"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"It's great technology."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"It can send out large data amounts."
"Ability to work collaboratively without having to worry about the infrastructure."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"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."
"There are no direct connectors — they are very limited."
"The integration of data could be a bit better."
"Would be helpful to have additional licensing options."
"Implementation of Databricks is still very code heavy."
"There should be better integration with other platforms."
"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."
"Pricing is one of the things that could be improved."
"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
Databricks is ranked 1st in Streaming Analytics with 22 reviews while Spring Cloud Data Flow is ranked 7th in Streaming Analytics with 2 reviews. Databricks is rated 7.8, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". Databricks is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Azure Stream Analytics, Alteryx and Dataiku Data Science Studio, whereas Spring Cloud Data Flow is most compared with Apache Flink, TIBCO BusinessWorks, Mule Anypoint Platform and Cloudera DataFlow. See our Databricks vs. Spring Cloud Data Flow report.
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