- Home
- ...
- Stream Analytics Software
- Amazon Kinesis Data Streams
- Spark Streaming
- Amazon Kinesis Data Streams-vs-Spark Streaming
Compare Amazon Kinesis Data Streams and Spark Streaming 
- Users report that Amazon Kinesis Data Streams excels in real-time processing with a score of 9.4, while Spark Streaming follows closely with a score of 9.0. Reviewers mention that Kinesis's ability to handle high-throughput data streams makes it a preferred choice for applications requiring immediate data insights.
- Reviewers say that Kinesis Data Streams offers superior ease of setup with a score of 8.6 compared to Spark Streaming's 7.6. Users on G2 highlight that Kinesis's straightforward configuration process allows teams to get started quickly without extensive setup time.
- Users say that Spark Streaming shines in mobile user support, scoring 7.4, while Kinesis only scores 5.7. Reviewers mention that Spark's mobile capabilities make it more accessible for teams needing to monitor and manage data streams on the go.
- G2 users report that both products have similar ratings for reporting and analytics, each scoring 8.8. However, users mention that Kinesis Data Streams provides more robust integration APIs, scoring 9.0, which facilitates easier connections with other services compared to Spark Streaming's score of 8.3.
- Reviewers mention that Kinesis Data Streams has a slight edge in data transformation capabilities, scoring 9.2, while Spark Streaming scores 8.9. Users report that Kinesis's features allow for more complex data manipulation, which is crucial for businesses needing detailed analytics.
- Users on G2 highlight that Spark Streaming offers better customization options with a score of 8.4 compared to Kinesis's 7.6. Reviewers say that this flexibility allows teams to tailor the software to their specific needs, enhancing overall user experience.
Kinesis is allows us to move data into our dataware with minimum hassel. The build in backup services and optimizations built in around our use case. In addition, the Kinesis agent makes it easy to get data from our platform into our pipeline.
While there are some potential challenges and limitations to using Amazon Kinesis Data Streams, many users find that the benefits of the service outweigh the costs and complexities, making it a powerful tool for real-time data streaming and processing.
APIs of Spark is very powerful for data pre processing. SQL interface is very user friendly Faster compared to any other big data tool
I like everything I’ve seen with spark so far. Can be complicated to get started using
Kinesis is allows us to move data into our dataware with minimum hassel. The build in backup services and optimizations built in around our use case. In addition, the Kinesis agent makes it easy to get data from our platform into our pipeline.
APIs of Spark is very powerful for data pre processing. SQL interface is very user friendly Faster compared to any other big data tool
While there are some potential challenges and limitations to using Amazon Kinesis Data Streams, many users find that the benefits of the service outweigh the costs and complexities, making it a powerful tool for real-time data streaming and processing.
I like everything I’ve seen with spark so far. Can be complicated to get started using
