We performed a comparison between Alteryx Designer and Spring Cloud Data Flow 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 have been using Alteryx Designer only for data modeling and data structuring."
"For my daily analytics needs, the entire Alteryx Designer platform is beneficial."
"It helps them to create customized workflows, transform data, perform calculations, and consolidate multiple data sources into a target database."
"The most valuable features are the integrated properties and integrated connectivity."
"We use Alteryx Designer for analytics. It's quite helpful because once we set it up, we don't have to manually update or process data repeatedly. It saves time, especially for financial reporting, which is typically done monthly or quarterly. Once we set it up initially, we only need to make occasional updates if necessary."
"It has great UI."
"I like Alteryx Designer's drag-and-drop feature, where you drag a component, configure it and quickly run it."
"The solution is user-friendly."
"The product is very user-friendly."
"There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."
"The most valuable feature is real-time streaming."
"The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."
"The only thing is sometimes it can be a bit slow."
"Alteryx's data science and machine learning capabilities are where it loses out to DataIQ."
"Its price can be improved. It is too expensive for our country. Because of its high price, we can't sell Alteryx Designer in this region. We used to be their reseller partner. There is also an additional cost for automating the data and running the flows, which makes it even more expensive. It will be very good if they can let users automate the data for free. Other solutions like Tableau provide this feature for free."
"Its cost can sometimes be a drawback."
"The major concern in Alteryx Designer stems from the high costs attached to the product."
"When configuring the Logix, the UA could be improved."
"Alteryx could move faster to create a cloud equivalent of the desktop version of Designer."
"If the price were reduced then it would be more competitive."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
Alteryx Designer is ranked 9th in Data Integration with 27 reviews while Spring Cloud Data Flow is ranked 28th in Data Integration with 5 reviews. Alteryx Designer is rated 8.0, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Alteryx Designer writes "An easy-to-use automation solution with satisfying customer support". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". Alteryx Designer is most compared with Azure Data Factory, FME, Informatica PowerCenter, SSIS and Palantir Foundry, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks. See our Alteryx Designer vs. Spring Cloud Data Flow report.
See our list of best Data Integration vendors.
We monitor all 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.
