We performed a comparison between Informatica PowerCenter and Pyramid Analytics based on real PeerSpot user reviews.
Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The performance and design of Informatica have been very valuable. I find the performance faster than, say, Oracle Data Integrator or DataStage."
"The most valuable features of Informatica PowerCenter are the ease of use, and development, and is simple to find resources."
"The setup is very simple."
"It has good standard features for ETL development."
"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."
"It provides everything I need. Nothing is missing. PowerCenter is a good tool for on-premise databases."
"Once you figure it out, it is a powerful and simple ETL tool. Its stability has been very satisfactory."
"The setup is straightforward."
"Pyramid has a wide level of uses, as it's a complete ETL process and has a good level of connecting to a lot of data sources."
"It seems quite performant in analyzing multi-dimensional information sets and presenting them."
"It offers a wide range of analytics options including statistics and visualizations, as well as prediction capabilities, allowing users to make forecasts based on the latest data."
"I think the most valuable Pyramid Analytics feature is the solution's ability to drill down and dice in the loop. I think it is better than InExcel or Power BI."
"The features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job."
"The on-premise version has quite good scalability."
"It proved to be a very powerful and useful tool due to its breakdown capabilities, easy reporting features, flexibility in building custom calculations, and the ability to integrate them into reports."
"The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."
"It would be good to recreate the entire interface to make it easier for users to build workflows."
"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."
"While on-premises is a better product, we really need to move to the cloud and need the cloud to be as robust as this product."
"Integrating new tools can be tricky and challenging."
"I would like to see an improvement in the digital adoption."
"The only problem with this product is the level of complexity with the number of levels of transformation that you have to go through."
"What needs improvement in Informatica PowerCenter is the cloud experience because, nowadays, other companies, such as AWS, Azure, and Google, have more experience in the cloud. The pricing for Informatica PowerCenter on the cloud is also very expensive for customers, so some customers prefer open-source tools or lower-priced tools, such as Azure. From my point of view, Informatica must work on the pricing policy and review the policy on the cloud for Informatica PowerCenter or propose more tools with lower pricing. Clients want the automatic integration of Informatica PowerCenter with other tools. Currently, the integration process is manual, and you have to add other tools to facilitate the integration, especially with the DevOps methodology. You need scripts and tools for the integration, and you'll need to use other integration tools if you want automatic deployment for Informatica PowerCenter, so this is another area for improvement in the solution. What I'd like to see in the next release of the solution is for the integration with APIs to be simpler, because currently, the API integration feature of Informatica PowerCenter is very difficult. It's not intuitive. You have to facilitate API integration and the real-time streaming of messages in Kafka, for example, so that should be improved."
"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 think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."
"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."
"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."
"The general amount of negative comments that I am hearing from my team makes me very wary."
"There is room for improvement in terms of documentation and examples, especially for newcomers like me who are learning both business intelligence and Pyramid."
"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."
"I find that this is quite a heavy, time-consuming tool for developers."
"There is room for improvement in terms of the user interface, particularly when it comes to modifying connections between filters and visual components in a dashboard."
Informatica PowerCenter is ranked 5th in Data Visualization with 78 reviews while Pyramid Analytics is ranked 13th in Data Visualization with 8 reviews. Informatica PowerCenter is rated 8.0, while Pyramid Analytics is rated 7.6. The top reviewer of Informatica PowerCenter writes "Stable, provides good support, and integrating it with other systems is very fast, but its pricing is expensive". On the other hand, the top reviewer of Pyramid Analytics writes "A comprehensive and user-friendly business intelligence for enhanced data insight". Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue, whereas Pyramid Analytics is most compared with Microsoft Power BI, Tableau, Alteryx, Qlik Sense and Databricks. See our Informatica PowerCenter vs. Pyramid Analytics report.
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