"This solution is very scalable and robust."
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"Databricks helps crunch petabytes of data in a very short period of time."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"The most valuable feature is the ability to use SQL directly with Databricks."
"Although their workflow is pretty neat, it still requires a lot of transformation coding; especially when it comes to Python and other demanding programming languages."
"Would be helpful to have additional licensing options."
"Pricing is one of the things that could be improved."
"The initial setup is difficult."
"Anyone who doesn't know SQL may find the product difficult to work with."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"I have seen better user interfaces, so that is something that can be improved."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
Cloudera DataFlow is ranked 10th in Streaming Analytics with 1 review while Databricks is ranked 1st in Streaming Analytics with 24 reviews. Cloudera DataFlow is rated 8.0, while Databricks is rated 7.8. The top reviewer of Cloudera DataFlow writes "A scalable and robust platform for analyzing data". On the other hand, the top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". Cloudera DataFlow is most compared with Spring Cloud Data Flow, Confluent, Hortonworks Data Platform, Amazon MSK and Amazon Kinesis, whereas Databricks is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Azure Stream Analytics, Alteryx and Dataiku Data Science Studio.
See our list of best Streaming Analytics vendors.
We monitor all Streaming Analytics 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.
