Question 1

What's the difference between Kinesis and Amazon SQS?

Accepted Answer

Kinesis is built for high-throughput streaming where many consumers may read the same ordered stream of events (for example, analytics, monitoring, and real-time dashboards). Amazon SQS is a message queue designed to decouple systems, where messages are typically processed by one consumer (or one consumer group) and then removed from the queue. Use Kinesis when you need stream processing and multiple readers; use SQS when you need reliable task/work distribution between services.

Question 2

When should I use Kinesis?

Accepted Answer

Use Kinesis when you need to ingest and process continuous data in near real time—such as clickstreams, IoT telemetry, application logs, fraud detection signals, or operational metrics. It’s a good fit when event volume is high, you need low-latency processing, you want multiple applications to consume the same stream, or you need to fan out data to analytics, storage, and monitoring tools.

Question 3

How much does Kinesis cost?

Accepted Answer

Pricing depends on which Kinesis capability you use and how much data you ingest, process, and store. For Kinesis Data Streams, major cost drivers include stream capacity (shards or on-demand throughput), data retention duration, and enhanced fan-out consumers. For Kinesis Data Firehose, costs typically depend on the volume of data ingested and any optional data transformation (for example, AWS Lambda). For Kinesis Data Analytics, costs are based on the resources used to run streaming SQL or Apache Flink applications. Always estimate using your expected records/second, average record size, number of consumers, and retention needs.

Kinesis

Definition

Real-World Example

Related Terms

Cloud Provider Equivalencies

See Kinesis in Action

Real-Time Analytics Data Pipeline

Scalable IoT Device Management System

AWS Education Platform for Schools

Explore More Cloud Computing Terms