We performed a comparison between Informatica PowerCenter and StreamSets 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."I like the completeness of the way I can build ETL workflows."
"It provides everything I need. Nothing is missing. PowerCenter is a good tool for on-premise databases."
"UI-based ability to create data mapping."
"It's very easy to use it to develop mappings and workflows."
"The most valuable feature of Informatica PowerCenter is data transformation and user-friendliness."
"What I like the most is that we have to deal with less while writing the queries."
"Informatica PowerCenter provides multiple transformations in one particular toolset. You don't need to apply any coding."
"It's a very powerful tool you can use to load data, get data, do the drawing between the tables, and put into the packet in a very fast way."
"The best feature that I really like is the integration."
"The UI is user-friendly, it doesn't require any technical know-how and we can navigate to social media or use it more easily."
"Important features include that it comprises lots of functionality to connect data from various sources through connector availability, scheduling pipelines at any time, and integration with third-party and security solutions for encryption."
"The scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka, Hadoop, and Azure Data Factory Datasets. Connecting to these systems with StreamSets is very easy."
"The ability to have a good bifurcation rate and fewer mistakes is valuable."
"I really appreciate the numerous ready connectors available on both the source and target sides, the support for various media file formats, and the ease of configuring and managing pipelines centrally."
"The entire user interface is very simple and the simplicity of creating pipelines is something that I like very much about it. The design experience is very smooth."
"It is really easy to set up and the interface is easy to use."
"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."
"The reputation of Informatica is that it is expensive."
"We had to take on a large volume of data from the legacy Sybase system. This was taking a very long time, i.e., more than a day. We were trying to improve it with partitions to gpload, but we were told that we can't go more than four partitions."
"Lacks ability to calculate cost of the product."
"The price of the product is an area of concern where improvements are required, considering the fact that the present licensing charges of the tool are expensive."
"The only problem with this product is the level of complexity with the number of levels of transformation that you have to go through."
"There can be scalability issues. Huge amounts of data ingestion will impact performance."
"PowerCenter could be improved by having more big data components. Normally, we prefer Informatica as a relational database, but nowadays, companies are trying to understand and use big data components. I think it would be useful if we had more chances to create a hub ecosystem because customers try to use some data integration tasks by SQL, Spark and Spark codes, and Scala, but at the end of the day, the company will understand that we need to trace all the steps. An ETL tool is a must for that company, if we're talking about the regulated industries like finance, telcos, etc. If Informatica's biggest ecosystems feature were okay, I would prefer to use it."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"StreamSets should provide a mechanism to be able to perform data quality assessment when the data is being moved from one source to the target."
"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."
"We often faced problems, especially with SAP ERP. We struggled because many columns weren't integers or primary keys, which StreamSets couldn't handle. We had to restructure our data tables, which was painful. Also, pipeline failures were common, and data drifting wasn't addressed, which made things worse. Licensing was another issue we encountered."
"In terms of the product, I don't think there is any room for improvement because it is very good. One small area of improvement that is very much needed is on the knowledge base side. Sometimes, it is not very clear how to set up a certain process or a certain node for a person who's using the platform for the first time."
"I would like to see it integrate with other kinds of platforms, other than Java. We're going to have a lot of applications using .NET and other languages or frameworks. StreamSets is very helpful for the old Java platform but it's hard to integrate with the other platforms and frameworks."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"Sometimes, it is not clear at first how to set up nodes. A site with an explanation of how each node works would be very helpful."
Informatica PowerCenter is ranked 3rd in Data Integration with 80 reviews while StreamSets is ranked 8th in Data Integration with 24 reviews. Informatica PowerCenter is rated 8.0, while StreamSets 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 StreamSets writes "We no longer need to hire highly skilled data engineers to create and monitor data pipelines". Informatica PowerCenter is most compared with Informatica Cloud Data Integration, Azure Data Factory, SSIS and Databricks, whereas StreamSets is most compared with Fivetran, Azure Data Factory, SSIS, IBM InfoSphere DataStage and webMethods.io Integration. See our Informatica PowerCenter vs. StreamSets report.
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