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Amazon Kinesis vs Apache Spark Streaming comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon Kinesis and Apache Spark Streaming based on real PeerSpot user reviews.

Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Amazon Kinesis vs. Apache Spark Streaming report (Updated: September 2022).
633,952 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The scalability is pretty good.""Everything is hosted and simple.""Great auto-scaling, auto-sharing, and auto-correction features.""Amazon Kinesis also provides us with plenty of flexibility.""Amazon Kinesis has improved our ROI.""Kinesis is a fully managed program streaming application. You can manage any infrastructure. It is also scalable. Kinesis can handle any amount of data streaming and process data from hundreds, thousands of processes in every source with very low latency.""The solution works well in rather sizable environments.""The feature that I've found most valuable is the replay. That is one of the most valuable in our business. We are business-to-business so replay was an important feature - being able to replay for 24 hours. That's an important feature."

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

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Cons
"Kinesis is good for Amazon Cloud but not as suitable for other cloud vendors.""Kinesis Data Analytics needs to be improved somewhat. It's SQL based data but it is not as user friendly as MySQL or Athena tools.""I think the default settings are far too low.""In general, the pain point for us was that once the data gets into Kinesis there is no way for us to understand what's happening because Kinesis divides everything into shards. So if we wanted to understand what's happening with a particular shard, whether it is published or not, we could not. Even with the logs, if we want to have some kind of logging it is in the shard.""Could include features that make it easier to scale.""Something else to mention is that we use Kinesis with Lambda a lot and the fact that you can only connect one Stream to one Lambda, I find is a limiting factor. I would definitely recommend to remove that constraint.""In order to do a successful setup, the person handling the implementation needs to know the solution very well. You can't just come into it blind and with little to no experience.""Lacks first in, first out queuing."

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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.""The solution itself could be easier to use.""We would like to have the ability to do arbitrary stateful functions in Python."

More Apache Spark Streaming Cons →

Pricing and Cost Advice
  • "Under $1,000 per month."
  • "The solution's pricing is fair."
  • More Amazon Kinesis Pricing and Cost Advice →

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    633,952 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:The feature that I've found most valuable is the replay. That is one of the most valuable in our business. We are business-to-business so replay was an important feature - being able to replay for 24… more »
    Top Answer:I think there is a paid version only, there is no free version. I think it is possibly on the expensive side. I did not go too deep into pricing, because our business did not care about pricing that… more »
    Top Answer:In general, the pain point for us was that once the data gets into Kinesis there is no way for us to understand what's happening because Kinesis divides everything into shards. So if we wanted to… more »
    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
    2nd
    out of 38 in Streaming Analytics
    Views
    10,235
    Comparisons
    7,687
    Reviews
    10
    Average Words per Review
    1,159
    Rating
    8.4
    11th
    out of 38 in Streaming Analytics
    Views
    4,249
    Comparisons
    3,837
    Reviews
    3
    Average Words per Review
    333
    Rating
    7.7
    Comparisons
    Also Known As
    Amazon AWS Kinesis, AWS Kinesis, Kinesis
    Spark Streaming
    Learn More
    Overview

    Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.

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

    Offer
    Learn more about Amazon Kinesis
    Learn more about Apache Spark Streaming
    Sample Customers
    Zillow, Netflix, Sonos
    UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, eBay Inc.
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm13%
    Comms Service Provider13%
    Media Company11%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm14%
    Comms Service Provider14%
    Media Company6%
    Company Size
    REVIEWERS
    Small Business50%
    Midsize Enterprise38%
    Large Enterprise13%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise13%
    Large Enterprise71%
    Buyer's Guide
    Amazon Kinesis vs. Apache Spark Streaming
    September 2022
    Find out what your peers are saying about Amazon Kinesis vs. Apache Spark Streaming and other solutions. Updated: September 2022.
    633,952 professionals have used our research since 2012.

    Amazon Kinesis is ranked 2nd in Streaming Analytics with 10 reviews while Apache Spark Streaming is ranked 11th in Streaming Analytics with 3 reviews. Amazon Kinesis is rated 8.4, while Apache Spark Streaming is rated 7.6. The top reviewer of Amazon Kinesis writes "Easily replay your streaming data with this reliable solution". On the other hand, the top reviewer of Apache Spark Streaming writes "Mature and stable with good scalability". Amazon Kinesis is most compared with Azure Stream Analytics, Apache Flink, Confluent, Amazon MSK and Google Cloud Dataflow, whereas Apache Spark Streaming is most compared with Apache Flink, Azure Stream Analytics, Spring Cloud Data Flow, Databricks and Confluent. See our Amazon Kinesis vs. Apache Spark Streaming report.

    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.