Informatica Intelligent Data Management Cloud (IDMC) Reviews

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.

The flexibility to interact with many different sources and targets like Oracle, MySQL , Flat Files, Informix, SAP thru PowerExchange, applying different transformations that you can configure in an intuitive way, gives both business and IT teams the opportunity to track the data lineage and also to provide value to the data workflows you create, integrated to feed the MDM solution together with Data Quality processes.

The portability to use your integration flows into MDM and Data Quality helps to improve the data stewardship and also provides value for the metadata management you can take advantage of to document your business rules while interacting with different business data.

The product ranking we provide is 8 out of 10 -- because there are parts of connectivity with SAP Non-Unicode that are not supported by Informatica, since they only provide connectors to write on SAP Unicode. Then, we had to develop and enable the connectivity to write into SAP Non-Unicode.

Mainly, MDM requires improvement when you need to migrate your version to a later one -- because it is very difficult and takes a lot of time to convert the processes you have already developed and implemented on a previous version, and can cause a need to rework the processes.

We've been using the Informatica Solution for Data Integration and Data Quality for 12 years. We've been using MDM for seven years.

Sometimes the IDD console connectivity.

The difference between components and functionality from one version to the immediate latest one.

It is good, however response time is always depending on the support contract you acquire.

SAP MDG. At that point in time, it was not prepared to provide flexible integration and data quality process to generate a 360 view.

The initial setup was kind of complex while polishing the business requirements to be translated into technical flows.

I recommend reviewing and assessing the volume of data you will incorporate into the MDM, because the pricing seems to be based on row count used at the MDM Entities you built.

Yes -- SAP MDG and IBM MDM .

First, you need to assess the status quo of data integration and data quality at your organization, then, after you settle these strategies and implement the solutions, it is advisable to go for MDM.

If you do it the other way around, it will cause a lot of headaches and will cost you many more resources, time, and overall creditability to generate value beyond just results.

It is a cloud-based solution. This means it has no complex software nor does the startup need to be installed. However, a cloud agent is required.

Like most cloud-based solutions, it is easy to share with others. For example, let's say I am working on a site and decide to hand-off to another team member. He can essentially pick up where I left off, provided that he has the same set of files.

Informatica goes down for maintenance quite a lot due to the upgrades. They also need to improve their security. As an administrator, I could very easily make connections to other people's machines through their agent without their knowledge.

I have used this solution for two years.

There were no stability issues.

There is a slowdown when using the mapping feature. This may be due to the processor's speed or may be a result of the complexity of the browser.

I would give the technical support a rating of 9/10. They are very good, once they are aware of the issues. However, sometimes we need to fill out multiple help desk tickets and give them reminders in order to get an active response.

We are partners with a number of different companies. This is the first cloud-based solution. It serves the client's needs well, as the solution is not overly complex, such as during replication between different databases or systems.

The setup was very straightforward. Once the agent is installed, you can then be up and running.

We work with Informatica to establish the pricing and licensing fees. I personally have not sold this product to clients, but I have been involved with presales and demos.

We chose to be Informatica partners, so we just ended up with this version.

Understand the needs of your organization. I strongly advise an understanding of the Informatica PowerCenter, so as to achieve the full effectiveness of this tool.

For simple replication, it works well. However, there are some other free tools that can also do the trick of replication just as nicely.

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.

We primarily use the solution for data integration, management, and more recently, data cataloging in the lineage.

It's great as a unified enterprise data management platform. It's useful for cross-platform functionality.

The solution is stable.

The product is scalable and excellent for enterprise-level organizations.

Technical support has been good.

Cost-wise, it could be better. Informatica has a bit steep upfront cost. Upfront, it requires upfront investments. Many models of Informatica still require licenses. I would really like to see Informatica moving more and more into pay as you go model, so to move completely from CapEx to OpEx.

I've personally used the solution for many years. 

The product is stable. They've been on the market for many years. They're key industry players.

Everything is scalable nowadays,

Normally, I wouldn't offer Informatica for small clients - small or medium enterprises. It's an enterprise-grade solution. We are talking about many, many users.

I have some experience with technical support and found them to be good enough.

We've used a combination of different solutions.

Informatica is really versatile, robust solution. That said, there are competitors on different levels for Informatica. For example, for MDM, master data management, Prophecy, would be good, for example.

Normally, if you implement a complex solution, not only the data integration model of Informatica, like PowerCenter, and more of a complex solution, like an enterprise data management platform, it's a multifaceted, multi-phase approach.

The deployment depends on the client's requirements, however, normally, I would say it's something that we would be planning for as a baseline for around one year, or maybe 10 to 12 months.

The deployment itself is never on-premises. It's public cloud mostly. Informatica can be deployed on Azure, on Amazon, and on the Informatica cloud as well.

Maintenance can be really straightforward if it's only one model like data integration. Maybe a few guys would handle it. However, if it's a complex enterprise-level implementation, again, enterprise data management platform with multiple components, multiple integrations between them and with the legacy stack on the premises, off-premises, then it's a big, and maintenance can require ten to 12 people. 

We are an integrator for Informatica. We can help clients deploy it.

I'm not measuring ROI due to the specifics of my job. With what I'm doing, I'm not measuring ROI.

I work as a director in a consulting company. We don't implement it. We implement it for our clients. We don't implement it internally.

I recommended the solution only for particular use cases. For example, let's say if you have a simple use case just simply integrating data, it would probably not be my first choice, Informatica. However, if it's an enterprise-grade implementation of a data platform, a data management platform for creating data from A to Z, then this is a perfect option.

I'd give the solution a solid none out of ten rating.

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.