External reviews are not included in the AWS star rating for the product.
I am working on Informatica Intelligent Cloud Services currently.
As a consultant, I provide services to companies and clients using Informatica Intelligent Cloud Services.
The scalability of Informatica Intelligent Cloud Services is good. I can increase its size as and when required, and if any modifications are needed, it is easily adaptable. Monitoring is required but minimal, and there is a reduction in error rate.
The valuable features include ease of use and quick response time with Informatica Intelligent Cloud Services. The performance and response time are notably faster.
Previously we had Informatica PowerCenter on mainframe systems, but we have migrated everything to cloud systems. For cloud, we use Informatica Intelligent Cloud Services, which gives us better access, faster access, and improved performance.
Information about pricing and licensing of Informatica Intelligent Cloud Services is restricted to top-level management and project managers.
I have not used advanced data governance features inside Informatica Intelligent Cloud Services yet.
The system typically takes five to 10 minutes to respond.
Informatica Intelligent Cloud Services has a good user interface. However, when it comes to technical errors, we have to go through the logs. Error analysis becomes difficult as finding the exact location of the error in the logs is challenging. The log records could be better organized.
It is difficult for me to provide metrics regarding time saved or productivity gains using Informatica Intelligent Cloud Services features at this time.
I could not provide information regarding IICS's robust automation features for error-free data processing.
I have a meeting now regarding Informatica Intelligent Cloud Services.
I am working on Informatica Intelligent Cloud Services currently.
We access Informatica Intelligent Cloud Services via AWS. My company purchased it because we have projects for hundreds of people.
I could not evaluate other options or vendors before choosing Informatica Intelligent Cloud Services.
AI plays a significant role in optimizing our data workflows in Informatica Intelligent Cloud Services. It helps us fix errors, make modifications, and check dependencies. Since we are not aware of all dependencies once a project is deployed, AI assists us in identifying where changes will affect the system.
Neutral
We are dealing with billions of records of data. Quick responses matter significantly so we can fix any critical issues as soon as possible using Informatica Intelligent Cloud Services.
I do not have much information regarding the initial setup of Informatica Intelligent Cloud Services.
I could not evaluate other options or vendors before choosing Informatica Intelligent Cloud Services.
Maintenance and retrieval of records with Informatica Intelligent Cloud Services is easy. Time to retrieval is efficient, and we can access it from anywhere without requiring a particular mainframe location. It has good backup capabilities, allowing retrieval of accidentally deleted records through cloud backup servers.
I have minimal knowledge about its impact on the data integration process.
While there is a governance tool in Informatica Intelligent Cloud Services, I have not had the opportunity to work with it.
There is a governance tool in Informatica Intelligent Cloud Services, but I have not had the opportunity to work with it.
I have minimal knowledge about the impact on data integration process.
It is difficult to provide metrics regarding time saved or productivity gains using Informatica Intelligent Cloud Services features.
Information about pricing and licensing of Informatica Intelligent Cloud Services is restricted to top-level management and project managers.
AI plays a significant role in optimizing data workflows in Informatica Intelligent Cloud Services. It helps fix errors, make modifications, and check dependencies. Once a project is deployed, AI helps identify where changes will affect the system.
On a scale of 1-10, I rate Informatica Intelligent Cloud Services an 8.5.
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.
I work in the insurance industry.
For this build, the cloud offering provides scalability and agility for my current project, which is in the insurance domain for CNA insurance. We do end-to-end data management as well as follow a microservices architecture. Additionally, we are using AI and machine learning for tasks such as data discovery, data quality, and generative AI applications for development purposes.
Some of the most valuable features with Informatica Intelligent Cloud Services include master data management, API management, data governance, data quality, and cloud application integration. We can utilize both ETL and ELT capabilities and have the ability to integrate data with different data lakes, even integrating with Snowflake.
The cloud-native platform provides scalability and agility for my current project. Informatica Intelligent Cloud Services allows us to manage the entire data lifecycle in the insurance domain, supporting microservices architecture and leveraging AI and machine learning for data discovery, quality, and integration.
I still have to look into potential improvements, but what I have currently provided input on is what I'm using. I still need to work on it and check for any potential improvements.
One thing to consider is that while Informatica Intelligent Cloud Services already integrates with AI platforms, we need to use these tools rigorously and check all these aspects, including machine learning and analytics. I feel that more work needs to be done on this aspect.
I have almost three years of experience.
Product deployment generally takes place as we have an integrated version with various applications, and while we don't deploy daily, we follow a CI/CD pipeline closely for performance.
Different organizations may have different practices; some might have a release plan, but for my project, we manage deployments every one to two days without experiencing significant delays or issues, so I consider it user-friendly.
The solution is stable as of now.
It is scalable. The solution has good scalability and powerful capabilities.
The initial setup for Informatica Intelligent Cloud Services is straightforward for me because I'm not facing any issues with this.
I am part of the initial setup and deployment.
For the deployment team, we have a production development team that isn't just one person; it's a combination of almost eight or nine teams working together. Depending on the team's requirements, they handle deployments at different times, so around ten people are involved.
The reviewer needed more time to provide information about differences with other integration platforms.
I have experience with Informatica solutions, specifically with Informatica Intelligent Cloud Services. This is for my project basis, as IICS is the cloud-native solution they supply us for this purpose. I focus on ETL, ELT, reusable integration artifacts, and cloud data integration, including Snowflake. Everything is there, including scalability and performance, which are also good.
On a scale of 1-10, I rate Informatica Intelligent Cloud Services a 9 out of 10.
On one of my projects, we used Informatica Intelligent Cloud Services for ingestion purposes. Secondly, we used it as a regular ETL for performing heavy transformations.
In our current scenario, we are moving our on-premise artifacts, which are on PowerCenter, to the cloud. It was surprisingly quick to get everything working, which has been beneficial for our operations.
Informatica Intelligent Cloud Services offers a wide variety of services, including Cloud Data Integration, which is akin to a replica of PowerCenter on the cloud. I particularly like the mass ingestion service.
The cloud version of Informatica, although easier and more advanced than PowerCenter, still requires a deep dive to fix bugs. It could be improved by making the process as intuitive and easy to follow as PowerCenter.
I have delivered two projects using it, so from my experience, the tool is very good.
There are some bugs and glitches, which for a beginner, can take time to resolve. This may be because I have spent less time on the tool compared to others.
Scalability doesn't impact Informatica technically, but it does take a lot of money when we keep adding users.
Informatica technical support is excellent. I would rate it a nine. They are top-notch.
The initial setup is easy and not complex.
Pricing is a bit high, similar to a premium version or a high-end product, and requires a budget ready to manage it.
During POCs, we explored other ETLs like Firetran for ingestion purposes, but Informatica's capabilities are robust.
For a robust use case, especially for large enterprises, Informatica Intelligent Cloud Services is a good tool with good support. However, make sure to have a budget ready.
I would rate it an eight out of ten.
Informatica MDM is used for our customers' master data management journey. The solution meets our client's requirements for their customer-supplier or any other entities.
The solution's most valuable features are its data quality, match-merge engine, and CLAIRE AI engine, which helps with AI automation.
Compared to other tools in the market, Informatica MDM is costly.
I have been using Informatica MDM for 13 years.
Informatica MDM is highly stable compared to any other tool in the market.
Informatica MDM is a highly scalable solution. Our clients for Informatica MDM are mostly medium and enterprise businesses.
I rate the solution eight and a half out of ten for scalability.
Technical support refuses to support us if we customize the tool. We customize the product based on the customer's needs, and we expect Informatica to provide support during that time as well.
On a scale from one to ten, where one is difficult and ten is easy, I rate the solution's initial setup an eight out of ten for on-premises and nine out of ten for the cloud version. Setting up the tool in the cloud via IDMC doesn't take much time.
The solution can be deployed within a few hours.
Our customers have seen a return on investment with the solution.
Informatica MDM is an expensive solution. On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten.
I would recommend the solution to other users because of its reliability and stability. Compared to other product vendors, Informatica MDM always has additional features. Informatica MDM has a CLAIRE AI engine, which helps with AI automation.
Overall, I rate the solution eight and a half out of ten.
The main purpose of this tool is for file transfers related to our Python server.
The data integration and synchronization features in IICS improve the data handling processes.
I haven't had the chance to explore all the features in-depth since we've only been using them for a couple of months.
I appreciate that it's a cloud-based solution. With a good internet connection, it works smoothly.
It also offers multiple features.
There's definitely room for improvement in terms of user-friendliness.
One example is that you can't search for jobs directly by file name. You can only search by job name. So, if you want to find a job that works with a specific file, you have to go through each job individually to find the right one.
So, I'd like to see a faster search, one where I can search directly by file name.
Moreover, the support team could improve by adding things like file transfer status updates. Also, if someone modifies a job and then leaves the company, that shouldn't disrupt the job for active users. It would be better if the job continued to run smoothly regardless of who modified it.
I have been using it for seven to eight months.
It is a pretty stable product.
Scaling is easy. It's not overly complex. In our team, we have around 10 to 12 people using it. Additionally, there's a separate IT team dedicated to IICS with over 50 people. Other private projects likely use IICS as well.
We sometimes face challenges when implementing new features. In those cases, we contacted support, and they've been very helpful.
wWe're happy with the support team.
It is a cloud service. We use AWS and Azure Cloud. I'm not fully sure about the installation details, but I know we use AWS and potentially other cloud features as well.
If you have experience with similar tools or a general understanding of IT concepts, it's easier to grasp. Learning the features takes time, but with an IT background, you should be able to figure out the basics.
We all encounter challenges sometimes and need to learn new things. Overall, it's not overly difficult or overly simple. It's manageable if you have the right mindset.
It's definitely a good tool, especially if you're using cloud services and an S3 bucket. It has many features to simplify your work and make your life easy. It's not overly difficult to learn, but proper training is essential to understand and make the most of all the features.
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.
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.