Compare Apache Spark Streaming vs. Spring Cloud Data Flow

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Find out what your peers are saying about Apache Spark Streaming vs. Spring Cloud Data Flow and other solutions. Updated: September 2021.
534,226 professionals have used our research since 2012.
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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"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."

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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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"Some of the features, like the monitoring tools, are not very mature and are still evolving.""The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."

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Pricing and Cost Advice
Information Not Available
"This is an open-source product that can be used free of charge."

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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: The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation. The documentation on offer is not that… more »
Top Answer: Mostly the use cases are related to building a data pipeline. There are multiple microservices that are working in the Spring Cloud Data Flow infrastructure, and we are building a data pipeline… more »
Top Answer: While the deployment is on-premises, the data center is not on-premises. It's in a different geographical location, however, it was the client's own data center. We deployed there, and we installed… more »
Ranking
9th
out of 36 in Streaming Analytics
Views
3,478
Comparisons
3,275
Reviews
2
Average Words per Review
334
Rating
7.5
7th
out of 36 in Streaming Analytics
Views
6,363
Comparisons
5,064
Reviews
2
Average Words per Review
1,101
Rating
8.0
Comparisons
Also Known As
Spark Streaming
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Overview

Spark Streaming makes it easy to build scalable fault-tolerant streaming applications.

Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

Offer
Learn more about Apache Spark Streaming
Learn more about Spring Cloud Data Flow
Sample Customers
UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, eBay Inc.
Information Not Available
Top Industries
VISITORS READING REVIEWS
Computer Software Company29%
Comms Service Provider15%
Media Company10%
Financial Services Firm9%
VISITORS READING REVIEWS
Computer Software Company29%
Financial Services Firm14%
Comms Service Provider13%
Retailer6%
Find out what your peers are saying about Apache Spark Streaming vs. Spring Cloud Data Flow and other solutions. Updated: September 2021.
534,226 professionals have used our research since 2012.

Apache Spark Streaming is ranked 9th in Streaming Analytics with 2 reviews while Spring Cloud Data Flow is ranked 7th in Streaming Analytics with 2 reviews. Apache Spark Streaming is rated 7.6, while Spring Cloud Data Flow 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 Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". Apache Spark Streaming is most compared with Amazon Kinesis, Azure Stream Analytics, Talend Data Streams, Databricks and IBM Streams, whereas Spring Cloud Data Flow is most compared with Apache Flink, Cloudera DataFlow, TIBCO BusinessWorks, Mule Anypoint Platform and StreamSets. See our Apache Spark Streaming vs. Spring Cloud Data Flow report.

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