Informatica Intelligent Data Management Cloud

The typical use case of Informatica Intelligent Data Management Cloud (IDMC)  is governance activities for data quality and data cataloging. I need to look at the request type from whom I am getting to provide the details.

The most helpful features in Informatica Intelligent Data Management Cloud (IDMC)  are data cataloging and the data marketplace.

In terms of data quality management, Informatica Intelligent Data Management Cloud (IDMC) helps with data governance overall.

There are some improvements needed in Informatica Intelligent Data Management Cloud (IDMC), especially from a user experience point of view over the last year. They are improving, and there is still scope for enhancement.

The observability concept in Informatica Intelligent Data Management Cloud (IDMC) needs improvement as the capabilities are not up to the mark compared to the industry.

In terms of cost effectiveness, Informatica Intelligent Data Management Cloud (IDMC) is more than 20% costly compared to the industry.

Regarding AI features in Informatica Intelligent Data Management Cloud (IDMC), there is always improvement and clarity present, but compared to the competitors, they are still lacking. The AI features are helpful, but when compared to its competitors, they need enhancement.

I have been working with Informatica Intelligent Data Management Cloud (IDMC) for five and a half years.

The deployment of Informatica Intelligent Data Management Cloud (IDMC) is user-friendly, but if the software is available, it takes some time.

I have contacted the Informatica technical support team, and they have good technical support, but there is always room for improvements. My experience with Informatica technical support overall rates around three, which is above medium, but not extraordinary.

Neutral

Informatica Intelligent Data Management Cloud (IDMC) takes about a couple of days to configure, depending on the services.

I am aware of its competitors, and I will provide the details once I know them more thoroughly.

I definitely would recommend the Informatica solution to other people.

I am satisfied with Informatica Intelligent Data Management Cloud (IDMC), even if it might be lacking in some areas. The expectations will be somewhere, and the tool can support somewhere, with opportunities to improve, considering the features they are building and their strengths.

I would rate Informatica Intelligent Data Management Cloud (IDMC) at around seven.

Informatica Intelligent Data Management Cloud (IDMC)  is one of the cloud-based data management facilities that Informatica provides for us.

I have been working with this tool for many years, primarily focused on the CDGC, which involves working on on-premise cloud data governance models. Informatica has facilitated managing this with a modern approach, integrating base data quality and data governance. The tool retains the same on-premise architecture, but the terminologies and verbiage are somewhat different, leading us to comparatively start working with cloud-based data governance tools.

Previously, Informatica EDC was separate for managing data and metadata management, while Axon was dedicated to data governance initiatives. The integration of both was needed, but it was too complex for a layman to understand the EDC, integrate with Axon, or vice versa. The cost involved was also quite high, as there were separate licenses for EDC and Axon; utilizing EDC without Axon was not fruitful. We mandatorily needed to purchase licenses for Axon to create a full framework.

In the earlier case, proper separate licenses were required. The technical team had to ensure integration and maintain both environments, which was a difficult task. Now, with the cloud-based data quality, they have merged the two into one element. In on-premise, we call it EDC for metadata management, while in cloud-based technologies, it is known as the Metadata Command Center, which serves the same purpose as EDC concerning CDGC.

The marketplace has also moved to Informatica Intelligent Data Management Cloud (IDMC) , forming a cloud data marketplace. They consolidated many tools into one, which is impressive.

The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra , and Azure  Purview . As a matter of POC, they are assessing whether their requirements can meet data governance initiatives. The need for skilled professionals is increasing, but cost remains a significant consideration for organizations when implementing CDGC. If a budget is allocated and they are satisfied with the Informatica CDGC license price, then it is a very good tool to implement.

Regarding improvements, besides the price, the advanced clusters feature in CDGC needs attention. There are advanced scanners features present in both on-premise and cloud, but the setup isn't straightforward; there are lots of dependencies to consider. For instance, an SAP connector dealing with CDGC isn't simple. There are precautions and prerequisites that must be followed; otherwise, it won't work easily compared to the Oracle connector. Thus, resources need to be handled carefully with the advanced scanner configuration guide.

I have been working with this tool for many years.

Informatica Intelligent Data Management Cloud (IDMC) has been very quick and easy to deploy because it only requires a reliable internet connection and a compatible browser. We can do many tasks without needing advanced hardware; a basic laptop or desktop with an updated browser suffices for managing data with IDMC. There is no necessity for extensive engineering tasks to utilize the tools.

The technical support team from Informatica is excellent. If they are unsure how to resolve an issue, they keep customers informed, providing updates about progress and ensuring communication with the product team to deliver accurate responses. This level of intimacy and coordination is excellent.

Positive

If the process is set, every organization has its own governance structure for providing access to users, subject to policies and processes. If everything is in place, it takes only about 10 to 15 minutes; it's straightforward.

If user access approval is excluded from the process, it can take less than 5 minutes.

The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra , and Azure  Purview . As a matter of POC, they are assessing whether their requirements can meet data governance initiatives. The need for skilled professionals is increasing, but cost remains a significant consideration for organizations when implementing CDGC. If a budget is allocated and they are satisfied with the Informatica CDGC license price, then it is a very good tool to implement.

Customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview. As a matter of POC, they are assessing whether their requirements can meet data governance initiatives. The need for skilled professionals is increasing, but cost remains a significant consideration for organizations when implementing CDGC.

I haven't found any difficulties managing different data standards. The team and everyone at Informatica Corporation are friendly, and the documentation is self-learning and self-taught, presented in an understandable format with pictorial representations that help us not to depend on others. The only challenge is reading through around 200 pages of documentation, which can be a pain point.

Informatica is easy to integrate with other tools using APIs. However, it has some difficulties. Informatica appears to build revenue by offering different environments. If you have a rare setup, such as SAP HANA  CRM  systems, it isn't bundled within a standard license, so purchasing an exclusive license is necessary for integrating such atypical systems. These should be included as part of a single license.

Some connections, like MongoDB , are straightforward, and Oracle works well under a single license, but certain source systems pose challenges in managing connections and integration, such as SAP systems and CRM  systems, where licenses must be obtained separately from Informatica.

If you have an SAP environment, it's better to consider alternatives or be aware that additional costs may incur for integration.

On a scale of 1-10, I rate Informatica Intelligent Data Management Cloud (IDMC) a 10 out of 10.

Public Cloud

Other

We are cataloging datasets across the organization. Cataloging information across all the tables and other files is the major use case.

The feature that allows me to search across the entire organizational database and then look through what objects are in which tables and which locations is quite handy. Informatica Intelligent Data Management Cloud (IDMC)  can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.

I haven't really used AI yet, but I would like to use it. I may be in a better position to answer this question once I explore that feature. I also want to see integration with other Informatica products, such as IICS , to leverage the metadata from EDC.

I have been using it for about four years, I guess.

My experience with deployment of the solution was pretty straightforward.

We usually get support from our vendor and Informatica, and so far it's been great.

The response time is pretty good because we have someone in-house, who is an expert from Informatica, in our team who can help us with any sort of queries usually. The response time is pretty good. I can't complain.

Positive

I didn't work with anything similar before.

My experience with the initial setup was pretty straightforward.

We hired a vendor. They were helpful.

Unfortunately, I can't really quantify it at this stage, but I can see that there's a lot of time saved.

I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC)  has.

I would rate it 9 out of 10. I really want integration with other Informatica products. For example, we have IICS .

Public Cloud

Other

I have used Informatica Intelligent Data Management Cloud (IDMC)  for customer data management and analytical product master data management solutions. The first use case involved finding unique customer references with match and merge functionality. The second use case was creating a master data repository for products for use in the analytical layer.

The match and merge functionality is invaluable for discovering golden master data records. Additionally, the integrated data transport and master data creation capabilities are significant. The platform's ability to pull in and push out data from other platforms without the need for an additional integration tool enhances its appeal. The availability of data quality tools within the platform is another bonus. The presence data governance tools for meta data management adds to the benefits. 

There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM . 

The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.

I have been using IDMC for the last three years across two projects

Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users. 

I have rated the stability a ten out of ten due to a high level of satisfaction.

As a SaaS platform, IDMC is quite scalable and provides complete flexibility. Users can increase data capacity on demand based on licenses, which facilitates easy and fast scaling.

The customer support team is good at response and issue resolution. However, due to the tool's maturity limitations, solutions are not always simple and often require workarounds, indicating a need for further improvement.

Positive

The Informatica on Prem MDM  product suite is very mature as a tool and still a very good option. 

I rated the initial setup of IDMC as a six out of ten. Many tools within IDMC are new, and those familiar with on-premises versions find the features limiting. This necessitates assistance from the Informatica support team and architects for ensuring quality of implementation. 

The pricing is high and is based on the number of master data entities managed within the platform including refrence data entities. It can range from a quarter million to a couple of million a year. IDMC is often described as the 'Ferrari of Master Data Solutions,' implying that while expensive, it is still the best as a business-critical platform and, therefore, justified.

As an integrated enterprise solution, IDMC is quite good, however, the platform needs to mature in the capabilities it currently provides. 

Overall, I rate Informatica IDMC a seven out of ten.

Public Cloud

Microsoft Azure 

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.