We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The solution is better than average and some of the valuable features include efficiency and stability."
"The solution is very stable and reliable."
"This solution is very scalable and robust."
"There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused."
"The solution itself could be easier to use."
"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."
Spark Streaming makes it easy to build scalable fault-tolerant streaming applications.
Cloudera DataFlow (CDF), formerly Hortonworks DataFlow (HDF), is a scalable, real-time streaming analytics platform that ingests, curates, and analyzes data for key insights and immediate actionable intelligence.
Apache Spark Streaming is ranked 9th in Streaming Analytics with 2 reviews while Cloudera DataFlow is ranked 10th in Streaming Analytics with 1 review. Apache Spark Streaming is rated 7.6, while Cloudera DataFlow is rated 8.0. The top reviewer of Apache Spark Streaming writes "Mature and stable with good scalability". On the other hand, the top reviewer of Cloudera DataFlow writes "A scalable and robust platform for analyzing data". Apache Spark Streaming is most compared with Amazon Kinesis, Azure Stream Analytics, Spring Cloud Data Flow, Talend Data Streams and Databricks, whereas Cloudera DataFlow is most compared with Spring Cloud Data Flow, Confluent, Databricks, Hortonworks Data Platform and Amazon MSK.
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.