Informatica Intelligent Data Management Cloud (IDMC) Reviews

We primarily use the solution for tasks such as masking. It's used to mask the customer data.

We are using end-to-end features of Informatica. Everything comes under the product. We really like that the solution is part of a bigger use case that can all be under one umbrella system.

There are new features that are being built to help more closely link all of the solutions we use, and we like that they are always thinking about how each product interplays with the other.

We've used the solution for quite some time, so in our organization, the product is pretty mature.

There are lots of use cases surrounding the use of the product.

The integration could be a bit better. The process is something new. 

They need to include more documentation and support around the build.

It's my understanding that they are currently fixing quite a bit and building in updated capabilities in the upcoming version. We'll have to see what that looks like.

The general design of the resolution could simply be tweaked a bit.

I've been working with the solution for five or six years at this point. It's been quite a while.

We've worked on both the Windows and Linux platforms and have not had any issues with stability. It's been very good in both cases, and we have not faced any errors. There are no bugs and glitches. It doesn't crash.

We have 100 user licenses and we are using them in real-time. We work with an Indian bank that often requires more users. We can implement MDM to accommodate their needs at any given time.

I've worked with support from Oracle and a few other vendors, so I can compare it to those experiences. When I compare with other vendors, Informatica support is better, feedback-wise. Their documentation is great. They are very responsive to their customer base and very quick to respond to inquiries. We're very satisfied with their level of service.

I don't really have experience with other solutions. I only really know MDM.

The initial set up's complexity or simplicity depends on the requirements of the organization. Some have simpler implementation cases. Others are more complex. I would say for the simple to medium cases, the installation and deployment is very straightforward. 

When it comes to bigger builds, we need to be a bit careful in order to configure a few more settings to make it work properly. In general, the solution has simple to medium level complexity during the set up process.

The time for development usually takes a few days. It does depend on who is setting everything up. If you are well informed on the solution, the deployment process itself may only be a few hours. For a downtime point of view, you don't have too much time between products. Depending on when you do it, you can have 0% downtime as well, however, it would need to be strategically planned.

The solution has a couple of pricing models. You can go via can go a number of records, number of CPU, and various other items. I don't know what current model we follow. 

My experience on pricing is maybe four to five years old. I don't know what the current model is based on in our organization.

Although we're on version 10.3, we're working to move over to 10.4 soon. We're about to upgrade.

If you look at the Gartner quadrant, MDM is the top product. There are a few platforms available, however, I don't have good experience with other products in order to compare and to recommend. From my personal point of view, definitely I would recommend MDM.

I'd rate the solution seven out of ten. We're still testing a few capabilities that the solution provides, however, we aren't using them yet. We do plan to implement them in the future. Since we aren't extensively using the core features, I'm not giving them a higher score. We need to see how things progress.

I use the solution in my company for data ingestion and the ETL process. Though in our company, we started to use the product for data cataloging, we still use it for ETL and data integration.

Informatica Enterprise Data Lake is a product that was recommended to our company after we got in touch with various product vendors, and all of them suggested that Informatica is the best in the market, especially as per Gartner's report. A lot of reports were available for the product around five or six years ago, which was before our company decided to use Informatica Enterprise Data Lake. Informatica Enterprise Data Lake is probably the right fit for our infrastructure.

Governance, data dictionary, and data cataloging are not available in Informatica Enterprise Data Lake. A lot of businesses are facing issues related to understanding the area revolving around insights of data.

At Informatica Enterprise Data Lake's level, in our company, we have a lot of redundant data in a lot of our core systems. The basic thing that our company wants is for the product to develop a reporting layer and access data from the document layer so that we can avoid duplication in projects, databases, and data.

There is a lot of maintenance to be done owing to the instability users may face every time because of the huge processing capacity as the company has around more than 50 nodes, which causes a lot of maintenance issues because of which a lot of people don't benefit from the platform as it functions in a slow manner.

Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems. Every time, we have to find different tools we can use in our company with the solution since it doesn't support many real-time systems. Even if our company invests in some tools, Informatica Enterprise Data Lake creates too many small files with some issues, which we cannot read because we invested in HBase and Kudu, but performance-wise, the process is slow.

I have been using Informatica Enterprise Data Lake for four to five years.

The area revolving around the stability of the product depends on how we have set up the clusters in our company. In our company, if we consider high availability tools for every service, we distribute services according to multiple racks and nodes, meaning we self-structure them to fix the issues.

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

It is a scalable solution. If you want to expand the tool, it's not a big task, but there is a need to procure the hardware and space in Cloudera, where our has stored Informatica Enterprise Data Lake. The process of using the tool's scalability option is well documented.

Scalability-wise, I rate the solution an eight to nine out of ten.
Considering so many dashboards built into the product, more than 100 users of the solution. The tool's reporting layer is also used in our company.

I have experience with the solution's technical support. The solution provided by the support team for the product is fine, but there is some time delay when it comes to certain issues. The support takes time to review the logs and get a solution, meaning the support is able to resolve the issues even though it takes time.

I rate the technical support a six to seven out of ten.

Neutral

My company uses Informatica EDC for cataloging along with Informatica Analyst.

The solution is deployed on an on-premises model.

The product's deployment phase was carried out with the help of some professional services, but it was not with the help of a third-party professional service. My company could manage migrations and upgrades with our own in-house support team.

The licenses attached to the solution are highly priced. Informatica has licensing models for every product and for every feature, like the web service feature, which is something my company doesn't like. When our company buys a product, it should come with all these features. I would give the product a low rating in the area of pricing.

I rate the overall tool a seven out of ten.

I mainly use it for data management.

It's for tool management, maintaining the golden record of customer status.

Data integration should be improved. Another area of improvement is customer applications, along with business 365 application case integration between applications.

I have been using this solution for three years now. I work with the latest update.

I would rate the stability a six out of ten. There is room for improvement in the stability.

I would rate the scalability of the solution an eight out of ten. There are currently nine end users in my team. There might be more people in the company. 

Recently, Informatica MDM upgraded, it transitioned from its traditional on-premise MDM offerings to a cloud-based platform called Informatica Intelligent Cloud Services (IICS). So, we are not planning to expand its further usage.

The customer support and service are helpful. 

Neutral

I would rate my experience with the initial setup an eight out of ten, where one is difficult, and ten is easy. 

It is very easy to set up. However, the deployment time depends on the configuration. It can take 10 to 15 minutes.

The pricing is reasonable.

The users should have more training on Informatica MDM, especially practical training. The vendor should provide some practical training.

Overall, I would rate the solution 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.

We use the product for building static and automatic data lineages.

It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen. Additionally, they should add AI features and the capability to provide data streaming insights.

We have been using Informatica Enterprise Data Catalog for two and a half years.

The product seems stable enough.

We have 30 Informatica Enterprise Data Catalog users in our organization.

The product requires maintenance.

I advise others to understand their business use cases. I rate Informatica Enterprise Data Catalog a three out of ten.

We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization.

We have implemented both data profiling and data quality transformations for data validation. These are the two major components we rely on, with data profiling helping us understand the data's characteristics, and data quality transformations ensuring data validation.

Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling. Many other tools offer this feature, enabling them to suggest rules, which can be generated with just one or two clicks.

I have been working with it for almost seven years.

Once it was implemented, we din not encounter any stability issues. I would rate it nine out of ten.

The scalability of the solution depends heavily on the design approach. Regardless of the tool used, the effectiveness of the data quality framework hinges on proper design. If the framework is not well-designed, it may not deliver the desired results. I would rate it eight out of ten.

We receive excellent support on a priority basis. I would rate it nine out of ten.

Positive

I would rate the installation and configuration process as moderately complex.

If it has been implemented effectively, I would say it is the best solution. When considering the use of the data governance package, combining Axon ADC and Informatica Data Quality together provides a comprehensive approach. I would rate it eight out of ten.

We use the solution for mass data management. 

The tool's most valuable feature is bulk upload. We upload files in CSV or Excel format. 

Informatica Axon needs to improve its interface. 

I have been working with the solution for three years. 

Informatica Axon's support is good. 

Positive

I rate the product an eight out of ten. 

I would like to have the solution in one product and technical support needs to be better. 

The product is stable. 

The solution is scalable. 

Informatica Axon is easy to deploy and takes six months to install. We would need five people for the solution's deployment. 

Informatica Axon is expensive. 

I wouldn't recommend the tool to small companies due to price and integration. I would rate the tool a seven out of ten. 

We use Informatica Cloud Data Integration for data integration and building data pipelines.

It is one of the best tools available for data integration.

Though it is a robust tool, the cloud version could be better in terms of pricing. 

It is a stable solution.

It is a scalable product and works better than other cloud solutions. It is extensively used by 15 users in our organization. We have plans to increase the usage.

The product's technical support team is helpful and responsive.

The product's deployment process is easy. It requires two system engineers to support our consultant in setting up the environment. They have to consider how to connect it to an ecosystem of other tools, databases, and data sources.

The product generates a return on investment. It speeds up the development process.

The product is highly-priced.

I recommend Informatica Cloud Data Integration to others. It is user-friendly and supports connectivity to almost all devices. It has great technical support services as well.

I rate it an eight out of ten.

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

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

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

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

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

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

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

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

I rate the solution an eight out of ten.