Amazon Kinesis Data Streams offers extremely robust real-time data streaming capabilities. It scales effortlessly by adding shards to meet throughput demand, and supports enhanced fan-out so multiple consumer applications can read in parallel with dedicated throughput.
The seamless integration with other AWS services (Lambda, S3, DynamoDB, Redshift, Glue, etc.) makes it very convenient if your entire infrastructure lives on AWS.
Its durability is solid — data is synchronously replicated across three Availability Zones in a region, ensuring high availability and resilience.
In my use cases, Kinesis has consistently delivered low-latency streaming and reliable performance even in high-load conditions. Review collected by and hosted on G2.com.
The initial learning curve is steep, especially if one is new to streaming architectures or AWS.
Cost management can become complex — as throughput, shard count, retention periods, and consumer patterns grow, pricing can escalate.
The added configuration needed to tie together multiple AWS services (e.g. setting up IAM roles, stream consumers, data pipelines) can make the setup workflow non-trivial.
In some cases, when a consumer falls behind (backlog), scaling out to catch up can be constrained by shard throughput limitations. Review collected by and hosted on G2.com.
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This reviewer was offered a nominal gift card as thank you for completing this review.
Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review.
