We use the solution for party data management. The tool ensures that the information is the same in every business system so that all the systems have the same view of what parties are involved in an agreement.

It is easy to create REST-based interfaces of the master data objects. It can be used for reading, creating, and modifying the master data objects of the parties, their addresses, and contact information. The creation and modification features always consider the data quality rules, and it is a very powerful way to provide a data interface to master data objects. It is missing in many other tools.

The solution meets the performance needs of my organization. There isn't much that Informatica doesn't do. The maintenance of the data quality rules has been improved. It’s a lot better than it was when we started. Replacing the old SOAP APIs with the new REST APIs is a great improvement. It’s still a work in progress. Some interfaces still use the old SOAP APIs.

The management of different properties is sometimes divided between different user interfaces. The tool should provide a unified user interface to manage the data objects.

I have been working with the tool for ten years.

The tool can scale according to our needs.

The initial setup was not difficult. We had very good support from Informatica’s professional services.

The team was a mix of in-house, vendor and other consultants.

The product has a high price point. However, it does not lack features. TIBCO EBX and Profisee are much cheaper. However, they lack features that Informatica MDM provides out of the box. Though the list price of Informatica MDM is high, it is negotiable.

I do not have experience with the new workflow engine. It is much more extensible because it is a full business process engine. Overall, I rate the product a nine out of ten.

I mainly use it for data management.

It's for tool management, maintaining the golden record of customer status.

Data integration should be improved. Another area of improvement is customer applications, along with business 365 application case integration between applications.

I have been using this solution for three years now. I work with the latest update.

I would rate the stability a six out of ten. There is room for improvement in the stability.

I would rate the scalability of the solution an eight out of ten. There are currently nine end users in my team. There might be more people in the company. 

Recently, Informatica MDM upgraded, it transitioned from its traditional on-premise MDM offerings to a cloud-based platform called Informatica Intelligent Cloud Services (IICS). So, we are not planning to expand its further usage.

The customer support and service are helpful. 

Neutral

I would rate my experience with the initial setup an eight out of ten, where one is difficult, and ten is easy. 

It is very easy to set up. However, the deployment time depends on the configuration. It can take 10 to 15 minutes.

The pricing is reasonable.

The users should have more training on Informatica MDM, especially practical training. The vendor should provide some practical training.

Overall, I would rate the solution an eight out of ten.

We use Informatica Cloud Data Integration to migrate to the cloud, upgrade our data warehouse, and implement master data management. It helps us with in-depth analysis, leveraging shared history, and addressing data governance questions.

The most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services. It excels in mapping development, searching for contracts in data governance, creating data quality rules, and designing merging processes. The ability to identify duplicates and automate analysis coverage is particularly beneficial. Additionally, the cost-effective option of using Informatica Cloud Data Integration for smaller projects or departments has made it more accessible and attractive for experimentation.

One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities. For example, for master data management, having additional accelerators could streamline implementation. Additionally, enhancing compatibility with metadata sharing across different applications, similar to what is achievable with PowerCenter, would further enhance the product's capabilities.

I would like to see more connectors for on-premise databases in the next version of Informatica Cloud Data Integration. Currently, CDI free is a great option for cloud integration, but expanding the connectors to include databases like Oracle or MySQL for on-premise environments would make the tool more versatile and accessible for smaller businesses or those not fully in the cloud.

I have been working with Informatica Cloud Data Integration since 2016.

Informatica Cloud Data Integration has been generally stable, with occasional editor issues. However, SLAs are consistently respected, and we typically experience minimal downtime, averaging around two to three hours per month.

The scalability of Informatica Cloud Data Integration is high. With advanced pushdown optimization, it performs well in various environments like Snowflake and AWS. It is suitable for companies of all sizes; for small to medium enterprises, starting with fewer IPUs is cost-effective, and scalability allows for growth as needed.

I would rate Informatica's vendor support as a seven out of ten. It is generally good, but there is room for improvement, especially as they shift focus from on-premise to the cloud. We often find answers in the community for software issues, but sometimes we encounter challenges that require official support tickets.

Neutral

The initial setup for Informatica Data Integration is straightforward. Deployment is simple, involving exporting and importing development processes. The ability to pilot the Informatica Data Integration platform from various APIs makes continuous integration and deployment easy to manage through API calls.

I would rate Informatica's pricing as an eight out of ten in terms of affordability. Starting with a small IPU volume is cost-effective, and as we grow, the pricing adjusts favorably based on consumption, which makes it reasonable for our needs.

I would rate Informatica Cloud Data Integration overall as an eight out of ten. It is a comprehensive platform covering data integration, API integration, data quality, data governance, master data, and privacy tools—all within one platform. The accessibility to all functionalities with the purchase of IPUs is a significant advantage compared to the past where certain features required additional payments and permissions.

My company works with our different customers to implement and install the solution.

The workflow in Informatica Axon is intelligent and good. Informatica Axon provides good data collection and good search criteria. In Informatica Axon, workflow and business glossary are good.

There are some limitations with Informatica Axon when one tries to connect or integrate it with Jira. For example, I can't delete any workflows after the integration process. There are issues with the integration capabilities of the tool with third-party solutions, specifically Jira.

I have experience with Informatica Axon for two to three years.

It is a very stable solution.

It is a scalable solution.

I recommend the solution to big companies because its functions are suitable for high-end companies.

The P1 support offered by the solution's technical support is very fast. If it is not P1 support, the support a user might get will be slow as it takes time. I rate the technical support a seven out of ten.

Neutral

For data governance, I work with Informatica Axon only. I prefer Informatica Axon for enterprise metadata management at an enterprise level, data quality, and integration. I only recommend Informatica Axon, mainly for data governance.

The product's initial setup phase is very easy.

For each of our company's customers, with an installation scope in place, it doesn't take much time. The product's implementation scope differs from the installation scope. I usually help our company's customers implement the tool.

The solution is deployed on an on-premises model.

Informatica Axon is a very good product with an easy implementation phase and a lot of information about the tool available online on the internet.

I rate the overall tool an eight out of ten.

We use Informatica Axon to make sure our data is in good shape across different apps. It helps us work with clients to set rules for data and keep things organized. For a bank, it makes sure customer info, like contact details, is correct and follows privacy rules. Axon also made it easy for our team to check and trust the data we were using. It is like a tool that brings everyone together and helps us find and use data better.

The most valuable feature of Informatica Axon has been the data marketplace. It has been a favorite because it not only boosts user engagement but also fosters collaboration. Implementing it was straightforward, and it seamlessly became a part of our organizational culture, making it easy for people to work together and share information.

One area I would like to see improvement in Informatica Axon is achieving feature parity between the on-premise and cloud versions. It would be great if the cloud version could match the full range of capabilities available on-premise. This would ensure a seamless experience and allow users to leverage all of Axon's features regardless of their deployment environment.

I have been using Informatica Axon for almost two years.

I would rate Informatica Axon at eight out of ten for stability. The main thing to improve is making the features and interface consistent between the on-premise and cloud versions. The cloud interface looks modern with DDGC, but the on-premise one is a bit outdated. Aligning them would be a big plus.

It is quite scalable. We had approximately 500 end users.

The standard support is good – they usually get back within the agreed time. If you have a higher-level support contract, like gold, silver, or platinum, you get a faster response, but the support team is generally effective and helpful.

Setting up Informatica Axon varies, but it generally depends on having a good grasp of data concepts. If you understand data well, the setup becomes more straightforward. Deploying and maintaining Informatica Axon depends on the use case, but I would say not too many people are needed. I would recommend at least two people per department or business unit to start with. It is good to have a mix, like an admin or engineer and a developer. One person could handle the technical side, while the other, who understands data and processes well, can provide expertise.

The licensing for Informatica Axon is expensive, but it provides value for the investment. With the new cloud platform, they have introduced a consumption-based license model, where you only pay for what you use. This change has made it more affordable and easier for users.

For those looking to start using Informatica Axon, my advice is to do thorough research, especially on available solutions, as integration with other software plays a big role. With the Informatica cloud solution, you have the flexibility to choose features that suit your needs. Starting with data quality is usually a good move before diving into more complex tasks. Consider exploring tools like robotics for repetitive or tedious tasks. Having someone experienced with data is a significant advantage, as these projects often have long cycles. Experienced individuals can guide you, help set realistic expectations, and emphasize the need for patience, as data governance projects take time to show results. Overall, I would rate the solution as an eight out of ten.

It is used for our SharePoint data, and it is used for our financial data, so we prepare some kind of data lakes about data. And for a lot of financial things. For example, when somebody has to put the user, like, what we have in your organization. You have a user, and some joint venture partners are there. So, we use it for multiple financial master data. Basically, financial master data, we use it.

We are basically partners, IT partners because a lot of data is being used in multiple applications for Informatica. So, basically, we have partners. It's like Shell. So, it's an end user, but as well as a partner.

It's helpful in integration, and it can be moved around in SharePoint.  So, from the SharePoint View, data integration and reporting, it help a lot in that way.

The speed with which the data should be moved could be improved because of the firewall. It's becoming quite slow. And the integration with Teams or with Microsoft is not so smooth. So these are the areas of improvement. 

So, probably, they might even look for some upgrades or some changes over there. But these are the two key areas that we are facing issues with. One is the data moves a bit slow, and the integration within Microsoft products.

Maintenance is another issue that takes a lot of time and money. It can be a challenge in the long term.

I have been using this solution for six to seven years. 

It is stable, I would rate the stability a nine out of ten. 

I would rate the scalability a seven out of ten. Because of the maintenance issue, we want to scale it up, but we're not able to do so because of the maintenance issue and delayed response.

It breaks down quite often, and it takes time and money to get the issue fixed. These are challenges that need to be addressed from a global perspective, not just from my process.

The support from IBM might not be good, or the IBM people might have to contact Informatica for the solution. That could be a reason. But the resolution takes longer than expected.

There is room for improvement in the support. The response time could be faster. 

Neutral

It is easy to install because our laptops come pre-configured. There were no issues. However, it is not easy to maintain. 

We have a team that IBM handles for maintenance work. If there are issues, we raise a ticket, and they get sorted out, but it takes too long. It is not quick enough. The resolution takes more time than expected. 

We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics. This aligns with our company's initiative to implement a data lake strategy and drive digital transformation.

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

We use the product for building static and automatic data lineages.

It is more complicated to extract data using the product compared to Visio. The system could display the details on the screen. Additionally, they should add AI features and the capability to provide data streaming insights.

We have been using Informatica Enterprise Data Catalog for two and a half years.

The product seems stable enough.

We have 30 Informatica Enterprise Data Catalog users in our organization.

The product requires maintenance.

I advise others to understand their business use cases. I rate Informatica Enterprise Data Catalog a three out of ten.

I use Informatica MDM to align data in my company.

The ability to aggregate and put together data from around fifty sources into one environment allows us to have a preview of everything in a single place, which is something we did not have previously in our company.

The most valuable feature I see in Informatica MDM stems from everything that touches the area of data governance.

I think everything related to the APIs and the manageability of the APIs in Informatica MDM are areas where improvements are required.

I have been using Informatica MDM for five years. I use the solution's latest version. I am a user of the solution.

Stability-wise, I rate the solution an eight out of ten.

Scalability-wise, I rate the solution an eight out of ten.

Around 250 users of the solution exist in my company.

There is a need to use the solution in my company at least three times a week.

I rate the technical support an eight out of ten.

Positive

I have experience with other solutions. I switched to Informatica MDM from other solutions since it offers better scalability options and interoperability.

I rate the product's initial setup a seven on a scale of one to ten, where one is a difficult setup process, and ten is an easy setup process.

My company has deployed Informatica MDM with the services offered by our cloud partner.

Informatica MDM's deployment phase takes around a year to be completed.

Two people, who are data engineers specialized in Informatica MDM, are required for the deployment phase of the product.

Informatica MDM's deployment phase was carried out with the help of my company's in-house team and Informatica's partner.

I rate Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price.

Ideally, only one person is required to take care of the maintenance part of the product, but with the number of terminals where the solution is deployed, there may be a need for three or four people.

I recommend the solution to those who plan to use it.

I rate the overall solution an eight out of ten.

A wide range of solutions exist because data is primary, and my company looks over many overall data management solutions, from which Informatica Data Quality becomes one of our biggest priorities.

I cannot just go into details of the product's features randomly because if you look at a very wide range of overall requirements, be it Informatica or Talend or more data lake solutions like Snowflake. My company goes through an entire range of areas, making it difficult for me to just speak about the features.

Accuracy is one of the key areas a client looks at before using a solution. Considering internal data from legacy systems, it is quite difficult to know if Informatica Data Quality meets that high level of accuracy criteria. The aforementioned area can be considered for improvement in the solution.

I have been a consultant for Informatica Data Quality for two years in my company. I don't directly use the solution.

From a stability point of view, I haven't heard of any complaints about the solution from any of my company's clients who use it.

I don't go into the technical side of Informatica Data Quality much since I mostly work on the procurement side and market knowledge area related to the product. Scalability remains one of the requirements of the clients who buy the product, especially for future growth. My company caters to a mixture of clients, consisting of small, medium, and enterprise-sized businesses.

I do not go into the complete deployment areas of Informatica Data Quality.

The solution is deployed on a hybrid cloud.

Informatica Data Quality is a product that is worth the money.

I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price.

I do look at a number of data quality tools, but Informatica, Talend, and Ataccama are a few of the top solutions I have come across.

My company deals with Informatica Data Quality since Informatica is a big vendor in the overall data management area.

I won't be able to speak on how I can recommend the solution to others since my suggestions will have to be based on the product's features and technical details. I wouldn't be able to point out anything about the product in detail, especially since I am not much of an end user.

Based on the feedback that I have received about the product from my company's customers, I rate the overall product a seven or eight out of ten.

Our use cases were related to the financial and banking sectors. We created data and transferred it to the enterprise level. 

The most valuable feature of Informatica Axon is features, interfaces, and data mapping. It represents clusters nicely. 

The solution should improve its integration. 

 I have been using the product for three years. 

Informatica Axon is stable. 

The product is scalable. 

The tool's support is fine. 

Informatica Axon's deployment is straightforward. 

I rate the product an eight out of ten.