We performed a comparison between AWS AppSync and StreamSets based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration."Support for multiple data sources and formats is a fantastic feature."
"StreamSets Transformer is a good feature because it helps you when you are developing applications and when you don't want to write a lot of code. That is the best feature overall."
"For me, the most valuable features in StreamSets have to be the Data Collector and Control Hub, but especially the Data Collector. That feature is very elegant and seamlessly works with numerous source systems."
"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."
"The most valuable would be the GUI platform that I saw. I first saw it at a special session that StreamSets provided towards the end of the summer. I saw the way you set it up and how you have different processes going on with your data. The design experience seemed to be pretty straightforward to me in terms of how you drag and drop these nodes and connect them with arrows."
"In StreamSets, everything is in one place."
"What I love the most is that StreamSets is very light. It's a containerized application. It's easy to use with Docker. If you are a large organization, it's very easy to use Kubernetes."
"The best feature that I really like is the integration."
"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."
"Moving to other clouds is impossible without significantly rearchitecting your applications."
"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."
"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."
"One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."
"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."
"Using ETL pipelines is a bit complicated and requires some technical aid."
"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."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."
Earn 20 points
AWS AppSync is ranked 25th in Cloud Data Integration while StreamSets is ranked 8th in Data Integration with 24 reviews. AWS AppSync is rated 9.0, while StreamSets is rated 8.4. The top reviewer of AWS AppSync writes "Innovative, works well with GraphQL, and can connect to any type of data source". 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". AWS AppSync is most compared with Oracle Integration Cloud Service, AWS Glue, Workato and Perspectium DataSync, whereas StreamSets is most compared with Fivetran, Azure Data Factory, Informatica PowerCenter, SSIS and IBM InfoSphere DataStage.
See our list of best Cloud Data Integration vendors.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
