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."We can scale the product."
"It reduces a lot of legacy coding."
"The most valuable features are the monitoring tools and the reporting manager."
"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."
"The most valuable feature of Informatica PowerCenter is data transformation and user-friendliness."
"UI-based ability to create data mapping."
"Good interface, reasonable documentation."
"It has helped us monetize."
"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 features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"The best feature may be data flow, which is used to prepare and clean data."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"A valuable feature is the speed of the solution."
"The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code."
"Now they are migrating to a new version, and they have something that is called Informatica Developer. Previously, they just had PowerCenter. Now, when they move everything to Informatica Developer it's not as good or stable like it was when it was PowerCenter, though it has some nice features. This Developer tool could be better."
"An issue which should be addressed is that the solution only allows us to do structured, as opposed to unstructured, data processing."
"It would be good to recreate the entire interface to make it easier for users to build workflows."
"The solution's commercial cost is very high. Other open-source tools can do the tool's functions for free. The world is moving to the cloud, but the solution hasn't updated its drivers. I presume that its downfall will start soon. The tool is trying to cross-sell or upsell without helping customers derive benefits from the existing products. They have multiple tools and licenses. It is better to bring the smaller tools in one umbrella."
"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 licensing is difficult."
"The pricing could be improved."
"The solution does not scale."
"The learning curve should be improved, and I'm uncertain if tutorials are readily available or easily accessible. We may have resorted to looking on YouTube for such information. Having easily understandable documents or guides for new users would be beneficial. AI integration would be an interesting feature to add in the next release."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"When you implement the product on a small scale, it doesn't generate any ROI."
"Its FAW feature has limitations in terms of usage."
"One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need."
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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