Compare Amazon Kinesis vs. Apache Spark Streaming

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Most Helpful Review
Find out what your peers are saying about Databricks, Solace, Amazon and others in Streaming Analytics. Updated: June 2021.
521,690 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
"Everything is hosted and simple.""Amazon Kinesis also provides us with plenty of flexibility.""Amazon Kinesis has improved our ROI.""Its scalability is very high. There is no maintenance and there is no throughput latency. I think data scalability is high, too. You can ingest gigabytes of data within seconds or milliseconds.""The most valuable feature is that it has a pretty robust way of capturing things.""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.""Great auto-scaling, auto-sharing, and auto-correction features.""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 better than average and some of the valuable features include efficiency and stability."

More Apache Spark Streaming Pros »

Cons
"Could include features that make it easier to scale.""I think the default settings are far too low.""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.""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.""If there were better documentation on optimal sharding strategies then it would be helpful.""Kinesis is good for Amazon Cloud but not as suitable for other cloud vendors.""Lacks first in, first out queuing.""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."

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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."

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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
3rd
out of 35 in Streaming Analytics
Views
6,014
Comparisons
5,249
Reviews
9
Average Words per Review
1,229
Rating
8.4
10th
out of 35 in Streaming Analytics
Views
3,377
Comparisons
3,199
Reviews
1
Average Words per Review
224
Rating
6.0
Popular Comparisons
Also Known As
Amazon AWS Kinesis, AWS Kinesis, Kinesis
Spark Streaming
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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 Company25%
Media Company22%
Comms Service Provider17%
Financial Services Firm8%
VISITORS READING REVIEWS
Computer Software Company30%
Comms Service Provider15%
Media Company10%
Financial Services Firm9%
Company Size
REVIEWERS
Small Business43%
Midsize Enterprise43%
Large Enterprise14%
No Data Available
Find out what your peers are saying about Databricks, Solace, Amazon and others in Streaming Analytics. Updated: June 2021.
521,690 professionals have used our research since 2012.

Amazon Kinesis is ranked 3rd in Streaming Analytics with 9 reviews while Apache Spark Streaming is ranked 10th in Streaming Analytics with 1 review. Amazon Kinesis is rated 8.4, while Apache Spark Streaming is rated 6.0. 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 "Efficient, better then average, but overly developer-focused ". Amazon Kinesis is most compared with Apache Flink, Amazon MSK, Google Cloud Dataflow, Confluent and Spring Cloud Data Flow, whereas Apache Spark Streaming is most compared with Azure Stream Analytics, Spring Cloud Data Flow, Talend Data Streams, Databricks and IBM Streams.

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