Informatica PowerCenter Reviews

We use the solution for businesses that wish to analyze their raw data. The solution allows us to do data cleansing and to transform the raw data into useful, insightful information.

Informatica PowerCenter is a very strong tool which offers a host of features. We can use heterogeneous data to easily merge and derive the useful information. Also, flag files processing is very useful.

An issue which should be addressed is that the solution only allows us to do structured, as opposed to unstructured, data processing. Also, the EPA related data processing should be improved. 

Processing capabilities should be streamlined.

I prefer a third party scheduler tool to that of Informatica scheduler, since the latter is not one which is very physical. The solution is not so helpful if one wishes to perform multiple tasks simultaneously. 

We have been using Informatica PowerCenter for nearly eight years.

Scalability could be improved, as it is of an intermediate level. 

We have plans to increase usage. 

Technical support is really great.

Deployment was simple and straightforward. 

Licensing costs are excessive and pose an obstacle to someone who lacks familiarity with the solution and wishes to have a proper understanding of it. 

We have a team of around 40 to 50 people who use the solution.

I would, for sure, recommend the solution to others, since I feel it to be a really strong tool. It is very robust and has complex capabilities. It allows one to accomplish tasks with ease. We are talking about a strong ETL for those who are undertaking ETL related tasks.

We are using Informatica PowerCenter for our data warehouse to generate reports from heterogeneous data sources from XML, JSON, or CSV databases. We then do some transformations to generate XML ISO standards to send to regulators in Europe and UK.

We have found the PowerCenter and B2B data transformation most valuable. Additionally, they have many native connectors, high performance, and a lot of support documentation.

The solution can improve by providing more connectivity by having native ODBC or JDBC connections available. It will be easier and more people could start using it.

I have been using this solution for approximately 10 years.

The solution is stable.

We have approximately 40 people using this solution regularly in my organization.

The solution is not as scalable as the cloud solutions, we will be releasing it in a few years.

The technical support has been responsive and we were in contact with them quickly. We were very satisfied.

The initial setup was easy. The full implementation took approximately two weeks.

Our internal technical team did the implementation and handles the maintenance of the solution. The maintenance team makes sure Informatica services are started and are up and running.

The solution is in the middle price range compared to other solutions. There are additional costs if you want other features. For example, more connectors or the use of other solutions, such as Snowflake.

I would recommend this solution to others.

I rate Informatica PowerCenter a nine out of ten.

We receive the data files from insurance carriers. We load the data, do some processing, and then make the data available to their internal systems. We apply some business transformations and data validations and share the data in the healthcare domain and EDI B2B exchange.

Its version varies based on the customer, but when it comes to the cloud, we have the latest version. We have been using Informatica Intelligent Cloud Services (IICS) for two years. We have used IICS for two purposes. One is for data integration, and the other one is for application integration.

Complex transformations can be easily achieved by using PowerCenter. The processing layer does transformations and other things. About 80% of my transformations can be achieved by using the middle layer. For the remaining 15% to 20% transformations, I can go in and create stored procedures in the respective databases. Mapplets is the feature through which we can reuse transformations across pipelines. Transformations and caching are the key features that we have been using frequently. 

Informatica PowerCenter is one of the best solutions or products in the data integration space. We have extensively used PowerCenter for integration purposes. We usually look at the best bridge solution in our architecture so that it can sustain for maybe a couple of years. Usually, we go with the solution that fits best and has proven and time-tested technology.

Its licensing can be improved. It should be features-wise and not bundle-wise. A bundle will definitely be costly. In addition, we might use one or two features. That's why the pricing model should be based on the features. The model should be flexible enough based on the features.

Their support should also be more responsive to premium customers.

We have been dealing with this product for around 20 years.

It is stable.

It is easy to scale. It has the concept of a grid, but it is too costly because you also need Informatica big data edition. Informatica PowerCenter has its own software licensing called big data edition. So, whenever we want to scale to a huge volume, we need to go with big data. It has horizontal scaling, which always impacts the price. I can go for a four-node cluster grid or an eight-node cluster grid, which will have an impact on the price.

We have scaled it for one of our enterprise customers, and we had a little bit of complexity in setting it up, but we were able to achieve the desired goals with respect to the performance.

We have been in touch with Informatica support. They should be more responsive. They should react quickly to premium customers.

Different products are suitable for different use cases. One unified product cannot address multiple use cases. For example, Informatica may not be suitable for real-time integration, but it may be helpful for batch integration. Similarly, MuleSoft caters to low latency, but it doesn't get into high latency, which means it is not suitable for larger data processing systems. That's why we need to have a combination of technologies. For example, I may say that I have a resource or a person who has a primary skill and a secondary skill. Primary skill is specialized, and then secondary skill is complementary to that. Similarly, every product has a primary thing and a secondary thing. For Informatica, it is the batch processing, not the real-time data processing. It only processes the structured data, but it does not process unstructured data. For unstructured data, you need to go for a different product. For the cloud version, they have introduced IICS specifically for catering to the application integration requirements.

It is a simple process because we have a pool of experts in our team. Some manual work could be required. We did have challenges while setting it up, but we could also resolve those challenges. 

We provide development, integration, operations, and maintenance services for Informatica solutions to the customers. We do ETL monitoring, and we monitor the daily loads and resolve and manage the pipeline features. 

We also handle the change requests coming from the customer and performance optimization. We may sometimes also look at the transformations optimization, caching, and all those things.

It is for big enterprises. We have leveraged Informatica for big enterprises but not for small and medium enterprises because it is a very costly product as compared to other products. We propose this solution only for enterprise customers. For small to medium enterprises, we would propose the Microsoft solution.

Its licensing is currently bundle-wise. It should be features-wise and not bundle-wise.

It is a very mature product, but now everyone is moving to the cloud. They need to give more attention and focus more on the IICS rather than PowerCenter. PowerCenter on-premises will cater to one or two industries, and they should give more features in IICS. It can cater to only 70% of the features of Informatica PowerCenter. The data integration is currently not as mature in IICS. It doesn't have Mapplets, and we have faced some constraints. We have already logged a service request for this.

I would rate Informatica PowerCenter a nine out of ten.

This solution is really the backbone of what we do. Informatica PowerCenter is one of the most used platforms for data governance in the banking and insurance industry. It's quite expensive so it's not used much outside the industry, but it's very reliable and strong in everything connected to data management and data governance strategy. For our industry, that is crucial. We are customers of Informatica and I'm the head of big data and solution architecture. 

From my point of view, the solution has two valuable features. It has the ability to manage a huge quantity of data along with a high level of reliability from a performance point of view. Secondly, it has all the tools and features within the platform to establish a real data governance strategy. That includes lineage data preparation, ETL, ELP, everything regarding monitoring and processes that are implemented in the platform. It's quite feature full in that regard.

The solution currently requires quite an established data center in place because there is no option for software as a service so the best option to install the platform is on-prem. I know Informatica is thinking about it because they are introducing a brand new platform for big data management, but it doesn't yet have the same level of features as PowerCenter. This is something they can improve on. There are some significant differences between the two platforms.

The other issue is price. I understand this is a high-level professional tool designed for big companies that have a great need for managing huge amounts of data and I understand these kinds of tools are quite expensive, but sometimes the cost is too high. Their focus is obviously a high-level market but I think there would be other companies who would want to use it but it's too expensive for them. 

I'd like to see improved on-prem support like Cloudera which is very oriented towards traditional databases, like Oracle, SQL Server and others. 

We've been using this solution for five years. 

It is clearly a stable solution, otherwise it would not be used in industries such as banking and insurance. Technically speaking, it's very stable and reliable. In my opinion, it's one of the most stable and reliable platforms for data governance.

Technical support is good and a lot has improved over the years. 

Most of my customers use solutions in the cloud so I've used Azure in AWS and GCP. There are lots of services, platform services, or software as a service, tools that are used for the same purposes or objectives, like data governance, data preparation, data integration. It's hard to compare because the environment is completely different and they have different issues. PowerCenter is quite a traditional technology. A product like Hadoop, for example, for storage and process management, has the same objectives but they are fulfilled in a completely different way.

The initial setup is not so easy but once it's been deployed it's quite reliable from a performance point of view.

My advice for this product is to be aware of what's involved and be sure about deploying and using it because it's a very technical tool, something you cannot buy and install in some weird brutal machine. It requires planning and has to be managed, not only in terms of using it, but also economically speaking, because of the cost.

I would rate this solution a nine out of 10. 

We are implementing our master data management integration solution. The idea is to have the data cleaned, and have a catalog set up so that we have a library we can consult to see what type of data is being used. At the same time, have a tool to provide a three hundred and sixty-degree view of our customer data. We will also have a unique repository and a data link that we're setting up in Azure.

We will be moving all of our storage to the cloud so that we have a single repository, and this data will be accessible by our tools such as Tableau, for integration with our reporting. 

Currently, we are in a hybrid-cloud environment, but our intention is to be cloud-based using Azure.

The two most important components are the building and integration. On top of that, you can clean and analyze your data to make sure that you don't have any corruption. In the end, you have structured, proper data for use in an integrated BI solution.

I would like to see the inclusion of a tool that allows you to report performance metrics. For example, it can determine whether the connectivity is correct, or how long it's taking the integration to move data from one place to another. This would allow administrators to govern the performance and better maintain the solution. Having a tool that can work is nice, but we're not sure if it works accurately without something to evaluate performance.

Integration with Artificial Intelligence would benefit this solution. The system should start to learn the behavior of your connections, and understand where your data is coming from to ensure that the process is being done correctly. As the system learns the stages, it will be able to easily identify problems. For example, if I have different databases where I want to store information, such as pictures in one and PDF files in another, it will be able to distinguish that.

We are still launching this solution so I cannot tell you if it is stable or not. We believe that with the support and resources we are getting, it will be. Our vision is to be as stable as possible, and we do not want to lose any data.

We performed some testing with our Asian platform and it was working fine. We are working in several countries at the same time, integrating their products, and we are hoping that it goes as smoothly as the one from Asia. This tool should allow us to scale, but we will have to wait and see.

We have between fifty and sixty people using this solution.

Informatica is assisting us with the implementation and they know what we are trying to accomplish. They have visibility as to what our company does, and having people like that helps a lot. Overall, at the moment we are very happy with the support and their contribution.

We did not have another solution in place before this. We knew that it was something that we needed to do. Since we are moving from on-premise to the cloud, we needed something to help us with the integration.

We hired somebody from Informatica to help us with the implementation. We have no complaints about their service.

Choosing this solution was a little bit complex for us because there are a lot of different vendors in that space. We had to do a proper evaluation and negotiation to get to the solution that we needed. Some vendors offer a certain package, whereas others offer another package, and there are certain components from one vendor that we needed in the other one. There is where the complexity came from. In the end, we choose the one that we thought was the proper solution for us.

There is a lot of competition in the space, and the vendors want to get good companies where they can implement their solution. It doesn't mean that every product fits every organization. My advice for anybody researching this type of solution is to meet with all of the vendors, discuss the proof of concept based on what the company has, and see if the solution is really the proper one for them. The vendors need to be honest in evaluating whether the product can really fit the needs, and they should be able to justify it.

Overall, we are satisfied with the product so far, as well as the support. In any tool, there's always something to chase and always something that can be done better.

I would rate this solution a seven out of ten.

We are using it to source data from Sybase database and flat files so as to load to the target Greenplum Database. The facility to do parallel load on Greenplum using gpload feature is valuable for us. Also, the ability to scale through partitions helped us to improve the performance.

We used Informatica PowerCenter for a re-platforming project where the earlier application was using an in-house Java-based ETL, that suffered in terms of the performance and scalability issues. With Informatica PowerCenter, we were able to overcome all the performance bottlenecks and we were able to standardize the ETL layer. The re-platformed application was able to complete the high volume batch data load in minutes, compared to the long hours it took in the old application. In addition, the year-end volume spikes are easily handled by Informatica.

In our implementation, for the initial conversion, we had to take on a large volume of data from the legacy Sybase system. This was taking a very long time, i.e., more than a day. We were trying to improve it with partitions to gpload, but we were told that we can't go more than four partitions. This was a limitation then and I am not sure if this has already been improved.

I have used this solution for four years.

Not many stability issues were experienced.

Not many scalability issues were experienced.

Technical support is good; also, we had engaged professional services during the application development.

The legacy solution was using an in-house Java-based ETL, that had huge problems in scaling for high volume batches. As part of the re-platforming exercise, we switched to Informatica so as to get a more stable and standard solution.

With knowledgable developers, the setup was not complex.

We evaluated the Pentaho solution.

It is a good, scalable solution, provided the infrastructure is taken care of.

Informatica PowerCenter is used for data integration.

To me, what's most valuable in Informatica PowerCenter is the flexibility in building the integration pipeline. Usually, you need to have a platform to be able to integrate with different technologies, including legacy data such as the mainframe. The platform should also be rich enough to transform the data per your business requirement, with no restrictions.

Rich integration and rich transformation capabilities are the two key capabilities in Informatica PowerCenter. The solution also offers ease of use.

Another valuable feature of Informatica PowerCenter is the drag-and-drop integration because it's GUI-based, similar to IBM and Oracle.

Areas for improvement in Informatica PowerCenter include scalability and high availability or the clustering configuration because that's still very basic. The elasticity or scaling of the platform needs a lot of improvement. For example, when it comes to DR handling or building an active-active or active-passive cluster, Informatica PowerCenter is still not that powerful.

Automation also needs improvement in the solution. Improving automation leads to some improvement in the stability of Informatica PowerCenter and other aspects related to it.

What I'd like to see in the next release of Informatica PowerCenter is real-time capability because the solution is mainly for patches, and to have real-time integration, you need to count on some additional components from Informatica. I would expect more integration and a complete platform in terms of real-time capability or patching with minimal interventions or minimal components to be aligned together.

I've been using Informatica PowerCenter for six or seven years.

I'm still using it as my company has many solutions that leverage Informatica PowerCenter, though the solution isn't that active nowadays because Informatica has a different strategy to promote the cloud-based data integration offering.

Informatica PowerCenter is still in the market, and what my company is using is the on-premise version.

Informatica PowerCenter is a stable solution, and I would rate its stability seven out of ten. There's a small improvement needed in terms of stability because it's linked to the clustering and high availability. Somehow you'll need a lot of automation to get Informatica PowerCenter to handle the workload, and in certain situations, there could be failures.

I found the technical support for Informatica PowerCenter brilliant. I'm even giving it a rating of four out of five just because I can't give it a five. Informatica support is even awarded for customer satisfaction if I remember correctly.

The initial setup for Informatica PowerCenter was simple. It was a straightforward setup, and it wasn't complicated at all.

Pricing for Informatica PowerCenter isn't cheap, but if I compare it with IBM, it's as expensive as IBM, however, Informatica PowerCenter is more innovative, especially when compared to a giant company such as IBM that has thousands of products.

Informatica PowerCenter is limited only to data management, but it has new features that come out every quarter. Points for ease of use and flexibility go to Informatica PowerCenter, but price-wise, IBM and Informatica are equal because they're both expensive.

I evaluated Talend, which is an open-source data engineering and data integration platform. Comparing the two solutions, Informatica PowerCenter is still more robust and has an extendable platform. You can add other capabilities, such as data quality and so on, but if you'll be focusing only on data integration, Talend, especially coming from an open-source mindset, would be a good competitor.

My preference, because I had experience with IBM and Talend, would be Informatica PowerCenter because of the ease of use, flexibility, and features that come with it.

Informatica PowerCenter is an on-premise data integration solution, but two or three years ago, Informatica introduced a new, intelligent data platform. That new platform is the equivalent of Informatica PowerCenter in terms of capability, but the only difference is that it's a fully on-cloud solution.

Informatica PowerCenter is best for big enterprises. Technically, you can use it for any scale, but practically you will get the most output when you're dealing with high volumes and heavy processing. This is from a technical aspect. Price-wise, it's not a cheap platform, so only enterprises with a bigger data management budget will be able to afford to invest in a data management platform such as Informatica PowerCenter.

My rating for Informatica PowerCenter is eight out of ten. Eight is a fair rating because it's a very stable and very mature product.

My company has a partnership with Informatica and other vendors. I'm a system integrator.

Our primary use case is to collect data from different sources and to build it for the house or data hub, or to fill already built-in appliances like Cloudera and Teradata. 

It has helped us meet our monetization needs. 

Real time is amazing. If you have AI use cases, you can predict if it's a threat or if it's a positive or negative transaction. You can use real time with PowerExchange to write data directly to Kafka, to consume, write, or parse data using an AI algorithm to detect if the data is positive or negative and to define what use cases you want. 

It would be nice to move from Windows tools (like Developer, Designer, or Manager) and have everything in one place like DATAQ developer, which is eclipse-based and user-friendly. 

CDC needs more improvement. It's stable and has good features, but it's only easy to develop if you are familiar with Linux. 

Sometimes a new monitor will not be accurate in logging or you'll open a log and get a misleading error message. The connection parameter is sometimes inaccurate, or the parameter will not load. Proactive Monitoring doesn't work very well with all of the Informatica processes. The latest version came out five years ago and there has been no enhancement since then. It doesn't make sense for a product to be ranked number one but have no enhancements. The product hangs and you can lose control for several hours. It works, but it hangs. 

I have been using PowerCenter and PowerExchange for around 7 to 8 years. 

It's stable and we rarely have any issues. During the setup, when developers tried to connect, there were some issues, but it ran smoothly once it was configured and fixed. Sometimes, there is conflict between servers (like Analytics, Data Quality, or PowerCenter) and we have problems with loading libraries.

It's easy to scale, but it has a limit. For high availability or for service on the grid, it's okay, but it has a limit. If we had the option to enable scalability based on big data architecture, like Adobe or MongoDB, it would be easier. In Enterprise Data Catalog (EDC), you can extend them by adding nodes to the cluster, but currently, to maintain scalability in both centers, you'll add a node, join the domain after that to distribute work, but fortunately, this works well. We also got a complaint, when adding a node, that the session failed without recovery. 

For technical support, there are levels. The first level of support is called TechAccess and it's between Informatica and other vendors. TechAccess takes time and their response is often delayed. After that, we escalate and go to the Informatica level of support. Once we reach them, they proceed to explain the solution. 

We've tried SSIS and DataStage, but we prefer PowerCenter for stability and monitoring. 

The set-up was simple and I did it myself. If you try it one time, it'll be easy the next time. The one product that does need improvement in installation is Enterprise Data Catalog, EDC. It's very difficult and all my colleagues hate communicating with and installing EDC.

I implemented it myself and with my team. We have expertise, so there was no need to engage Informatica Professional Services. 

The pricing is a little expensive, but in the same range as IBM and other competitors. There is not a big difference in pricing between its main competition. The pricing is mostly the same between other vendors. 

PowerCenter is good for large enterprises and good for ETL purposes, but not for ELT. If you need to go with ELT, Informatica has another package called Data Streaming that's more stable and recommended for a larger environment. 

I would rate Informatica an eight out of ten.