Informatica Cloud Data Integration Reviews

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.

Our primary use case for this solution is managing different environments. We have some applications on our site and some applications on the cloud so we use Informatica to integrate everything.

When we use Informatica, we have a complete global vision of our clouds and the local application data and that is very important for us.

One area that needs to improve is the user experience because it is very complex. The trial version is very complex so it's not easy to start using the program immediately. You must study the rules first. 

The program is very stable and more complex than other solutions.

When it comes to network tests, the solution is very scalable. 

The technical support is great and the team is very resourceful and helpful.

I found the initial setup rather complex and difficult. Our first project took about a month to deploy. The program is very powerful and it has many features. In order to understand everything and to know what each feature does, is rather complex. As system administrators, we used people from TCS, Tata Consultants, to help us with the deployment. We currently use two people for deployment, to create a standard blueprint, and two people for maintenance. 

We did look at another solution but it is very complex. Although it is a fast solution, it doesn't have the same level of power as Informatica.

My advice would be to maintain the program as it is very powerful. I rate this solution a seven out of ten. Not a ten because of the complexness.

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.

• 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.

We use Informatica Cloud Data Integration mainly for monthly mapping tasks. We work with it on cloud because we help customers to use the solution and to integrate it on their database and on their information systems.

The features I find most valuable is the synchronization, verification, functionalities and all the data integration features. I have been academically trained and earned the Cloud Academy badges 101 and 201. Currently, I am training to use this solution in real-time.

It's very easy to develop with the solution whenever we have an evolution for the data integration. Perhaps the web services need to improve because when you create a new data file and add some changes, we must edit it and create a web service transformation again. So, in my opinion, the functionality is bad and it needs to improve to make web service transformation better and easier.

I have developed a good relationship with the technical team and they usually assist me immediately whenever I have an issue.

On a scale from one to ten, I rate this solution an eight. I haven't seen the functionalities of this tool yet. The data quality is good but I still need to test the B2B gateway of the data quality. I would like to have profiling functionalities and quality transformations in the cloud so that I can directly integrate quality transformations inside the cloud. In the next version, I would like to have more tools for monitoring and perhaps also a system dashboard on our homepage.

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 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 use the solution for Salesforce data integration, multi-cloud approaches and processing bottlenecks. We deploy the solution in a hybrid format.

The serverless capability and the packaging application of the solution are valuable, as all tools come with the solution and do not require additional license purchases.

Although the solution seems complete currently, it could be improved by including a buffer that saves data when there is a connectivity issue.

We have been using the solution for a year and a half and are currently using the latest version.

The solution is very stable.

The solution is scalable.

The initial setup is straightforward. It takes a couple of days, but for migration, if you have to move over the code from one tool to another, it takes a lot of time.

I rate the solution an eight out of ten. The solution is good but can be improved by a buffer that saves data when there is a connectivity issue. I recommend the solution because it has existed for a long time, and a lot of people already understand the tool. Additionally, the learning curve is effortless compared to the other tools.