Amazon Kinesis Data Streams Reviews & Product Details

We had to receive events in realtime from remote Android devices without burdening our servers with repeated polls. We solved it by using AWS IoT to publish events from the android device and integrated IoT streams with Kinesis to receive events in our service as soon as the event is published from Android application. Review collected by and hosted on G2.com.

There are no apparent issues with Kinesis data streams in terms of performance or usability, but in the startup world, the pricing is a bit on the higher side. If pricing can be adjusted, that would give choice for smaller companies to use it. Review collected by and hosted on G2.com.

The ability to push aggregated logs from various instances/machines to a centralised location. Managed service so no operation and maintenance overhead. The ability to process logs from applications and derive metrics out of it in real time. Review collected by and hosted on G2.com.

There's nothing but if there's a way to auto increase the number of streams required, it'd help reduce the manual effort of increasing and decreasing the streams. Review collected by and hosted on G2.com.

Integration with host of other tools and services. Review collected by and hosted on G2.com.

Complexity. Kinesis is complex to implement than other counterparts Review collected by and hosted on G2.com.

All is good with this service. super nice and very easy solution. The log stream analysis is very powerful and can analyze a large number of data at one time.And the reporting function is also nice Review collected by and hosted on G2.com.

Nothing to report about this service. When I used this product I never had a bad time with this application. All the interfaces and tools are working as expected and you can ask support from AWS Customer support anytime. Review collected by and hosted on G2.com.

Transporting a lot of encrypted data quickly works very well. The ability to increase visibility timeout in the case of ingestion downtime or backup has helped our organization during incidents. Review collected by and hosted on G2.com.

Hard to consume the data and see what is on the stream. For example, if we wanted to see a message that is causing issues (poison pill), we have to commit logging to the app that is ingestioning from the stream. It is also difficult to resume at a specific time or rely on stream checkpointing. Review collected by and hosted on G2.com.

Fast, scalability, resilience, monitoring, custom dashboards, documentation, shardings (based on partition key), etc. Review collected by and hosted on G2.com.

No proper mechanism to go deep down and understand its architecture deeply to tweak some minute changes in our approach which can minimize errors drastically. Sometimes knowledge gap/confusion is being felt and required considerable time and effort to be put into it. Review collected by and hosted on G2.com.

No server to manage. Easy to scale, process the data easily. No need to worry about the internal servers. Using Firehose we can easily store in S3 and any storage. Review collected by and hosted on G2.com.

Little bit more costly. As the current charges are shard-based. So hope for some discount according to the data usage. Otherwise, all are good. No such big dislike!! Review collected by and hosted on G2.com.

With the availability of the kinesis and the controls provided by kinesis, like data size and big data size, we can increase the shards. The retention period is a good feature for the fail safe. Review collected by and hosted on G2.com.

Unavailability of complete python KCL SDK. I found the implementation of KCL SDK for python that was running java code under the hood. It was difficult to find the reason for the failure. Review collected by and hosted on G2.com.

Time to market is very fast plus H/W management non existent thanks to Cloud Review collected by and hosted on G2.com.

It can be - from my perspective- more developer friendly Review collected by and hosted on G2.com.

- No infrastructure or maintenance overhead compared to other solutions like Kafka

- Tight integration with other AWS services like Lambda and s3

- Highly reliable and scales to thousands of messages per second effortlessly

- Very cost-effective and pay as you go Review collected by and hosted on G2.com.

We haven't faced any major issues so far except for occasional rate limit errors - but they are very negligible in comparison to the millions of messages it processes in our system. Review collected by and hosted on G2.com.