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Amazon MSK vs Apache Spark Streaming comparison

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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
"MSK has a private network that's an out-of-box feature."

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"The solution is very stable and reliable.""The solution is better than average and some of the valuable features include efficiency and stability.""As an open-source solution, using it is basically free."

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Cons
"It should be more flexible, integration-wise."

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"There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused.""We would like to have the ability to do arbitrary stateful functions in Python.""The solution itself could be easier to use."

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Questions from the Community
Top Answer:MSK has a private network that's an out-of-box feature.
Top Answer:MSK should be easier to integrate with other solutions. It should be more flexible, integration-wise. MSK has a private network that's an out-of-the-box feature. For our case, we needed something… more »
Top Answer:Behind the scenes, we use Kafka. We tried using MSK to collect old data surrounding inventory from e-commerce websites, for example.
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.
Ranking
8th
out of 38 in Streaming Analytics
Views
6,911
Comparisons
6,058
Reviews
1
Average Words per Review
410
Rating
8.0
10th
out of 38 in Streaming Analytics
Views
4,002
Comparisons
3,617
Reviews
3
Average Words per Review
333
Rating
7.7
Comparisons
Also Known As
Amazon Managed Streaming for Apache Kafka
Spark Streaming
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Overview

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that enables you to build and run applications that use Apache Kafka to process streaming data. Amazon MSK provides the control-plane operations, such as those for creating, updating, and deleting clusters.

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

Offer
Learn more about Amazon MSK
Learn more about Apache Spark Streaming
Sample Customers
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, eBay Inc.
Top Industries
VISITORS READING REVIEWS
Computer Software Company26%
Comms Service Provider15%
Media Company12%
Financial Services Firm11%
VISITORS READING REVIEWS
Computer Software Company24%
Comms Service Provider18%
Financial Services Firm10%
Media Company8%
Company Size
VISITORS READING REVIEWS
Small Business15%
Midsize Enterprise12%
Large Enterprise73%
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise13%
Large Enterprise69%
Buyer's Guide
Streaming Analytics
June 2022
Find out what your peers are saying about Databricks, Amazon, Solace and others in Streaming Analytics. Updated: June 2022.
610,812 professionals have used our research since 2012.

Amazon MSK is ranked 8th in Streaming Analytics with 1 review while Apache Spark Streaming is ranked 10th in Streaming Analytics with 3 reviews. Amazon MSK is rated 8.0, while Apache Spark Streaming is rated 7.6. The top reviewer of Amazon MSK writes "Allows you to build and run applications easily". On the other hand, the top reviewer of Apache Spark Streaming writes "Mature and stable with good scalability". Amazon MSK is most compared with Confluent, Amazon Kinesis, Azure Stream Analytics, Google Cloud Dataflow and Aiven for Apache Kafka, whereas Apache Spark Streaming is most compared with Amazon Kinesis, Azure Stream Analytics, Apache Flink, Spring Cloud Data Flow and PubSub+ Event Broker.

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.