Apache Spark Streaming vs. Cloudera DataFlow

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Spark Streaming
Score 8.7 out of 10
N/A
Apache Spark Streaming is a scalable fault-tolerant streaming processing system that natively supports both batch and streaming workloads.N/A
Cloudera DataFlow
Score 8.9 out of 10
N/A
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. It is designed to process real-time data streaming at high volume and high scale.N/A
Pricing
Apache Spark StreamingCloudera DataFlow
Editions & Modules
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Offerings
Pricing Offerings
Apache Spark StreamingCloudera DataFlow
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache Spark StreamingCloudera DataFlow
Top Pros

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Top Cons

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Features
Apache Spark StreamingCloudera DataFlow
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Apache Spark Streaming
8.4
1 Ratings
4% above category average
Cloudera DataFlow
-
Ratings
Real-Time Data Analysis8.01 Ratings00 Ratings
Visualization Dashboards9.01 Ratings00 Ratings
Data Ingestion from Multiple Data Sources9.01 Ratings00 Ratings
Low Latency8.01 Ratings00 Ratings
Integrated Development Tools8.01 Ratings00 Ratings
Data wrangling and preparation8.01 Ratings00 Ratings
Linear Scale-Out8.01 Ratings00 Ratings
Machine Learning Automation9.01 Ratings00 Ratings
Data Enrichment9.01 Ratings00 Ratings
Best Alternatives
Apache Spark StreamingCloudera DataFlow
Small Businesses
IBM Streams
IBM Streams
Score 9.0 out of 10
IBM Streams
IBM Streams
Score 9.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 7.4 out of 10
Confluent
Confluent
Score 7.4 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 8.0 out of 10
Spotfire Streaming
Spotfire Streaming
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache Spark StreamingCloudera DataFlow
Likelihood to Recommend
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Apache Spark StreamingCloudera DataFlow
Likelihood to Recommend
Apache
Apache Spark Streaming is a tool that we are using for almost a year and is excellent in managing batch processing. It is user-friendly. Using it, we can even process our massive data in fractions of seconds. Its pricing is its other plus point. Only its In-memory processing is its demerit as it occupies a large memory.
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Cloudera
No answers on this topic
Pros
Apache
  • It is amazing in solving complicated transformative logic.
  • It is straightforward to program.
  • It is a very quick tool.
  • It processes large data within a fraction of seconds.
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Cloudera
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Cons
Apache
  • There must be more documentation.
  • It is a profoundly complex tool.
  • Its in-memory processing consumes massive memory.
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Cloudera
No answers on this topic
Alternatives Considered
Apache
Apache Spark Streaming stands above all the huge data transformative tools because of its speed of processing which was quite slow in Presto as it takes a lot of our time in the data processing. Spark, comfortably provides integration with Jupyter like notebook environment. and Spark's combination with Jupyter and Python results in enhancing the speed .
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Cloudera
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Return on Investment
Apache
  • Cost and time-effective tool for our business.
  • We can integrate with Jupyter with many conveniences.
  • Its high-speed data processing has proved beneficial for us.
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Cloudera
No answers on this topic
ScreenShots