Ease of use. From the time we decided to use Kinesis to the time I had a POC done was about 3 hours. Review collected by and hosted on G2.com.

The producer library and the consumer library were obviously written by different teams. Instantiating a producer is way different than consumers. Review collected by and hosted on G2.com.

The best thing about kinesis is we can pass on the data to any other service on aws through kinesis firehose. Its the SaaS version of Apache kafka. With very high throughput distributed. We can use it as a pub sub system as well. Review collected by and hosted on G2.com.

I dislike that we can not make small query data in to a stream directly for that we have to use Kinesis data analytics and that is an extra thing to do. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Limitations of a off the self solution makes in difficult to solve some use cases. Review collected by and hosted on G2.com.

Speed, analytics, integration, scalability Review collected by and hosted on G2.com.

I do no have a dislike because it solves my requirement Review collected by and hosted on G2.com.

It's very easy to get started and push data in without having to provision anything or set up anything with multiple consumers reading the data independently. Review collected by and hosted on G2.com.

The library to consume data (KCL) is very clunky and heavy, has additional dynamo db tables that come with it and are a bit messy to manage Review collected by and hosted on G2.com.

Managed service with scale, so no maintenance overhead. Review collected by and hosted on G2.com.

Limit to 40MB or 1 minute, which restricts real-time needs. Review collected by and hosted on G2.com.

Very simple setup, very little overhead managing the cluster Review collected by and hosted on G2.com.

Working in Java (and Kotlin), had to go through many examples on Github to figure out just how to use it properly. Review collected by and hosted on G2.com.

Streaming replacement for Kafka, the ability to support large workloads and the fact that it is a managed service. Review collected by and hosted on G2.com.

No support for Direct streaming like Kafka does Review collected by and hosted on G2.com.

sdk documentation, plus the usual speed, scale, availability etc but its integration with other aws services makes it so much more useful Review collected by and hosted on G2.com.

some of the record/batch size limitations and need to manage it to prevent unexpected failures Review collected by and hosted on G2.com.

kinesis is easy to setup, and get started with Review collected by and hosted on G2.com.

kinesis does not have golang sdk. kinesis does not have a good strategy for having multiple readers. Using kafka was much easier for users Review collected by and hosted on G2.com.