We performed a comparison between Informatica PowerExchange and Pentaho Data Integration and Analytics based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature is connectivity to data sources."
"The agentless RCDC enablement through PowerExchange is a great idea and has worked very well so far."
"The main benefit of PowerExchange is its native real-time capabilities. Competing tools are counting on third-party packages or Oracle to offer real-time capabilities. However, Informatica has a native ability to scan the data on the file system level and capture the changes almost instantly when I push it to the consumers. The solution has a powerful built-in replication engine."
"It is a scalable and versatile solution."
"The user interface and user experience are perfectly all right."
"The solution can connect to different systems i.e. mainframe, IMS or AS/400 Legacy Systems."
"The product's initial setup phase was not complex. The tool is easy to install onto any of the servers, and you can integrate it."
"Provides a significant amount of control over the landscape and overall implementation."
"Flexible deployment, in any environment, is very important to us. That is the key reason why we ended up with these tools. Because we have a very highly secure environment, we must be able to install it in multiple environments on multiple different servers. The fact that we could use the same tool in all our environments, on-prem and in the cloud, was very important to us."
"The way it has improved our product is by giving our users the ability to do ad hoc reports, which is very important to our users. We can do predictive analysis on trends coming in for contracts, which is what our product does. The product helps users decide which way to go based on the predictive analysis done by Pentaho. Pentaho is not doing predictions, but reporting on the predictions that our product is doing. This is a big part of our product."
"I absolutely love Hitachi. I'm one of the forefront supporters of Hitachi for my firm. It's so easy to integrate within our environments. In terms of being able to quickly build ETL jobs, transform, and then automate them, it's really easy to integrate throughout for data analytics."
"It's my understanding that the product can scale."
"One of the most valuable features is the ability to create many API integrations. I'm always working with advertising agents and using Facebook and Instagram to do campaigns. We use Pentaho to get the results from these campaigns and to create dashboards to analyze the results."
"The area where Lumada has helped us is in the commercial area. There are many extractions to compose reports about our sales team performance and production steps. Since we are using Lumada to gather data from each industry in each country. We can get data from Argentina, Chile, Brazil, and Colombia at the same time. We can then concentrate and consolidate it in only one place, like our data warehouse. This improves our production performance and need for information about the industry, production data, and commercial data."
"Data transformation within Pentaho is a nice feature that they have and that I value."
"It has a really friendly user interface, which is its main feature. The process of automating or combining SQL code with some databases and doing the automation is great and really convenient."
"The one place where it could be improved is definitely pricing. That's a very big problem. It depends product to product, but pricing is an issue."
"The product's high costs can be an area of concern where improvements are required."
"Real-time has not been enhanced that much over the past few years. There has not been as many features added like they did before."
"I would like to have easier integration with cloud platforms."
"Technical support can be improved with respect to delays in ticket response time."
"The solution needs better integration with other tools."
"Apache Spark has a machine learning algorithm, an area where Informatica PowerExchange lacks."
"Pushdown optimization could be improved."
"Since Hitachi took over, I don't feel that the documentation is as good within the solution. It used to have very good help built right in."
"In terms of the flexibility to deploy in any environment, such as on-premise or in the cloud, we can do the cloud deployment only through virtual machines. We might also be able to work on different environments through Docker or Kubernetes, but we don't have an Azure app or an AWS app for easy deployment to the cloud. We can only do it through virtual machines, which is a problem, but we can manage it. We also work with Databricks because it works with Spark. We can work with clustered servers, and we can easily do the deployment in the cloud. With a right-click, we can deploy Databricks through the app on AWS or Azure cloud."
"It's not very stable, at least not in the case of the community edition. I'm working with the community edition right now and I think perhaps it is because of that it is not very stable, it causes the system to sometimes hang. I'm not sure if this is the case for pair tiers."
"As far as I remember, not all connectors worked very well. They can add more connectors and more drivers to the process to integrate with more flows."
"I work with different databases. I would like to work with more connectors to new databases, e.g., DynamoDB and MariaDB, and new cloud solutions, e.g., AWS, Azure, and GCP. If they had these connectors, that would be great. They could improve by building new connectors. If you have native connections to different databases, then you can make instructions more efficient and in a more natural way. You don't have to write any scripts to use that connector."
"The reporting definitely needs improvement. There are a lot of general, basic features that it doesn't have. A simple feature you would expect a reporting tool to have is the ability to search the repository for a report. It doesn't even have that capability. That's been a feature that we've been asking for since the beginning and it hasn't been implemented yet."
"I'm still in the very recent stage concerning Pentaho Data Integration, but it can't really handle what I describe as "extreme data processing" i.e. when there is a huge amount of data to process. That is one area where Pentaho is still lacking."
"It could be better integrated with programming languages, like Python and R. Right now, if I want to run a Python code on one of my ETLs, it is a bit difficult to do. It would be great if we have some modules where we could code directly in a Python language. We don't really have a way to run Python code natively."
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Informatica PowerExchange is ranked 21st in Data Integration with 19 reviews while Pentaho Data Integration and Analytics is ranked 15th in Data Integration with 48 reviews. Informatica PowerExchange is rated 7.8, while Pentaho Data Integration and Analytics is rated 8.0. The top reviewer of Informatica PowerExchange writes "Handles big data better than competitors". On the other hand, the top reviewer of Pentaho Data Integration and Analytics writes "It's flexible and can do almost anything I want it to do". Informatica PowerExchange is most compared with Informatica PowerCenter, Oracle GoldenGate, Qlik Replicate, Azure Data Factory and Informatica Cloud Data Integration, whereas Pentaho Data Integration and Analytics is most compared with SSIS, Azure Data Factory, Talend Open Studio, Oracle Data Integrator (ODI) and AWS Glue. See our Informatica PowerExchange vs. Pentaho Data Integration and Analytics report.
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