Informatica Intelligent Data Management Cloud (IDMC) Reviews

We use it to take data from one source to another.

It's a subscription service. It's in Informatica's cloud, and because we have the cloud version, we are up to date in terms of its version.

We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors.

Its pricing model can be improved. The response time from technical support can also be improved.

I have been using this solution for a little over three years.

It is very stable.

It is easily scalable.

It is not great, but it is good. Sometimes, they take a lot of time to respond.

It was really easy to set up the product.

Its pricing model can be improved.

I would recommend this product. From a technical point of view, it's a great product. It's very user-friendly. It's really easy to create integrations, and it's very stable.

I would rate it a nine out of ten.

The use case for Informatica Cloud APi and App Integration is creating service connectors or integrating applications using API calls or REST services. We interconnect different applications and can extend functionality of that integration using APIs in order to connect with third-party applications. We are partners with Informatica. 

The most valuable feature for me is the easy interface; it has a great look and feel, and the functionality is so easy. The friendly interface means we can easily create applications and integration processes to interconnect different applications.

I'd like to see a change in Informatica's pricing model. It's a common issue with Informatica in their cloud offerings. 

The solution is scalable and stable. 

The support process is good and similar to the support offered for all Informatica solutions. We have access to the portal and raise a ticket when we need to. 

The initial setup is straightforward and part of the Informatica Cloud Data Management service.

As mentioned, the pricing model needs to be improved but maintenance and deployment are included in the cost. 

I recommend this solution and rate it nine out of 10. 

The primary use case of Informatica Cloud Data Management is to process data. In Informatica Cloud Data Management, you are in a portal where you can pick up the functionality you need to leverage and work with your data.

One of the most valuable features is that I don't need to buy a subscription for any functionality. With Informatica Cloud Data Management, I have all the functionality and features available. If I need to make an integration, I can go to that integration service. If I need to mask, provide, or clean some information, I can easily just pick up that feature and use it. It's very simple, and I have all the functions and capabilities I need to work with data. 

For example, you have data integration, data profiling, data quality, data governance, MGM, etc. You have an enterprise data catalog where you can build a central repository of all the audio, knowledge of technical data sets, or technical data assets from your company, as well as do semantic searches. 

One thing Informatica could improve is the way IPUs are used. Each customer purchases a certain amount of IPUs per month, but you can use more or less than that defined quantity. The only problem is if you don't use the all your IPUs, they don't carry over into the next month. I think customers should have the ability to transfer unused IPUs into the next month or year. This improvement could help give customers more flexibility, especially since cloud solutions need flexibility in how we use and pay for them. 

There are some features from on-premises versions of this solution that are not yet available in the cloud version. I think this is part of the roadmap that Informatica is executing for this portfolio, so not all the functionalities are ready for the cloud version of this solution. I'm sure it's just a matter of time because I know that they will be available next year. 

This solution offers the stability and uptime you need, which you can't get in on-premises installation. Informatica has a subscription-based service that can take care of maintenance, so it's easy to maintain. 

Because this is a cloud solution, it offers elasticity and scalability. 

Informatica's technical support is great, probably one of the best. Informatica has a service where you can request maintenance through their support portal. You can create tickets for any incidents or questions. Response time depends on SLA, service level argument, and can range from one hour to four hours to three days. There are different levels of support.

This is a cloud solution, so there is no setup. You pay as you go. If we need to get some information from an on-premises environment, we implement a Secure Agent. We install the agent in a virtual machine, set up the connectors to the on-premises source, and you can work with your data on the cloud. The setup process of this company is so easy because it has four steps, and then the component is up and running. It's not complicated to implement, it's very easy. 

I implemented through an in-house team. 

You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go. 

I rate this solution a nine out of ten. If you are considering implementing Informatica, make sure you have a clearly planned approach to the cloud solution you want. Compared to on-premises solutions, there are some different capabilities you need to leverage when working in the cloud because it's a different world. You are capable of much more. You have access to all the data center servers, so you don't have to worry about memory, processing, or storage. You don't have to worry about using all your resources as efficiently because there will always have a server you can use. 

The solution is typically a bridge between business and IT. You use Axion as a tool for governance within the organization. The business people could use this tool to understand what information is being entered by IT. For example, if I'm an IT guy and if I'm using something called a column name or a table name which could be pretty technical out there, I just say, for example, BT_DT. I understand what BT_DT is, which, in this case, is birth date. That's the table name. However, the business side wouldn't really understand this. Therefore, I could actually tag BT_DT as birth date in Axon and I could relate it to this particular column and then the business side can use it from there. 

Apart from that, you could define your data governance policies, your workflows, who's going to approve the data, who's going to use the data, and who should be consuming it. It can assure that data shouldn't get out of certain boundaries. 

What I like about Axon is that typically, with all tools, you will find that there are certain limitations when it comes to the user level. However, with Axon, the limitations are not there. You could have certain people getting into Axon and things like reading, writing, or editing the policies. However, apart from those people, everyone else in the organization can still view it, so it's not restricted. There are certain people who could just edit the tool or administer the tool. That said, everyone in the organization can view what is actually happening and what they could benefit from it. That's how collaborative data governance comes into the picture with Axon. 

It has got nice integrated quality dashboards as well. 

It has the BPMN enabled or BPMN compliant workflows embedded inside it, which is great.

The solution is stable.

It doesn't need too much memory. It's being used by the business as well as the IT guys in tandem. There is something called a Marketplace that is also available. Now, when you publish something, it's is available for all the consumers out there to use within the organization. 

If I wanted to improve something, it would be the way we import or the way we design the policies. Right now, although they offer some templates, I would want more templates available to be imported.

I've been using the solution for two years or so.

The solution is very stable. there are no bugs or glitches. It doesn't crash or freeze. It's reliable. 

When you talk about scalability, this is not a very, very heavy tool. It is a tool that is typically going to fetch all the data and everything from the governance perspective. It's not actually a memory-hogging application as such.

In my previous company, there were about 100 uses on the solution.

With Informatica technical support has never been a problem. They are fantastic. If you reach out to them and raise a case, they get onto it very quickly.

We previously used an in-house solution. We did not use a different third-party solution.

The installation is okay if you follow the steps that they have provided in the guide. If a new user does that, that should be fine, however, you need a dedicated person to do that. You cannot just click through. There are various components to it. You need a specialist to do that. That said, the guides are pretty comprehensive. If you follow those, that should be fine.

In our environment, the setup was done within a day's time or a few hours - maybe four to five hours.

You need knowledge of the underlying components, such as Linux, or your big data environment, et cetera. That's where specialists can be brought in. It's recommended you take advantage of them if you can.

The license is a yearly one that can be renewed for a consecutive year. You can actually go with a three-year license as well, which will give you a better discount.

While our deployment is on-premise, you can deploy it on any cloud of your choice.

I'd rate the solution at an eight out of ten.

I would recommend the solution to other users and organizations.

Their new licensing is very flexible. With Informatica Cloud, you have plenty of items under the same umbrella, such as services, offerings, data quality, and data masking. You have also got master data management and API management. What I really like about them is that you don't need to go to Informatica and say that you need a data integration module. You would say that you need iPaaS or Informatica Cloud. They'll then try to understand your needs and give you IPUs, which are the processing units. If I purchased a hundred IPUs from Informatica as a customer, I can use 70 IPUs for data integration. I would also need data quality, so I can use 10 IPUs for data quality. I can use the remaining 20 IPUs for API management. Down the line, if I see that my initial data integration needs for the development phase are met, then out of the 70 IPUs assigned for data integration, I can use 30 IPUs for data masking. I can shuffle these numbers in any way within the Informatica Cloud umbrella for the tenure for which I have subscribed to these IPUs. I can use all services the way I want. This flexibility is what I really love about Informatica. It also has got good connectors.

The regions in which the data resides are still limited. This could be an issue in terms of the data residency laws of some of the countries. They should get more regions.

I have been using this solution for roughly three or four years, but overall, I have around 12 or 13 years of experience in data integration. It is a cloud solution, and it is managed by Informatica. We are always on its latest version.

It has been stable for us. I haven't seen any issues. They provide the upgrades and patches in a timely manner. We don't even realize that the patch has been applied. 

This is not a traditional cloud like AWS and Azure, which offer virtual machines, data storage, and compute power. With Informatica cloud, this is not the offering. You need to understand the offering. They are offering a data integration service. The scalability context here would be from the services aspect. If you want to have more data integration, you can do it instantly the way you want. You will be charged if it is beyond your subscription. They also have data quality and all the data management tools.

Its initial setup is pretty straightforward and not at all time-consuming. They just offer one simple software that communicates on your local system. You have to enter the org IDs, etc. It also doesn't require a lot of hardware.

I would definitely recommend this solution. It is definitely worth a try, and you will definitely benefit from it and see the value of implementing it in your organization. They are a leader in the Gartner Quadrants. The offerings that these guys are giving with the new licensing model, such as IPUs consumption, are excellent. You don't need to worry about what do you want to purchase. You just need to worry about the number of IPUs that you need to purchase. You can shuffle around all types of services under the same umbrella.

I would rate Informatica Cloud Data Integration an eight out of ten. It loses two points because of the region limitations.

We are using it for extraction purposes for some of our projects. We extract and test the data. 

It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. 

It is working fine. It is also stable, scalable, and easy to deploy.

It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it. 

We have been using this solution for the past three or four years.

It is stable.

It is scalable. We have ten engineers who use it. 

We are getting better support with PowerCenter. Informatica Data Quality was developed later, and its support is not up to that level, but it is fine.

We didn't use any other solution.

Its initial setup is straightforward. We just need to create data integration services. The deployment generally takes up to three hours, but it can take longer depending on the nodes.

I did it myself.

I would recommend this solution. We have a long term license, and we plan to keep using it.

I would rate Informatica Data Quality a seven out of ten.

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.