We performed a comparison between StreamSets and webMethods.io Integration based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The ETL capabilities are very useful for us. We extract and transform data from multiple data sources, into a single, consistent data store, and then we put it in our systems. We typically use it to connect our Apache Kafka with data lakes. That process is smooth and saves us a lot of time in our production systems."
"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks."
"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."
"Also, the intuitive canvas for designing all the streams in the pipeline, along with the simplicity of the entire product are very big pluses for me. The software is very simple and straightforward. That is something that is needed right now."
"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."
"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 most valuable features are the option of integration with a variety of protocols, languages, and origins."
"It is a very powerful, modern data analytics solution, in which you can integrate a large volume of data from different sources. It integrates all of the data and you can design, create, and monitor pipelines according to your requirements. It is an all-in-one day data ops solution."
"Our use case is for integration factory for SAP. It is mostly for SAP integration."
"The connectivity that the tool provides, along with the functionalities needed for our company's business, are some of the beneficial aspects of the product."
"There's hardware, software and application integration, providing hosting flexibility."
"I like the tool's scalability."
"Oracle's self-service capabilities, of which we make extensive use, is the most valuable feature."
"The solution is scalable."
"It's easy to construct new interfaces like apps and client portals."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"They need to improve their customer care services. Sometimes it has taken more than 48 hours to resolve an issue. That should be reduced. They are aware of small or generic issues, but not the more technical or deep issues. For those, they require some time, generally 48 to 72 hours to respond. That should be improved."
"I would like to see further improvement in the UI. In addition, upgrades are not automatic and they should be automated. Currently, we have to manually upgrade versions."
"The data collector in StreamSets has to be designed properly. For example, a simple database configuration with MySQL DB requires the MySQL Connector to be installed."
"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."
"Using ETL pipelines is a bit complicated and requires some technical aid."
"Visualization and monitoring need to be improved and refined."
"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."
"I am not satisfied with the solution because it takes too much effort to migrate and add new information. The migration could be easier."
"It is difficult to maintain."
"The products, at the moment, are new and there should perhaps be support for the older version of the protocols."
"The product's stability is an area of concern where improvements are required."
"webMethods.io Integration's installation is complex. It should also improve integration and connectors."
"The solution's release management feature could be better."
"Rules engine processes and BPM processes should be improved."
StreamSets is ranked 8th in Data Integration with 24 reviews while webMethods.io Integration is ranked 22nd in Cloud Data Integration with 7 reviews. StreamSets is rated 8.4, while webMethods.io Integration is rated 7.8. The top reviewer of StreamSets writes "We no longer need to hire highly skilled data engineers to create and monitor data pipelines". On the other hand, the top reviewer of webMethods.io Integration writes "Though the tool provides great connectivity functionality, it needs to be made more stable". StreamSets is most compared with Fivetran, Azure Data Factory, Informatica PowerCenter, SSIS and Confluent, whereas webMethods.io Integration is most compared with webMethods Integration Server, SAP Cloud Platform, Apigee, Microsoft Azure API Management and Kong Gateway Enterprise. See our StreamSets vs. webMethods.io Integration report.
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