We performed a comparison between Informatica PowerCenter and Oracle Analytics Cloud 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."Enterprise-scale ETL solution that's very stable and is easy to scale. It integrates and connects with multiple new systems, both structured and semi-structured."
"PowerCenter performs well during data transformation and optimization."
"The setup is very simple."
"One of the most valuable features for us is the metadata repository because it can easily understand the lineage of first target mapping. My company and I also find Informatica really easy to use—when a consultant joins our company, in just a few days to a few weeks, they can understand how to use it—so we prefer to use this ETL tool."
"The most valuable aspects of Informatica PowerCenter are the many features, ease of use, and user-friendliness."
"The support is valuable. There are also open-source ETL products, which work very well, but there is no support. When we face a production problem, being able to get support is valuable, and it brings efficiency. With an open-source solution, we can't engage anyone to resolve the problem as quickly as possible."
"The technical support for Informatica PowerCenter is good."
"Once you figure it out, it is a powerful and simple ETL tool. Its stability has been very satisfactory."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"The technical support services are good."
"The technical support is excellent, and they respond quickly."
"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."
"The most valuable features of the solution are dashboarding and data visualization."
"It's great for consolidation and creating one source of truth."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."
"The developer tool documentation can be enhanced with a more clear explanation of each utility, accompanied by relevant examples, so that developers are able to create programs with ease."
"The only problem with this product is the level of complexity with the number of levels of transformation that you have to go through."
"PowerCenter has three clients. I wish they would consolidate everything into one GUI, not three. Also, we had a persistent issue with the Informatica Developer tool but it was solved when we migrated to the newest one."
"Informatica, in my opinion, is very rigid and not very flexible, whereas platforms like Alteryx or Matillion are very flexible and agile."
"The solution could have better documentation on basic steps or blocks that specify what to do."
"What I didn't like about it is that the platform itself is not great at distributed processing. When you need high parallel processing, it has some inherent issues. We had to use Java transformation, and it did not go very well. I have heard that it is going to the cloud, but we haven't tried that."
"The documentation could be improved."
"Its scalability can be improved. It is not scalable."
"The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace."
"Its FAW feature has limitations in terms of usage."
"They could improve the ease of developing the dashboard and interacting with it."
"As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice."
"This solution could be more adaptable in its application."
"The scalability has room for improvement."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
Informatica PowerCenter is ranked 5th in Data Visualization with 78 reviews while Oracle Analytics Cloud is ranked 6th in Data Visualization with 24 reviews. Informatica PowerCenter is rated 8.0, while Oracle Analytics Cloud is rated 8.0. 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 Oracle Analytics Cloud writes "Reliable, capable of handling massive amounts of data, and good value for money". Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue, whereas Oracle Analytics Cloud is most compared with Databricks, Oracle OBIEE, Tableau, Microsoft Power BI and Oracle Business Intelligence Cloud Service. See our Informatica PowerCenter vs. Oracle Analytics Cloud report.
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