We performed a comparison between Informatica PowerCenter and SAS Data Management based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration."The most valuable features are the metadata repository and the data warehouse application console."
"The most valuable features are the monitoring tools and the reporting manager."
"It provides monitoring and we can therefore be aware of what is happening when we are handling jobs."
"Can manage a huge quantity of data and provide reliability."
"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."
"We use Informatica PowerCenter to transfer the transitional database to and from the data warehouse. This is very efficient as it enables us to quickly find our data reports and the data, so we can build AI models."
"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."
"If you compare it to SQL, the memory and development times are very quick."
"The tool is reliable, quick, and powerful."
"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."
"The product offers very good flexibility."
"The technical support is excellent."
"This is an established product with powerful data analysis and varied options for user entry points."
"The solution is very stable. We haven't faced any issues with glitches or bugs. We haven't had any crashes."
"I am impressed with the tool's ability to customize."
"This solution needs the functionality to do batch processing of data. It also lacks connectivity to NoSQL, unstructured data sources."
"Include more instruments for LOGs analysis, interpretation, and job corrections."
"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."
"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."
"We had stability issues, mostly with JVM size."
"PowerCenter could integrate better with cloud applications. We had to do a lot of configuration work using API integrations to connect with cloud applications. Informatica Cloud Data Integration has a generic connector that you can use directly, so it's much easier."
"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."
"There is some room for improvement in terms of pricing."
"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."
"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."
"The solution is quite expensive and hard to install/configure."
"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."
"I would like the tool to include the ability to automate the modifications of the integrations."
"The solution could use better documentation."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
"We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive."
Informatica PowerCenter is ranked 3rd in Data Integration with 78 reviews while SAS Data Management is ranked 40th in Data Integration with 15 reviews. Informatica PowerCenter is rated 8.0, while SAS Data Management is rated 8.4. 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 SAS Data Management writes "A scalable solution with customer support that is responsive and diligent". Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS, Databricks and AWS Glue, whereas SAS Data Management is most compared with Microsoft Purview, Tungsten RPA, IBM InfoSphere DataStage, Collibra Governance and Palantir Foundry.
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