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Reviews from AWS customer

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3-star reviews ( Show all reviews )

    Dipti Lad

Supports integration with most cloud source but lacks multithreading feature

  • July 31, 2024
  • Review from a verified AWS customer

What is our primary use case?

We use Informatica Cloud Data Integration to load data from files to TelSource or Oracle tables. We also apply business rules to transform the data before loading it into the respective targets.

What is most valuable?

Most of the features are good. The advanced features like task flow and conditional integration are particularly useful. There are multiple transformations we can use in Dashflow, which are beneficial. We don't use features like centralization and data marketing because they aren't relevant to our use case. Our primary focus is on task flow, which allows us to design our jobs and execute them conditionally.

What needs improvement?

Some features require an additional license, such as Elastic Mappings. Most of the features provided are through Elastic Mappings, not the data integration service which causes restrictions. For example, the recently enabled source partitioning isn't applicable to Salesforce, which we use as our target or source. We primarily seek features that enhance performance for Salesforce and ICS Integration, aiming to reduce job execution time.

We don't have the license for Elastic Mapping, so we can't use that feature. Most of the new features added by Informatica are through Elastic Mapping. It would be helpful to have features like multithreading or partitioning for Salesforce to enhance performance.

For how long have I used the solution?

I have been using Informatica Cloud Data Integration for five years.

What do I think about the stability of the solution?

The product is stable.

I rate the solution’s stability a seven out of ten.

What do I think about the scalability of the solution?

20-30 users are using this solution.

I rate the solution’s scalability a five out of ten.

How are customer service and support?

Support is good.

How was the initial setup?

The initial setup is very easy. When I first started using it, I installed a 30-day trial version. I personally explored it during that period, and it was good.

It takes 30-40 minutes depending on the jobs.

I rate the initial setup a ten out of ten, where one is difficult, and ten is easy.

What other advice do I have?

The team is very user-friendly, meeting our expectations much like PowerPoint does.

It supports integration with most cloud sources, including AWS, and has various cloud connectors. So, It's a good choice for anyone.

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


    Sowbarnica Aiyadurai

Automated a lot of manual processes, improved visibility into data processes but user interface could be more intuitive

  • June 26, 2024
  • Review from a verified AWS customer

What is our primary use case?

We use Informatica Axon primarily to manage product attributes with different roles and responsibilities across various business units. This involves complex approval processes and workflows tailored to each business unit. We have four to five business units. 

Additionally, we perform data quality checks to make sure everything goes through proper authorization and adherence to compliance guidelines. 

Different teams, including our compliance group and business unit-specific groups, so there are some parallel workflows and nested workflows within Informatica Axon. The platform also enables report generation, email alerts, and other functionalities.

We have a small vendor team with expertise in Informatica, but the majority of the involvement (80%) is directly from the client, with only 20% vendor participation.

How has it helped my organization?

Informatica Axon has significantly improved our manual processes.

For example, if you needed to onboard a product or a particular customer, we were initially using just an Excel sheet. The exchange of Excel sheets happened via SharePoint or through emails, and then it needed approval. There are different stakeholders across regions, and we are a multi-channel company.

For example, we have teams in Brazil, Mexico, Taiwan, Japan, and the US, across different regions, as well as Canada and Asia Pacific. Each business unit has different roles and responsibilities. When managing a certain set of attributes, you have to properly follow the governance process. All the governance processes were in email, SharePoint, or document before we implemented Axon.

But now, we can create forms and define that governance process, including rules and responsibilities. Many things are automated, showing how the workflow cycle goes, where it goes, and who's working on what. From a data transparency standpoint, we know what is what, where it is coming from, and what the next action is. Some quality rules we implemented automatically control who is accessing the information.

The governance process was fully manual before, but Axon helped us configure those processes, giving us more visibility, transparency, and control over the data. We don't fully use it for every business unit yet, so we are going phase by phase. So far, we have implemented it for three business units, each with different rules, regulations, and compliance requirements. We were able to accommodate all these principles.

Everyone who uses the tool likes it so far, which is a success. As we move other business units, we'll be utilizing more of its capabilities. This major win reduced the time required for manual tasks, follow-ups, and errors. It has made the process quicker and less error-prone, which is a visible benefit from the tool.

Data Integrity Challenges:

We use various Informatica products, including those for integrations and data warehousing. So, maintaining data integrity within Informatica Axon itself is not a significant challenge.

The primary challenge lies in getting everyone on board with the governance process. We have not yet fully migrated all of our organization's internal processes and interactions to Axon. We are going module by module, which sometimes requires compromising on data elements shared across different streams that haven't yet been incorporated into the governance process because governance and quality come hand in hand.

This is a gap in our internal processes and not a shortcoming of the tool itself. Governance and quality are intertwined, and while Axon assists with governance, we need to establish data quality measures beforehand. We lack some data quality elements and are actively working on improving this by cleaning up, deduplicating, and standardizing data across the organization.

What is most valuable?

The most valuable features of Informatica Axon are the reports and statistics. It provides very good insights into pending tasks, completed tasks, and areas requiring follow-up or approval. There are various checkpoints. In one report, we can see the overall status of the system. 

Additionally, Informatica Axon has many out-of-the-box features when we want to configure stuff for workflows, surpassing those of other tools we evaluated, like Collibra. But Informatica is a very established tool that offers a lot of pre-configurations when we govern the workflows. So, these out-of-the-box features are much more robust, and reporting is much more robust compared to other tools.

Data Lineage Feature:

Data lineage is there. But not everyone is into it. We have a lot of legacy applications, and consolidation of the data into our master data management is also a parallel project going on. Right now, Informatica Axon has a fantastic lineage feature, but we do not fully use that capability in our team because there are a lot of prerequisites that we need to set before we can utilize the lineage.

There are very small components where we can see some lineage. For example, if you have product dimensions or dimension-related attributes, we can see how the data lineage is going through. But for other activities, our data is distributed across different platforms and involves about 43 to 50 legacy systems. First, we are in the process of consolidating them into one hub and then do some cleanup. That would be the biggest feature for us to start with this data lineage. Right now, we don't use that capability extensively.

What needs improvement?

The user interface could be more intuitive. Currently, it's not very user-friendly, and users need to be thoroughly trained to use the tool effectively.

Additionally, more integration features, like third-party plugins for address search and other functionalities, would be helpful for users across different geographies. While some integrations exist in other Informatica products, they are not available in Axon.

Search enhancements would also be beneficial.

For how long have I used the solution?

I have been using Informatica Axon for a couple of years.

What do I think about the stability of the solution?

I would rate the stability a six out of ten because there are no critical issues stopping their jobs. It's almost stable for whatever we have done. Some issues come up, and we fix them, but overall, I'll rate it six out of ten.

What do I think about the scalability of the solution?

In our current use cases, we don't see any big challenges with Informatica Axon's performance. But when the volumes increase or we gradually onboard more users, we want to check the performance. 

For the past couple of years, we have onboard one by one and haven't faced any performance problems. But, there are some clients and case studies where they faced performance problems when multiple processes were running simultaneously. This is something we keep in mind as we onboard other business units.

I would rate the scalability six out of ten for now because we need to explore more. Other business units should also come and see how scalable it is, but for now, it's six out of ten.

There are multiple units. We have around 50 to 60 business units, and currently, only three of them are using it. It is used everyday in our organisation. 

How are customer service and support?

The customer service and support were with us. It's more about fitting our data structure to Axon rather than the product's capability. 

We had to do a lot of design work and make adjustments to incorporate everything. Informatica really helped with the initial setup, but it also depends on the contract. 

We only had normal support without an Informatica consultant onboarded due to budget issues. Everything was done through tickets and our own efforts. Maybe that's another reason we struggled.

Support helped around seven out of ten. But it's beyond their contract. Support can only do certain things. For services, you need to hire an Informatica consultant. Our team wasn't ready to hire one due to budget issues. So that's the reason we faced challenges. But as far as support is concerned, they were decent.

How would you rate customer service and support?

Neutral

Which solution did I use previously and why did I switch?

We didn't use another solution. Everything was manual. Informatica Axon is the one we chose. There were some other bidding processes, but I was not involved in the selection process.

How was the initial setup?

I would rate my experience with the initial setup a two out of ten, with one being difficult and ten being easy. 

Initially, we didn't have the expertise for the tool from the client's end. We had to depend on Informatica for that. There were some initial infrastructure issues. When we got the proposal and started implementing it, there were new findings that we had to fit according to our environment. 

Maybe it's because we weren't well-prepared for expectations. For example, if you want to set up and get started in a week or two, it took us two months for the initial setup and to migrate the data. We faced a lot of technical challenges.

Things didn't fit in properly, so we needed to make adjustments. But, again, it's our personal experience with our client. It might not be a common issue for others, but the initial setup was difficult, and we struggled a lot, so I would rate it as two out of ten.

But after that, it's all good. Once we set it up and started configuring things, everything was more in control, and we didn't face any problems. But the first-time setup was definitely a challenge.

It took us two months to deploy the solution. The most time-consuming part was the data structure and migration.

What about the implementation team?

For us, we took two resources for the deployment process because only two were available at the time. But it depends on each project. We had two resources fully dedicated to this work.

One of them was a normal Informatica expert developer, and the other was a business analyst who was also a data modeler.

What was our ROI?

I would estimate a minimum guarantee of about 60% return on investment. We are yet to explore a lot of features, like data lineage and migration of business units. But if we migrate everything into it, we can expect a 50% to 60% return on investment, for sure.

What's my experience with pricing, setup cost, and licensing?

For licensing, all I know is the number of users matters. It's not about the volume of data; it's more about the number of users. If more users are added, there's an additional cost. 

We only use out-of-the-box features and haven't asked for any customization, so we haven't incurred additional costs. However, when we migrate all 53 business units, there might be additional costs. As of now, we don't have any extra costs.

What other advice do I have?

I would recommend using it because every tool and technology has its pros and cons. If it fits with your organization, especially if you already have the Informatica suite of products in your architecture, Informatica Axon will fit in very easily. Even if you are on a different stack, it might still work. 

One advantage of Informatica is that they have been in this industry for a long time. They have a strong background in handling data, which is a positive aspect of Informatica Axon. I would definitely recommend it if it meets your standards.

Overall, I would rate it a six out of ten; we have yet to utilize all the features. From the organization's standpoint, it has only helped certain business units so far. Additionally, the user intuitiveness is less, and there are some performance issues here and there. I'm not confident enough to give it a nine out of ten because we haven't fully explored the product yet. It meets expectations but does not exceed them, which is why I rate it a six.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?


    reviewer2284407

Improves data quality and has a good interface, but the integration process is not easy

  • February 20, 2024
  • Review from a verified AWS customer

What is our primary use case?

I use the solution for preparing the data according to the data quality rules.

What is most valuable?

The mapping and mapplet features are valuable. The product improves data quality. The processes are running smoothly. The interface is good. Data integration is easy.

What needs improvement?

I use the solution to integrate on-premise and cloud products. There are issues with connectors to cloud applications. The integration process is not easy. The customer experience must be improved. When we implemented it, we did it with the help of Informatica professionals. I would not recommend them as an implementer. They didn't have any experience. It was very hard. The customer experience was not good. It's hard to understand the new features of the HR list. The tool must have more options for connectors. It is hard to connect to some of the applications. The remediation process is not straightforward.

For how long have I used the solution?

I have been using the solution for one and a half years.

What do I think about the stability of the solution?

I rate the tool’s stability an eight out of ten.

What do I think about the scalability of the solution?

I rate the tool’s scalability a six out of ten. It is a bit complex to scale. We have 20 users.

How are customer service and support?

The technical support is not good. The support team must improve the quality of support.

How was the initial setup?

The product is cloud-based.

What's my experience with pricing, setup cost, and licensing?

We got a 50% discount.

What other advice do I have?

We couldn’t deliver the full project. I will not recommend the product to others. Overall, I rate the solution a seven out of ten.


    Ragapriyadharsini Muthaiyan

Efficient quality checks and data profiling

  • August 14, 2023
  • Review from a verified AWS customer

What is our primary use case?

Data Quality involves quality checks and data profiling. It scans through the data, providing metrics like the number of nulls and unique values. Informatica Data Quality profiles the data.

What is most valuable?

In my experience, I've specifically worked with a feature called ARS Doctor, which is part of IDQ (Informatica Data Quality). So, in my earlier project, the core functionality of ARS Doctor revolved around address information sourced from the USPS postal service. It does validate the data. This is crucial because customer addresses often contain diverse writing errors. Given the presence of multiple applications, addresses can be inputted or tagged across various systems or enter their address data differently, yet it needs to conform to a standardized format.

Therefore, each address, even if inputted from distinct systems, undergoes validation to match a single, customizable format. We also have customized settings for these validations.

What needs improvement?

There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny.

For how long have I used the solution?

I possess extensive hands-on experience and expertise in Informatica.

What do I think about the stability of the solution?

I do find Informatica Data Quality is stable. It generally maintains a high level of reliability and stability, making it an asset compliance in various scenarios.

What do I think about the scalability of the solution?

In terms of scalability, you see, it is on the cloud environment, which itself gives the scalable, and flexibility in terms of accommodation of the data. So if we want to scan across the data for the quality and checks, like, not on any sample data. We really want to do this profiling on the checks on a lot of data. So it is very much visible in the cloud environment, which is cloud storage, which is provided by AWS or Azure, or GCP.

How are customer service and support?

Based on my experience and involvement in reported discussions throughout my career, I would definitely give their customer service a high rating. We receive excellent support from Informatica's team, especially during activities like upgrades and other related tasks.

How was the initial setup?

When it comes to the initial setup, particularly in a cloud environment, it's primarily license-based. There are various features available, each catering to different needs. The platform can establish connections with various systems based on the connectors it offers. These connectors facilitate integration with different environments.

When it comes to data quality, it is a license-based model. So, if you procure the necessary licenses, you gain access to the relevant options. It's all about tailoring the solution to the specific requirements of the project.

If the goal is to perform quality checks separately, there's the option to employ dedicated products for that purpose. Alternatively, data quality checks can be integrated into the data integration process. Naturally, data integration involves elements of reconciliation, verification, and quality assessment. The chosen approach hinges on factors such as data volume and the complexity of requirements. If these factors increase, the option to select different products designed for specific tasks becomes viable and can be explored further.

What other advice do I have?

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

The solution gives us the visual features on how the quality is because back in few years or back some time ago. So it was, like, always a kind of hidden thing because, as a part of the data governance, we do have a lot of data dumped in the data warehouse. But relaying we have been just relying on the data warehouse. So we didn't know, like, it is really giving us the powerful insight, or it is really giving our quality data because it could be junk or anything. So, in that case, at least this solution definitely gives us the strength with the visualization part, which gives us, "Okay, these are the different types of data it exists and data. These are the different qualities where it can improve the quality."


    VivekSingh 1

A tool with an easy setup phase and good support but needs to improve stability

  • June 06, 2023
  • Review from a verified AWS customer

What is our primary use case?

Informatica Cloud Data Integration is being used to transform data. Primarily, it is for creating data pipelines.

How has it helped my organization?

Informatica Cloud Data Integration is being used to transform data. Primarily, it is for creating data pipelines.

What is most valuable?

Integration is a valuable feature. Currently, the integration makes our security more robust, especially when compared to IICS, where we would need to make arrangements through native or other ways to handle that, and here using sum up makes our lives easier.

What needs improvement?

With the solution, we had some issues, and we have every day, and we used to open a ticket. Sometimes, there are data issues and transformation issues. So things are not very mature. They need to improve in the aforementioned areas. We are hoping that it will be sorted out in some time, and we will get to experience a hassle-free life.

For how long have I used the solution?

My company does business with Informatica. We are using their product. I have been using Informatica Cloud Data Integration for four to five years. I am an end user of the solution. Also, I am using the solution's latest version.

What do I think about the stability of the solution?

I think they are working. Their engineers are still working on some transformations and some features. It is not as stable as they are thinking, but in the last two years, we have seen good progress. So, we are hoping for a similar thing in the future as well. So it is scalable. But, stability-wise, I think that a more stable version is going to come.

What do I think about the scalability of the solution?

I think it is a scalable product. Around a hundred users are using the solution in my company.


How are customer service and support?

The support is very good. On a scale of one to ten, I rate the technical support between eight and ten.

Which solution did I use previously and why did I switch?

So we've got many solutions. Not before going to Informatica, but we were evaluating and working with other sets of tools as well. So, on AWS, it is EMR and Glue. We quite frequently use Glue for data pipelines. We also use SAP S/4HANA for delegation. I like IPC and IICS because I have experience in them for the last fifteen years, and I'm working using the same tools. So, I mean, it is my biased opinion. Otherwise, since I have not caught exposure to the other tools in the market that the people in my company are using in different teams, I don't have much exposure to them. Had I gone through those experiences, I would probably have recommended some other tools as well. Currently, I'm in this industry using this tool only, so I recommend it only for that reason.

How was the initial setup?

The initial setup was very easy. Currently, we are in a deployment process. We've not yet orchestrated that part, but we are in the process of creating the deployment pipelines.

I have deployed the solution on the cloud. Also, there is no maintenance required for the solution.


What's my experience with pricing, setup cost, and licensing?

Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company.

What other advice do I have?

It's a good tool to start with in the beginning.

The product is maturing and has not matured yet. If I look at the market, there are other tools that are providing this stable solution. I rate the overall solution between five to six out of ten.


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