Informatica Intelligent Data Management Cloud (IDMC) Reviews

We use Informatica Cloud Data Quality for data profiling and data quality. We also use the intelligent system of Informatica, lineage, and the data catalog.

We are using Informatica to get the data profiling. For example, if we are planning data analytics or data science projects, we first plan to ingest all the data that we are planning to use in that project into Informatica. Then we check it and get the profile. We also get the catalog of the data, and then we start.

The most important benefit of the data quality product is the data quality side. When we started, the data quality level was maybe 17% for that domain. After we ingest the data into the data quality tool, it is more than 70%.

The initial setup takes approximately less than two months for one domain. It can be easier, but it also takes a lot of time on the process side, such as creating the KPIs for data quality. The system is a little bit complicated. It has too many features.

The license or pricing is an area of the cloud data quality solution that I would like to see improved or enhanced somehow.

For our plan, Informatica Cloud Data Quality is now a fit. If asking about other features that would be nice to have, the AI side can be more powerful.

If a new solution has the same features and less investment, it would be worth considering.

I have been working with Informatica Cloud Data Quality for approximately one year.

I would evaluate Informatica's technical support as good. It's more than enough.

Positive

I evaluated SAP also. Microsoft does not have a strict solution. They now have Purview, but we could not evaluate it as they didn't have a solution for the last year. We evaluated Informatica, SAP, and Erwin. We can reach the support easily in Turkey. The solution centers are good.

For one domain, the initial setup takes approximately less than two months.

I am not utilizing the data quality rules management part yet.

We had a bad experience before Informatica Cloud Data Quality. We started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model. If we have an application like Informatica Cloud Data Quality or a data quality platform, we can finish the project in less than three months.

This is the on-prem data that we ingested. We don't use any cloud data that we have. For now, we are just using the on-prem data, and we don't have any integration from the data outside of the on-prem.

I would recommend it to other users. On a scale of 1-10, I rate this solution a 9.

On-premises

We use Informatica Cloud Data Quality in a medium business environment.

The quality of the data improves with Informatica Cloud Data Quality. There is an address cleansing feature called AddressDoctor that cleanses and enhances the quality of the data. Additionally, several algorithms are available for use, such as correcting typo mistakes in the data, whether in alphanumeric, upper case, or lower case forms.

Informatica Cloud Data Quality has significant room for improvement. It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stable. There are problems with upgrades and patches that do not make sense and can negatively impact the existing code.

There are substantial stability issues with Informatica Cloud Data Quality on the cloud. The on-premise version was very stable, but on the cloud, the product experiences many issues with patches and upgrades disrupting functionality.

On a scale, scalability with this product would be rated as five or six out of ten.

I deal with technical support daily. The support is not very good; each ticket starts from scratch as there is no continuity between personnel handling the same ticket.

Neutral

From my experience, I have always used Informatica. I transitioned from the on-premise to the cloud version of the product.

Connecting to the cloud allows access to many connectors, which is a positive. However, the stability and performance remain issues. In terms of scalability and cloud connectivity, it is number one.

I am not involved in the pricing details. It appears to use a model based on usage, such as how many rows are processed.

I would rate the solution overall as five to six on the cloud. I would prefer my review to remain anonymous due to my H-1B status. The overall solution is rated as five to six out of 10.

Public Cloud

Other

I use Informatica Intelligent Cloud Services predominantly for data integration. I utilize it for building data pipelines, which is a critical aspect of my job.

The most valuable feature of Informatica Intelligent Cloud Services for me is the availability of connectors. A connector is a piece of software that allows access to specific solutions such as D365, Snowflake, and various databases. The connectors serve as the main functionality, making data integration processes more efficient by saving time and effort that would otherwise be spent accessing data via other methods like APIs.

The tool is quite good overall, but sometimes the number of modules can be overwhelming. If the development interface could be optimized to have fewer modules, it would be greatly beneficial.

I have been using Informatica Intelligent Cloud Services for a year. Before that, I operated in a different environment, and I am now fully in the cloud.

I would rate the stability of Informatica Intelligent Cloud Services as seven or eight. At the moment, everything seems fine and I don't have any issues with its stability.

I rate the scalability of Informatica Intelligent Cloud Services as eight. There are many options available, and the licensing model is quite good, supporting our needs effectively. It's quite important to maintain its current licensing model.

The customer service and support for Informatica Intelligent Cloud Services is rated as eight. My impression of their support is positive, and everything is functioning well.

Positive

Previously, my solution was not cloud-based and was hosted in our data center. However, I've now transitioned to a cloud-based approach with Informatica Intelligent Cloud Services due to its suitable licensing model.

For me, the initial setup was very easy because Informatica primarily manages that. I am not responsible for setting up anything since it is provided as Software-as-a-Service.

The developers maintain their own pipelines, job schedules, and so on. I don't require dedicated people solely for maintenance.

I haven't observed a return on investment in hard figures yet, but Informatica Intelligent Cloud Services does save me a significant amount of time.

Informatica Intelligent Cloud Services is affordable for my specific use cases, with the pricing being rated three or four on a scale where one is very cheap. The affordability may vary based on how much data is manipulated.

I evaluated a couple of options before selecting Informatica Intelligent Cloud Services. The most suitable licensing model was the deciding factor in my choice.

The overall solution is rated as eight. I plan to continue using Informatica Intelligent Cloud Services for data integration whenever required.

Public Cloud

Other

My use case is basically on the client side, in the energy sector in the US, specifically with Duke Energy, who are using AWS for the Data Lake portion.

People use Informatica Enterprise Data Lake because we can create the whole journey from data migration projects from the legacy system to AWS and to the Lake architecture, covering the entire journey from the source to the landing zone, then to the curated zone, and finally consumed by both downstream and upstream applications.

The main benefit of Informatica Enterprise Data Lake is that it allows you to use different types of data types, including blobs and storage; all types of data—structured, unstructured, and semi-structured—can exist in the Data Lake architecture, making it robust for retrieving data based on your filtration needs.

Its value is actually governed by the client, who combined with our company and AWS, so we all work together to use the workspace and all these things for Informatica Enterprise Data Lake.

Improvement depends upon how we can faster showcase our data in our reports, whether in Power BI, Tableau, or other formats. Improving the speed of data showcasing and filtration would be better, and though we can customize these aspects in Informatica Enterprise Data Lake, there's still room for enhancement.

One area for improvement could be in the integration part, making it smarter and having a plug-and-play approach, allowing users to retrieve data without needing to write the codes or manage the libraries and functions.

I have been working with Informatica Enterprise Data Lake for more than two years.

The stability of Informatica Enterprise Data Lake rates at nine out of ten.

The ability to scale rates at nine out of ten.

I am satisfied with the response time and quality of the technical support.

Positive

Data integration works effectively with AWS, including governance, as we run data governance tools from Collibra.

The initial setup for Informatica Enterprise Data Lake is a combination of both simple and complex elements.

While the machine learning features are available, I am not using these features. My focus is on the legacy system model to the modern model in the Studio, understanding the data flow and the data lineage, and how we can visualize our data with minimal changes, with models in the relational database.

Informatica Enterprise Data Lake is both time-saving and cost-saving to use.

Informatica Enterprise Data Lake's cost is higher, but it provides good value for the price. It comes at a reasonable price, which I would rate at eight out of ten.

Some IBM tools can be seen as competitors, but from my perspective, Informatica Enterprise Data Lake is the best tool. I only work with Informatica Enterprise Data Lake and do not have real experience with IBM.

I am now combining Snowflake and Informatica Enterprise Data Lake at the enterprise level. Data quality check is important, and Informatica Enterprise Data Lake will be the best tool for data quality checks. I have experience with data discovery, though I am not currently using it. The solution is cloud-based, mostly on AWS cloud. The technical support rates at eight out of ten. Based on my experience, I give Informatica Enterprise Data Lake a final rating of nine out of ten and recommend it to other users.

Public Cloud

Amazon Web Services (AWS)

The typical use case of Informatica Intelligent Data Management Cloud (IDMC) is governance activities for data quality and data cataloging. I need to look at the request type from whom I am getting to provide the details.

The most helpful features in Informatica Intelligent Data Management Cloud (IDMC) are data cataloging and the data marketplace.

In terms of data quality management, Informatica Intelligent Data Management Cloud (IDMC) helps with data governance overall.

There are some improvements needed in Informatica Intelligent Data Management Cloud (IDMC), especially from a user experience point of view over the last year. They are improving, and there is still scope for enhancement.

The observability concept in Informatica Intelligent Data Management Cloud (IDMC) needs improvement as the capabilities are not up to the mark compared to the industry.

In terms of cost effectiveness, Informatica Intelligent Data Management Cloud (IDMC) is more than 20% costly compared to the industry.

Regarding AI features in Informatica Intelligent Data Management Cloud (IDMC), there is always improvement and clarity present, but compared to the competitors, they are still lacking. The AI features are helpful, but when compared to its competitors, they need enhancement.

I have been working with Informatica Intelligent Data Management Cloud (IDMC) for five and a half years.

The deployment of Informatica Intelligent Data Management Cloud (IDMC) is user-friendly, but if the software is available, it takes some time.

I have contacted the Informatica technical support team, and they have good technical support, but there is always room for improvements. My experience with Informatica technical support overall rates around three, which is above medium, but not extraordinary.

Neutral

Informatica Intelligent Data Management Cloud (IDMC) takes about a couple of days to configure, depending on the services.

I am aware of its competitors, and I will provide the details once I know them more thoroughly.

I definitely would recommend the Informatica solution to other people.

I am satisfied with Informatica Intelligent Data Management Cloud (IDMC), even if it might be lacking in some areas. The expectations will be somewhere, and the tool can support somewhere, with opportunities to improve, considering the features they are building and their strengths.

I would rate Informatica Intelligent Data Management Cloud (IDMC) at around seven.

I worked on a project where we had to use these tools to execute the data quality requirements from assessment perspectives to scorecards and similar tasks.

I haven't used any other tools, so I cannot really compare. However, anything that was related to data quality from an implementation perspective was available.

I haven't used it extensively, but it has its own use cases and could be potentially useful depending on the context. The main work I did was benchmarking the data sets that were available at the time to complete the seven dimensions of data quality.

I have used Informatica Cloud Data Quality and PowerCenter for a bit, though I worked on the data quality tool mostly.

I tried both versions, the one on the data center and the one on IDMC, which is the Informatica Cloud.

Regarding infrastructure setup, I was responsible for installing Informatica Cloud Data Quality on Google infrastructure, which was straightforward. I don't recall having significant issues. The challenges were mainly related to firewalls, security rules, and allowing network connectivity.

I think it would be very useful to have the same features on the data center version available on the cloud version. I remember when I used it, there was some limitation in one of the data quality dimensions. I was not able to perform certain tasks on the cloud version, even though I could do them on the data center version.

When a customer moves from data center to cloud or a SaaS implementation on another platform provider, they shouldn't experience reduced functionality. It should be enhanced.

I used the solution for approximately four to five months.

We had a unique setup at the time that didn't function optimally, so certain tasks had to be done manually to some extent.

The solution is stable. However, the data center version currently appears more stable than the cloud version in terms of feature usage and overall smoothness.

Informatica Cloud Data Quality is a scalable solution.

The customer service team was great. They were very proactive with us.

Positive

We were presented with Informatica Cloud Data Quality immediately when we started. There weren't any other options at that time.

As a technology consultant, I worked for the client who had Informatica Cloud Data Quality already set up for us to use.

I would prefer to remain anonymous as including my name could cause some issues.

Though I'm not a data engineer by profession, it was really easy to navigate the tool.

I would rate this solution 8.5 out of 10.

Google

Google

We are using Oracle, Informatica IDQ, EDC, and Axon. These three tools are currently being used on one of our projects in the Middle East.

We recently started a project with one of our clients in Saudi Arabia, and we are using Informatica Cloud Data Quality for data quality management.

The customer required us to use Informatica Cloud Data Quality. They insisted on having it and were willing to pay more, which is fine because we tried to ensure that the tool is just a mechanism to automate activities, not the backbone for implementation.

EDC stands for Enterprise Data Catalog, IDQ stands for Informatica Data Quality, and Axon is for governance.

Mainly with data quality, we have a full data quality management suite through Informatica Cloud Data Quality itself, starting from documentation of business rules, profiling, getting any kind of issues with data quality, doing assessments, and we do these kinds of frequent measures for data quality, as well as resolving any kind of issues.

Regarding the features, the dashboards related to data quality profiling are the most powerful tool that we are using, and the integration between EDC and the data quality is very important. Having this feature provides a real understanding of the environment and also aids in quality management for whatever kind of data sources within the organizations.

The configuration of Informatica Cloud Data Quality is one of the challenges we have, especially with a limited number of users which is always a challenge when using Informatica as a tool.

Our administration team always refers to Informatica Middle East for each step, so communication is also one of our obstacles because materials to explain the steps seem not very mature. The technical team struggles, as they keep getting back to Informatica almost every day for feedback and guidance, and this should be automated somehow so that people can easily access the materials.

The tool itself is mature and everything is fine, but we have these kinds of facilitations that the tool itself needs to be improved.

I am satisfied with the quality of support I receive, but sometimes we get some delays here and there when it comes to responses, but overall, it's good.

Positive

I do not consider that Informatica Cloud Data Quality is cost effective enough, as it's very expensive and we are using another tool called OvalEdge, which is similar in some features, but not all features. OvalEdge has about 90% of the functionality of Informatica Cloud Data Quality but costs about a third of the price.

I definitely will not recommend Informatica Cloud Data Quality because it's very hard to manage the licensing model and the price is very high. My experience with Informatica Cloud Data Quality compared to OvalEdge shows that OvalEdge is better because they are very flexible, they develop connectors whenever there is a requirement, they respond immediately, and the installation and configuration of the tool is straightforward and easy to use at a third of the price of Informatica Cloud Data Quality.

Collaboration between team members is important. On a scale of one to ten, I rate Informatica Cloud Data Quality a nine out of ten.

We are cataloging datasets across the organization. Cataloging information across all the tables and other files is the major use case.

The feature that allows me to search across the entire organizational database and then look through what objects are in which tables and which locations is quite handy. Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.

I haven't really used AI yet, but I would like to use it. I may be in a better position to answer this question once I explore that feature. I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.

I have been using it for about four years, I guess.

My experience with deployment of the solution was pretty straightforward.

We usually get support from our vendor and Informatica, and so far it's been great.

The response time is pretty good because we have someone in-house, who is an expert from Informatica, in our team who can help us with any sort of queries usually. The response time is pretty good. I can't complain.

Positive

I didn't work with anything similar before.

My experience with the initial setup was pretty straightforward.

We hired a vendor. They were helpful.

Unfortunately, I can't really quantify it at this stage, but I can see that there's a lot of time saved.

I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC) has.

I would rate it 9 out of 10. I really want integration with other Informatica products. For example, we have IICS.

Public Cloud

Other