Informatica Intelligent Data Management Cloud (IDMC) Reviews

My company works with our different customers to implement and install the solution.

The workflow in Informatica Axon is intelligent and good. Informatica Axon provides good data collection and good search criteria. In Informatica Axon, workflow and business glossary are good.

There are some limitations with Informatica Axon when one tries to connect or integrate it with Jira. For example, I can't delete any workflows after the integration process. There are issues with the integration capabilities of the tool with third-party solutions, specifically Jira.

I have experience with Informatica Axon for two to three years.

It is a very stable solution.

It is a scalable solution.

I recommend the solution to big companies because its functions are suitable for high-end companies.

The P1 support offered by the solution's technical support is very fast. If it is not P1 support, the support a user might get will be slow as it takes time. I rate the technical support a seven out of ten.

For data governance, I work with Informatica Axon only. I prefer Informatica Axon for enterprise metadata management at an enterprise level, data quality, and integration. I only recommend Informatica Axon, mainly for data governance.

The product's initial setup phase is very easy.

For each of our company's customers, with an installation scope in place, it doesn't take much time. The product's implementation scope differs from the installation scope. I usually help our company's customers implement the tool.

The solution is deployed on an on-premises model.

Informatica Axon is a very good product with an easy implementation phase and a lot of information about the tool available online on the internet.

I rate the overall tool an eight out of ten.

I use Informatica MDM to align data in my company.

The ability to aggregate and put together data from around fifty sources into one environment allows us to have a preview of everything in a single place, which is something we did not have previously in our company.

The most valuable feature I see in Informatica MDM stems from everything that touches the area of data governance.

I think everything related to the APIs and the manageability of the APIs in Informatica MDM are areas where improvements are required.

I have been using Informatica MDM for five years. I use the solution's latest version. I am a user of the solution.

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

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

Around 250 users of the solution exist in my company.

There is a need to use the solution in my company at least three times a week.

I rate the technical support an eight out of ten.

Positive

I have experience with other solutions. I switched to Informatica MDM from other solutions since it offers better scalability options and interoperability.

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

My company has deployed Informatica MDM with the services offered by our cloud partner.

Informatica MDM's deployment phase takes around a year to be completed.

Two people, who are data engineers specialized in Informatica MDM, are required for the deployment phase of the product.

Informatica MDM's deployment phase was carried out with the help of my company's in-house team and Informatica's partner.

I rate Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price.

Ideally, only one person is required to take care of the maintenance part of the product, but with the number of terminals where the solution is deployed, there may be a need for three or four people.

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

I rate the overall solution an eight out of ten.

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.

Our use cases were related to the financial and banking sectors. We created data and transferred it to the enterprise level. 

The most valuable feature of Informatica Axon is features, interfaces, and data mapping. It represents clusters nicely. 

The solution should improve its integration. 

 I have been using the product for three years. 

Informatica Axon is stable. 

The product is scalable. 

The tool's support is fine. 

Informatica Axon's deployment is straightforward. 

I rate the product an eight out of ten. 

We use the product to define policies and for data discovery management.

It is complicated to establish the lineage in EDC using PowerCenter mappings. We have to do the process manually every time. This particular area needs improvement.

We have been using Informatica Axon for five years.

It is a stable platform. However, we need to raise the ticket even for the smaller issues. There needs to be proper documentation available. They should provide enough information.

We have eight to ten customers for Informatica Axon. It is a scalable product.

The technical support team takes time to complete the debugging process.

The initial setup process is fine, but there are a lot of infrastructure issues. It includes errors on the node cluster for EDC. Deployment is easy, but debugging is time-consuming. Whenever we raise the ticket to the support team, they take two to three days to evaluate the issue.

The licensing price of the product depends on the organization's requirements. It is less costly than Collibra.

I recommend Informatica Axon to others and rate it a seven out of ten.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Data Quality involves quality checks and data profiling. It scans through the data, providing metrics like the number of nulls and unique values. Informatica Data Quality profiles the data.

In my experience, I've specifically worked with a feature called ARS Doctor, which is part of IDQ (Informatica Data Quality). So, in my earlier project, the core functionality of ARS Doctor revolved around address information sourced from the USPS postal service. It does validate the data. This is crucial because customer addresses often contain diverse writing errors. Given the presence of multiple applications, addresses can be inputted or tagged across various systems or enter their address data differently, yet it needs to conform to a standardized format. 

Therefore, each address, even if inputted from distinct systems, undergoes validation to match a single, customizable format. We also have customized settings for these validations.

There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny.

I possess extensive hands-on experience and expertise in Informatica.

I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset compliance in various scenarios.

In terms of scalability, you see, it is on the cloud environment, which itself gives the scalable, and flexibility in terms of accommodation of the data. So if we want to scan across the data for the quality and checks, like, not on any sample data. We really want to do this profiling on the checks on a lot of data. So it is very much visible in the cloud environment, which is cloud storage, which is provided by AWS or Azure, or GCP.

Based on my experience and involvement in reported discussions throughout my career, I would definitely give their customer service a high rating. We receive excellent support from Informatica's team, especially during activities like upgrades and other related tasks. 

Positive

When it comes to the initial setup, particularly in a cloud environment, it's primarily license-based. There are various features available, each catering to different needs. The platform can establish connections with various systems based on the connectors it offers. These connectors facilitate integration with different environments. 

When it comes to data quality, it is a license-based model. So, if you procure the necessary licenses, you gain access to the relevant options. It's all about tailoring the solution to the specific requirements of the project.

If the goal is to perform quality checks separately, there's the option to employ dedicated products for that purpose. Alternatively, data quality checks can be integrated into the data integration process. Naturally, data integration involves elements of reconciliation, verification, and quality assessment. The chosen approach hinges on factors such as data volume and the complexity of requirements. If these factors increase, the option to select different products designed for specific tasks becomes viable and can be explored further.

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

The solution gives us the visual features on how the quality is because back in few years or back some time ago. So it was, like, always a kind of hidden thing because, as a part of the data governance, we do have a lot of data dumped in the data warehouse. But relaying we have been just relying on the data warehouse. So we didn't know, like, it is really giving us the powerful insight, or it is really giving our quality data because it could be junk or anything. So, in that case, at least this solution definitely gives us the strength with the visualization part, which gives us, "Okay, these are the different types of data it exists and data. These are the different qualities where it can improve the quality." 

We use the solution for ETL purposes. 

Informatica Business Process Manager is easy to use and learn. 

I need to have some insight into the tool's cloud capabilities. 

I have been using the solution for four to five years. 

The solution is fairly stable. 

The product is scalable and my company has 20-25 users for it. 

The tool's support is excellent. 

Informatica Business Process Manager's setup was easy and fast. 

Informatica Business Process Manager is very good and I would rate it a ten out of ten.