Informatica Cloud Data Quality Reviews

We've 300-400 data quality rules and different kinds of rules for completeness, conformity, and timeliness. We're using Informatica to implement those rules in Cloud Data Quality.

Informatica has CDI. So, if you find some issues, you can always integrate your CDI and then fix your data.

The reusability factors are nice. The Cloud Data Quality is much better. A major flaw in the previous version was integration with the catalog, which is now seamless.

I have been using Informatica Cloud Data Quality as a partner for three months.

I rate the solution's stability a nine out of ten.

We want to keep costs down, so we are not getting enough resources.

It is suitable for enterprise level.

I rate the solution's scalability as nine out of ten.

Support response time could be better.

Positive

I use Collibra Data Quality. I switched to Informatica because Collibra cannot integrate. Colibra Cloud Data Quality is a very basic tool. There is no integration capability. If you have problem records, there is no fix to remediate them using the same tool. With Informatica, you can integrate with CDI and then create a remediation plan.

The initial setup was straightforward, and we were able to start configuring the rules quickly, etc.

It took about half a day to deploy since we are also learning.

There are different tiers based on consumption, but there is no flexible option. The catalog grows slowly over time. It would have been nice to use a flexible feature at the beginning and then transition to a model where you have a fixed set of units that you consume and pay for. If you exceed those units, you move to the next tier. We were expecting a flexible pricing structure, which we did not get.

We would have preferred a pay-as-you-go model. Although pay-as-you-go is slightly more expensive, we know our consumption will not be high initially. 

It is easy to integrate cloud data quality with IT workflow. We haven't faced many challenges. It is fairly straightforward.

I recommend the solution. 

Overall, I rate the solution a ten out of ten.

We have a lot of data from multiple vendors spanning multiple years. We want to have one unified final data standard, rather than searching around to do the quality check. We have a data governance process to make sure we have the proper data. In order to do that, we use some tools, such as Informatica Cloud Data Quality to bring the data together and to do the quality checks.

One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality. 

I used to use Informatica Cloud Data Quality more but recently we have been using another tool that we feel is better because it handles spatial data. Informatica Cloud Data Quality could improve by adding the ability to handle spatial data.

When I build the workflow and rule configurations, they could improve by making the process easier. You want to automate it and not have to manually do it.

I have been using this solution for several years.

The solution is stable, it has been around for a long time.

The solution has been scalable for the amount of data we have been processing.

We are a large company and a long-term customer, the support we have received has been good.

I have evaluated other tools.

This is a good and very valuable tool, but it has some drawbacks and there are other alternatives.

I rate Informatica Cloud Data Quality a nine out of ten.

We use the solution to validate emails, telephone numbers, and postal codes. It can also create some data quality rules using the Cloud app's data quality function.

It offers enhanced usability with the ability to create rules quickly using its AI engine. This feature simplifies rule creation by allowing users to specify their needs, and the system generates the necessary scripts, acting as a significant accelerator. 

Another advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution. Informatica has a strong history in data quality with its on-premise product. All those powerful capabilities are now available in the cloud, making this product even more robust.

Accessing data as a service is essential, especially for validations requiring external data services. This goes beyond basic syntactic checks, like ensuring an email address contains the @ symbol or .com domain. Instead, it's about advanced validation, such as verifying if an email address exists or if a phone number is valid. 

These services are in high demand, especially for regions like China, Argentina, and other parts of Latin America. While such capabilities were initially more common in the United States, they are now increasingly required globally.

Five to six people are using this solution.

Informatica Support is one of the best services available in the market now.

Positive

Many clients acquired this product because of the ROI.

Informatica is one of the most expensive solutions available in the market.

Overall, I rate the solution a nine out of ten.

We are using Informatica Cloud Data Quality for data quality operations.

The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based. 

Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM.

I have been using Informatica Cloud Data Quality for approximately six months.

Informatica Cloud Data Quality is stable.

We have approximately 200 people in my company using this solution.

I have used IBM solutions similar to Informatica Cloud Data Quality.

This is a good data quality tool. I can't comment more because I have not used the solution extensively.

I would recommend this solution to others.

I rate Informatica Cloud Data Quality an eight out of ten.

We are working with our clients to help them build a data governance product for their enterprise data warehouse. By using Informatic EDC, Informatica Axon, and Informatica Data Quality, they can ensure the quality of their data governance.
Here, we are sharing the data with the consumers. We are using automated tools via Axon to ensure that the quality of data is good and that it is trustworthy. The average threshold for good-quality data is above 85 percent, so we have set a conformance threshold. Data quality is important when scanning data in Axon. We can determine the quality of the data and, if necessary, reach out to the data storage to correct it. Cloud data quality is important in this process because it can correct or reference data.

The most valuable feature is the rule specification. This is where we can define the rules and have our clients verify our transformation. The rule specification is a major transformation used in cloud data quality and especially in rule specification, we can create the business logic. If our business case or our use case deals with any kind of address verification, then we can go with address verification transformation as well.

With the on-premises version, we had many abilities to connect with any kind of server. But when it comes to cloud data quality, there are certain limitations to connecting. For example, we may be using an AS400. There are scenarios where some clients are still using old technology, such as the mainframe. However, for data quality, they mainly deal with the latest tools, such as Snowflake, the cloud database, Azure, Google, and AWS. Informatica has not considered the old version of the software for SaaS applications. The integration with older technology and cloud quality needs improvement.

I have been using the solution for one year.

The solution is stable.

The solution is scalable. We just need to add more licenses.

The technical support is good.

Informatica Cloud Data Quality is a cloud service. All we need is to have a secured agent installed in our local machine or in the VM. Once that is done we get a license and when we have a run time, everything is easy. Since this is a cloud service, we don't need to worry about maintenance. But there are some hurdles in data quality, such as if any one of the services goes down due to reports of our database being full, and there are multiple conditions. So there are pros and cons when compared to on-premises and cloud, And for maintenance, the cloud data quality is the best fit when compared to on-premises. The initial setup is simple.

We pay for a yearly subscription.

I give the solution a nine out of ten. I've been working with Informatica solutions for the last decade. I have worked on other ETL tools as well. But always, Informatica stays close to my heart.

I've been closely working with Informatica's salespeople across the Asia Pacific. Right now, Informatica is pushing all the cloud products to the customers, not the on-premises. Informatica has everything in the cloud except data privacy management. They have canceled or they have stopped the data privacy management of on-premises itself. Right now, Informatica has end-to-end solutions in the cloud. They have all the services starting from data integration, and they have application integration. If it is a web-based application integration, We have CAI cloud application integration. Informatica has a data catalog, data quality, and master data management. They have everything in the cloud. Right now, all the clients are pushing only cloud products to their customers.

Depending on an organization's business requirements and budget, I can recommend Informatica Cloud Data Quality.

My primary use case of this solution is to cleanse data quality.

This solution has allowed us to bring in data quality rules, checks, and specifications.

The most valuable feature is its friendly user interface, which makes it easier to create quality shared functionalities or quality rules.

Some capabilities from the cloud version are not included in the on-premises version, such as the ability to create dashboards that show the whole of the metrics and the metrics of quality of the information you are analyzing. I would like to see these capabilities included in the next release of the on-premises version. 

This is a stable product.

Cloud Data Quality is a scalable solution.

The support team provides great service.

The initial setup was fairly easy.

Unless the customer needs a dashboard, this solution is the best option. I would rate this solution as eight out of ten.