We performed a comparison between Spring Cloud Data Flow and SSIS 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."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 product is very user-friendly."
"The most valuable feature is real-time streaming."
"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."
"Overall, it's a good product."
"There are many good features in this solution including the data fields, database integration, support for SQL views, and the lookups for matching information."
"Built in reports show package execution and messages. Logging can also be customized so only what is needed is logged. There is also an excellent logging replacement called BiXpress that provides both historical and real-time monitoring which is more efficient and much more robust than the built-in logging capabilities. And none of this requires custom coding to make it useful unlike many other ETL tools."
"The scalability of SSIS is good."
"Data Flows are the main component we use. These can range from a simple source to sink ETL, to many source to many sink dataflows."
"It has the ability to be deployed into the cloud through Data Factory, and run completely as a software as a service in the cloud."
"I have used most of the standard SQL features, but the ones that stand out are the Data Flows and Bulk Import."
"The setup was easy. All Microsoft products are easy to set up."
"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."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"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."
"Sometimes we need to connect to AWS to get additional data sources, so we have to install some external LAN and not a regular RDBMS. We need external tools to connect. It would be great if SSIS included these tools. I'd also like some additional features for row indexing and data conversion."
"The creation of the measure in the DAC's model could be improved."
"We In upgrading SSIS, we encountered challenges fixing SQL Server and performance issues, including problems during a failover in our data warehouse."
"It hangs a lot of the time."
"We purchase an add on called task factory primarily to allow bulk delete, update and upsert capability. I'd like to see this be part of the standard package."
"I would like to see better integration with Power BI."
"There was also not enough instructions from Microsoft in regards to this application or this technology, which can easily be improved upon."
"It's difficult to refactor SSIS. It gets cumbersome to reuse the solution."
Spring Cloud Data Flow is ranked 28th in Data Integration with 5 reviews while SSIS is ranked 2nd in Data Integration with 69 reviews. Spring Cloud Data Flow is rated 8.0, while SSIS is rated 7.6. The top reviewer of Spring Cloud Data Flow writes "Provides ease of integration with other cloud platforms ". On the other hand, the top reviewer of SSIS writes "Maintaining the solution and contacting its support team is easy". Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and TIBCO BusinessWorks, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, IBM InfoSphere DataStage, Oracle Data Integrator (ODI) and AWS Glue. See our SSIS vs. Spring Cloud Data Flow report.
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