tools.

I rate the tool a seven and a half to eight out of ten.

Informatica Enterprise Data Catalog was used by our company as proof of concept for projects related to comprehensive data governance. 

The solution has multiple valuable features for metadata collection from multiple data sources or technologies. The solution manages data and acts as a central hub for setting up data governance processes. 

The automated scanning of metadata from data sources is one of the most vital features of Informatica Enterprise Data Catalog. The solution comprises attribute features and AI capabilities for automatic relationship discovery between different datasets.

Another powerful feature of Informatica Enterprise Data Catalog is data lineage. The whole path of data transformation from one location to another using certain technologies is represented in Informatica Enterprise Data Catalog. The solution integrates seamlessly with other products from the vendor and allows the creation of comprehensive data governance processes.

The aforementioned integrations facilitate the coverage of semantic layers in addition to the technical data. There is another business glossary product from Informatica that easily integrates with Informatica Enterprise Data Catalog to consume data harvested by Data Catalog, which makes a powerful combination. 

The user interface of the product needs to be improved. Informatica Enterprise Data Catalog captures huge amounts of data and along with this data, the interface becomes comprehensible only for users with advanced technical knowledge. Even for advanced users, it becomes challenging to move around vast amounts of data collected by the solution. 

Some competitors of Informatica are trying to implement some brilliant ideas, but they lack the coverage provided by Informatica Enterprise Data Catalog. The data lineage feature can also be further improved.

While using the solution, the data is being transmitted outside the client's network to the Informatica cloud, which can be a security concern; the vendor can solve this by enabling the product as part of a public cloud like Azure, AWS, or Google. The aforementioned scenario can be a concern for institutions like banks where there are legal restrictions and data needs to be fully under control. 

I have been using Informatica Enterprise Data Catalog for a year. It was used in two different projects in our company, each of them concluded in six months. 

I would rate the stability of the product as seven out of ten. 

The customer support is satisfying, but the turnaround or response time is quite long as the vendor needs to support a huge number of customers daily. At our company, we have noticed that there are experts in the support team who can provide effective solutions. 

The tool's initial setup is complex. I had experience with the on-prem deployment of Informatica Enterprise Data Catalog, but I believe the cloud version is easier to set up. The solution's deployment takes around three to six months.

About four to five professionals are required, including technical administrators and data governance experts, for the on-prem deployment of the solution; for cloud deployment, three professionals might be enough. 

It's a very expensive solution. 

Informatica covers the widest area of technologies in comparison to other vendors and they also have a network of partners who develop add-ons for extending functionalities or data source technologies which could be integrated with Informatica Enterprise Data Catalog. The solution provider has a wide partner ecosystem to provide features on APIs and special custom formats that could be imported or integrated into varying processes. 

The solution's features can be extended and the vendor provides useful documentation and training on it. Informatica Enterprise Data Catalog is a reliable platform due to its extensibility and cooperation with other partners. I would overall rate the product an eight out of ten. I would definitely recommend others to use the solution, given that there isn't a requirement for in-depth analysis. 

The critical data lineage feature acts as a link between every aspect of data governance, including an explanation of the data journey and its history which reflects the business growth. The powerful AI capabilities of the solution allow you to automate the management of massive amounts of data, especially the aspect of associating technical metadata with business terms.

When dealing with millions of data attributes its not possible to manage data manually, therefore Informatica Enterprise Data Catalog is needed to automate 60 to 80 percent of data association between business terms and harvested technical terms.

If the Informatica Enterprise Data Catalog deployment is carried out efficiently, it can greatly impact your organization and enable business capabilities to further improve business processes. 

The main purpose of this tool is for file transfers related to our Python server.

The data integration and synchronization features in IICS improve the data handling processes.

I haven't had the chance to explore all the features in-depth since we've only been using them for a couple of months.  

I appreciate that it's a cloud-based solution. With a good internet connection, it works smoothly.

It also offers multiple features. 

There's definitely room for improvement in terms of user-friendliness.

One example is that you can't search for jobs directly by file name. You can only search by job name. So, if you want to find a job that works with a specific file, you have to go through each job individually to find the right one.

So, I'd like to see a faster search, one where I can search directly by file name.

Moreover, the support team could improve by adding things like file transfer status updates. Also, if someone modifies a job and then leaves the company, that shouldn't disrupt the job for active users. It would be better if the job continued to run smoothly regardless of who modified it.

I have been using it for seven to eight months. 

It is a pretty stable product. 

Scaling is easy. It's not overly complex. In our team, we have around 10 to 12 people using it. Additionally, there's a separate IT team dedicated to IICS with over 50 people. Other private projects likely use IICS as well.

We sometimes face challenges when implementing new features. In those cases, we contacted support, and they've been very helpful.

wWe're happy with the support team.

It is a cloud service. We use AWS and Azure Cloud. I'm not fully sure about the installation details, but I know we use AWS and potentially other cloud features as well.

If you have experience with similar tools or a general understanding of IT concepts, it's easier to grasp. Learning the features takes time, but with an IT background, you should be able to figure out the basics. 

We all encounter challenges sometimes and need to learn new things. Overall, it's not overly difficult or overly simple. It's manageable if you have the right mindset.

It's definitely a good tool, especially if you're using cloud services and an S3 bucket. It has many features to simplify your work and make your life easy. It's not overly difficult to learn, but proper training is essential to understand and make the most of all the features.

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

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. 

Neutral

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.