Compare Apache Spark Streaming vs. Cloudera DataFlow

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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"The solution is better than average and some of the valuable features include efficiency and stability.""The solution is very stable and reliable."

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"This solution is very scalable and robust."

More Cloudera DataFlow Pros »

Cons
"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."

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"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."

More Cloudera DataFlow Cons »

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Questions from the Community
Top Answer: The solution is better than average and some of the valuable features include efficiency and stability.
Top Answer: There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused. For example, it is still not plug and play and use as… more »
Top Answer: The primary use of the solution is to implement predictive maintenance qualities.
Top Answer: This solution is very scalable and robust.
Top Answer: Although its workflow is pretty neat, it still requires a lot of transformation coding; especially when it comes to Python and other demanding programming languages. It should be more like other… more »
Top Answer: We use this solution for sentimental analysis and fraud detection. We also use it to analyze product royalties.
Ranking
9th
out of 36 in Streaming Analytics
Views
3,478
Comparisons
3,275
Reviews
2
Average Words per Review
334
Rating
7.5
10th
out of 36 in Streaming Analytics
Views
1,733
Comparisons
1,525
Reviews
1
Average Words per Review
252
Rating
8.0
Comparisons
Also Known As
Spark Streaming
CDF, Hortonworks DataFlow, HDF
Learn More
Overview

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.

Offer
Learn more about Apache Spark Streaming
Learn more about Cloudera DataFlow
Sample Customers
UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, eBay Inc.
Clearsense
Top Industries
VISITORS READING REVIEWS
Computer Software Company29%
Comms Service Provider15%
Media Company10%
Financial Services Firm9%
VISITORS READING REVIEWS
Computer Software Company31%
Comms Service Provider18%
Financial Services Firm9%
Media Company8%
Find out what your peers are saying about Databricks, Solace, Amazon and others in Streaming Analytics. Updated: September 2021.
535,919 professionals have used our research since 2012.

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.