Informatica Intelligent Data Management Cloud (IDMC) Reviews

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.

The product is used for data governance. It's a tool for data governance, a technical metadata dictionary, and a data lineage repository.

So far, we have been pleased with its capabilities. 

It has a wide coverage of technologies. 

The solution scales well.

It is stable and reliable. 

The technical support has been helpful.

The initial setup is very, very difficult. 

The solution is quite expensive. 

I would like them to extend the coverage to other technologies like web services and programming languages.

I've been using the solution for six months. 

It is stable, and it is reliable. The performance is good. We haven't dealt with bugs or glitches. It doesn't crash or freeze. 

We can scale the product.

We have about 50 users on the solution right now. It's not used too extensively just yet. It will be in the future, however. We do also have plans to increase usage. 

We've used technical support previously and found them to be quite good. We are satisfied with the level of support we can get. 

Positive

We did not previously use a different solution. 

The initial setup is not straightforward. We found it to be quite difficult. It took us about two weeks to deploy it.

We have ten people that can handle deployment and maintenance tasks, including a team leader and project manager. 

The implementation can be done in-house with a lot of effort.

I'm not sure of the exact cost, however, the range is in the hundreds of thousands of dollars. It's very expensive. 

I'm not an experienced user of it. I used it in workshops, and I use other Informatica products, so I have some relevant knowledge.

I deal with the latest version of the solution. 

I'd rate the product nine out of ten and can recommend it to others to use. 

We are resellers.

It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades. Informatica is in charge of all those things. Additionally, the SLA on the cloud is better.

Not all transformations are supported, unlike PowerCenter. However, I'm confident that they will include this in the roadmap.

I have over 15 years of experience working with Informatica tools, and we have worked with Informatica Cloud Data Integration in the last 12 months.

The installation is simple because it is on the cloud.

It is dependent on the number of jobs you have and so on. However, from a skill set standpoint, you only need one person to maintain this solution. You can also play a developer or administrator role. These are fairly straightforward roles with a lot of community support.

I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same.

It is dependent on the requirements. If the transformation requirements are not too complex, I believe they can use the Cloud. However, if they have too many application systems to connect to, or too many databases, and require richer transformation capabilities, they can use PowerCenter.

We have a partnership with Informatica.

I would Informatica Cloud Data Integration an eight out of ten.

I like the number of options that are presented with Informatica, fuzzy matching, and your screen. I feel the screen or the configuration is pretty easy and pretty straightforward. To learn or to ramp up is also pretty straightforward.

They have too many diversified products. If you don't know Informatica, it's very confusing and feels very idiotic. If you want data quality, they have one tool. For management, they have another tool. If you say MBM, they have a tool, and they have another tool to get something up. From a split tools perspective, it's confusing for a new user and somebody who doesn't understand Informatica. 

They say they provide support, but it's not easy for somebody reading and didn't use Informatica before. The price could also be better.

I've been using Informatica MDM for 12 years. 

It's pretty stable.

Scalability depends on what you choose and how we will do it. If you don't know things, things get complicated.

It starts pretty well, but it takes time. I would give technical support only a six or seven out of 10. I won't say it's like "wow" kind of stuff.

I have been using it for a long time, so it's pretty straightforward for us. I don't know if it was complex earlier. What we're doing is technically complex, and there's always room for improvement. 

We implemented it. You need two or three people to install it, then it's easy, and one person can maintain it.

It's pretty high for us. It's more on the higher side, like low to middle high.

I would tell new users that even though you feel it's pricey, there are a lot of options that come by default. They have to understand that they have to choose somebody who understands the product very well.

On a scale from one to ten, I would give Informatica MDM an eight.

We use the solution for cloud-to-cloud migration so our clients have all applications and data on their Oracle solutions, and we move it from there to AWS cloud and then to Salesforce. We're an implementation partner with Informatica and I'm the senior technical architect in the company. 

The connectivity and their whole suite are valuable features. Whether we need data cleansing or data mastering, we get it all in one platform. There's no need to test different cloud vendors and then integrate with one solution. Informatica is a one-stop shop.

The one thing that I think could be improved is connectivity with the Salesforce because if you're loading a huge amount of data, whatever optimization is carried out, takes some time and it could be a little faster. 

I've been using this solution for a year. 

We had some very minor issues initially, but the product is stable. We haven't experienced any down time. 

We've just completed the first part of the implementation. In the upcoming months we plan to carry out multiple implementations and then we might see some challenges in the scalability. I think it will be fine. I have about 35 users in my team - around 40% are developers, 30% are testers and QAs and then a few are designers, data modelers, and architects.

The way we carried out our transformation was throwing some junk value as an output and that meant we had to reach out to Informatica to see what kind of configuration changes might be required. They were pretty quick to respond and knowledgeable about the issue, and dealt with it very well. 

The initial setup was very simple and took a couple of days. AWS provided everything for us. 

We initially wanted to build the programming language in Python but the client's needs made us realize that Informatica was the way to go. Our initial design was something different and it was the cost that put us off going with Informatica as a first choice. If we had worked with something like Python, it could possibly have been more scalable and the cost reduced.

If cost is not a issue then I would recommend Informatica as the tool of choice. 

I would rate this product an eight out of 10. 

We have a lot of applications with different functionality. We use Informatica mainly for sensitivity tests. 

The most valuable features are the structure masking and platform masking. 

I also like that for Salesforce integration we can use Informatica Cloud. For on-premise, normally we do the SQL server database.

I don't see where it has much room for improvement. 

I have been working with this solution for the last two years. 

We have a team of 10 users on-premise. Their roles are doing the initial analysis for identification.

We don't currently have plans to increase usage. 

I would rate it a seven out of ten. 

It's not a perfect ten because the data discovery isn't that good yet for Salesforce. We have another tool that we use for this. It may be a problem because Salesforce on the cloud. 

We use this solution for data quality management.

We have matured as an organization with regards to better quality management, and we have evolved over time. This solution has had a positive impact on our efficiency, especially with regard to finance officers. They rely on the quality of data for customers and vendors so that they can invoice properly.

From a sales point of view, there are also improvements.

The most valuable feature of this solution is data profiling. We are able to set rules, establish a data quality management platform, and monitor the quality. These features are excellent.

I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are. You should be able to better visualize data quality.

This solution is stable.

The technical support for this solution is good. They have a good mechanism for support and I haven't experienced any problem with it.

Prior to using this solution, we did not use a dedicated product for data quality. Rather, we used a combination of other products. One of these was CranSoft, by BackOffice Associates.

We switched because this product was quite immature, not covering the governance part of it. It was more for data quality, only. 

The initial setup of this solution is pretty much straightforward.

The deployment should not be complex, although there are other factors that influence the time it takes to complete.

The suitability of this solution depends on your environment. If you need large scale data quality and rely heavily on different connections to ge the data, then you really need a good powerhouse and this is the best. But, for example, if you already have SAP in your organization then you may not need IDQ on top of it. There are different factors to consider.

This is a good solution, but I can't say that you can solve all of the problems using it. Informatica is focusing only on master data quality. In this regard, there is room for improvement, but it depends upon the use case.

I would rate this solution an eight out of ten.

• Data Replication Tasks: Easy to configure, for the most part reliable, and also what my system deals with the most.
• REST API: Excellent for scripting control and reporting mechanisms

Ease of use, configurability, maintainability, and good aesthetics make for a more fluid functional process.

User/group administration could use improvement.

I have been using this solution for 15 months.

No stability issues as of yet.

The REST API could have the ability to generate tasks, and certain manual functions like updating/deleting data replication tasks could come with a bulk update option somehow.

I would give technical support a rating of 10/10. They are just incredible.

I inherited this solution in its infancy, but I don't have the details.

The setup was straightforward.

Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful.

I did not evaluate any alternative solutions.

Pose any and every question/doubt/concern to the team, especially with respect to licensing. They are excellent in their communication.