Informatica Intelligent Data Management Cloud (IDMC) Reviews

The features that I have found most valuable are, first of all, that it comes as part of this whole bundle of Informatica tools. So if you've been implementing Informatica MDM across a business, you'd often find it comes with it. It's been thrown in as a sweetener. The adoption of it is often the challenge because as part of your MDM project, governance is seen as something beyond the MDM and is often restrictive. So this tool actually, for the first time, when you talk to data governance teams, gives a holistic view of what a data governance team can do with this tool.

Collecting a knowledge repository, creating a business glossary and visualizing the data lineage are quite fundamental as part of your data governance team's work. Once they see it in Axon, it becomes relatively easy for them to visualize what they have to do. Otherwise, it is often a challenge for them to grasp what their role is and what are they supposed to do. Informatica Axon provides that visualization which helps a lot.

In terms of what could be improved, they need to create a rules repository. Business rules for the attributes that you have, keeping them in that central repository, and governance of them is something which Axon is lacking a bit. The Informatica Data Quality tool actually caters to that, so that's probably why they have not built that up in the Axon, but it is definitely something that can be built in to this product, as well.

I have been using Informatica Axon for about four years.

Informatica Axon is stable.

Informatica Axon is scalable.

I have had experience with their technical support. It is definitely there, as in it's quite robust and is a mature tool. You do get enough technical support from Infomatica while implementing it.

The initial setup is purely straightforward.

In terms of price, Informatica products are all a bit pricier than the rest of the market. But if you want to go for products from that stable, I think you'll have to pay a price.

If you have an Informatica installation already, be it IDQ or Informatica MDM, then Axon is the right choice. It's a no-brainer to have Axon.

On a scale of one to ten, I would give Informatica Axon an eight.

We use Data Quality for healthcare projects, and although it's not its prime purpose, we also use it to extract data. Compared to PowerCenter, it's a little easier to use — we designed the mapping ourselves. In short, we use Data Quality primarily for extraction purposes.

Within our organization, there are 10 employees using this solution.

Seeing the data in the mapping itself is really nice. We don't want to extract the data and just see the flat file. With Data Quality, we can see the data very easily.

When running a workload, we can only use the command mode. We were expecting Data Quality to offer the same type of workflow as PowerCenter.  

Although we are very satisfied with the design of the UI, executing tasks with it can be difficult.

We have been using Informatica Data Quality for three years. 

Overall, stability-wise, it's quite good; however, we think PowerCenter is more stable.

Compared to PowerCenter, Data Quality needs some improvement. When we are dealing with large amounts of data for extraction purposes, it doesn't always work out — often we experience some memory issues here and there. Scalability-wise it needs some improvement.

Although the technical support is responsive, they often take a very long time to solve our issues. They are quick to solve second and third-level requests, but when it comes to first-level requests, their solutions become very vague and general and often don't bear any fruit — otherwise, they're good.

Deployment was quite straightforward. 

We have a long-term license. I can't really speak about the licensing as I don't know much about it.

I would absolutely recommend this solution to others. If you can afford it, then go for it. If it's out of your price range, then I would recommend considering an open-source solution.

overall, on a scale from one to ten, I would give this solution a rating of eight.

The user interface is good.

The solution's initial setup is quite straightforward.

I haven't had too much time with the solution. There may be much to be improved. However, I still need time with it.

There may be some types of limitations with the performance.

I've been using the solution for a couple of weeks. It hasn't been too long.

The solution is quite stable. We do not have any issues with it crashing and there are not bugs or glitches.

The solution is very scalable. If a company needs to expand it, it should not face any issues doing so.

I am not sure how many users are actually on the solution in our organization.

We will be continuing to use the solution.

We have dealt with technical support and they are very good. We are quite satisfied with their level of service.

We did previously use another solution.

The initial setup is not complex. The implementation is quite straightforward, actually.

As a cloud solution, the deployment doesn't take too long.

I handled the implementation and deployment myself.

I'm not sure what the licensing is for the solution.

We're just a customer. We don't have a business relationship with Informatica.

We're using the latest version of the solution.

I'd recommend the solution to others. Overall, I'd rate the solution eight out of ten.

Our primary use case of this solution is to improve issues of security, quality and accuracy. 
We are partners of Informatica and I'm an architect. 

In terms of Data Quality, the feature most valuable to me is that the solution is applicable for both technical and business users. I like that instead of using on-premises processing power, you can now use your on-cloud platform processing power to process the data and get a faster turnaround time. From a product perspective, everything is well done. 

I think improvements can be made regarding the ability of the product to leverage the power of big data. It would also help if we could get the software as a services product so that we feed in the requirements and it's a more customized solution. I think that would increase the adoption by customers. 

I've been using this solution for three years. 

Informatica is a very stable product, I haven't had any issues with it. 

It's a very scalable solution and it has all the other big data components. 

We have a business partnership with Informatica and they are very responsive. 

I've had a lot of experience with this solution so I don't have any issues with implementation. Perhaps someone from a different background or different circumstance, may face challenges but it is user friendly so it shouldn't be a problem. Implementation generally takes about six months depending on the dimensions required. This solution cannot be implemented in a day or a week.

The pricing of this solution is definitely at the higher end and they don't provide the option of a trial version. If you look at Talend, for example, they provide a free version, so the cost of IBM and Informatica is a little high. 

The cost of the product is high, but feature wise, it provides a whole lot of features that can easily solve your problems. I would recommend this product. 

I would rate this solution an eight out of 10.

We would like to centralize all our product information systems. Currently, the product information is stored in various disparate systems, and we would like to bring it to a single place.

The staging and hierarchical features are the most valuable.

Its look and feel needs improvement. It has a lousy look and feel.

Informatica PIM is designed specifically for the retail industry. They need to make sure that it is also applicable to all the other industries and verticals.

I have been using Informatica PIM for almost two years.

It has 75% stability.

It has good scalability. Because of the cloud, we are able to expand it. Sometimes, we do run into issues, but it is mostly good.

We have around 250 to 300 users with IT, business, data governance, and DQ roles.

We haven't yet contacted them. 

We used an Oracle solution. We switched to Informatica PIM because of the licensing cost.

The initial setup was done by Informatica. We didn't face any issues.

We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry.

I would suggest to watch out. Informatica PIM is designed specifically for the retail industry. To use it for manufacturing, you need to think twice and make sure that it satisfies your business requirements. When you are asking for a free demo from Informatica, make sure that you tell your use case and ask them to configure it in a way that suits your business use case. Otherwise, it is not going to solve your problem. 

I would rate Informatica PIM a six out of ten.

I am not quite sure that the product will be part of our use cases anymore. We started off with it because of the data lineage. In other words, we used it because we also used the older Informatica program and it had been serving a purpose for us as a data management tool. But now we are in the process of developing our own solution for at least part of that functionality.  

We currently plan to keep Informatica MDM, but not for the complete handling of the data analytics. We use MDM for data gathering in big data environments. We start with Informatica and do further analysis outside the product.  

I think the most valuable part of Informatica is the flexibility in extending the data model. I think that is the biggest benefit. The data quality component is also an important part of it.  

I have begun to lose track of what needs to be improved because we only use the product now for what it is best at and in those areas it does not need improvement.  

There are two main things and that make up the complete Informatica suite solution. One is the insight into the data lineage which was a huge promise made by the product, but one that it never delivered in practice. That was the big problem that we are trying to solve in another way. The second part of the solution, especially for MDM is its ability to use the data by integrating with other process engines.  

So the insight into the data or the data analysis part needs to be improved.  

I have been using Informatica MDM (Master Data Management) for about two years now.  

Informatica has been stable. It does not have downtime during processing.  

I would say that Informatica is scalable. Right now we have about 20 people using the product directly. The scalability would be in the volume and types of data it can scan and collect and it is good at performing these services.  

With technical support, there is a big gap between sales, presales, and support for the end-users. Like with the data analysis the process starts good but in the end, there is no delivery. There are too many promises and too little delivery. So the support could be also improved after the sales, or I would say that the post-sale support should be improved to be in alignment with the pre-sale support.  

Informatica is definitely not easy to install. In order to do the installation and to set up the whole program, I would say it is complex.  

On a scale from one to ten (where one is the worst and ten is the best), if I were to rate Informatica MDM and I had a review site, I would mark it as a seven-and-a-half out of ten possible points. It has not delivered on all it has promised.  

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. 

Our primary use case is connecting to the AWS S3 buckets and AWS instances in the cloud, extracting data from on-premises, and pushing it to the cloud. I think that's a perfect use case for Informatica Cloud.

I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful. Very few tools outside of Informatica have the ability to do that.

I would like to see support for more data sources. At this point in time, I'm not sure if they are supporting Microsoft Azure or Google Cloud, but continually adding new data sources is one area that they can improve on.

The deployment could be somewhat simplified. One drawback is that you need a separate server for it. However, from an enterprise point of view, it is worth it because the product is good.

I have been using Information Cloud Data Integration for about one year.

I have had no trouble in terms of stability.

The scalability is quite good.

Informatica has a strong support team and they are very good.

The initial setup is complex. It isn't easy because it needs a separate server of its own.

My understanding is that Informatica is quite expensive compare to other tools that are available in the market.

I am a fan of Informatica and it is definitely a product that I recommend because of its inbuilt capabilities. At the same time, I would like to see more data sources added. Inclusion of support for Azure and Google Cloud would be a game-changer, wherein companies can move their analytics capabilities to the cloud instead of being on-premises.

If you have the money then you should implement it. Otherwise, there are many open-source tools in the market, although you will still have to invest quite a lot in terms of resources because the individual transformations still need to be built.

I would rate this solution an eight out of ten.