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Amazon Kinesis

About Amazon Kinesis

Amazon Kinesis collects, processes, and analyzes real-time video and data streams. Kinesis Data Streams is a fully managed, serverless streaming data service. Applications run on serverless infrastructure as part of a fully managed service. It handles streaming data from many sources with low latencies. Kinesis Data Streams offers three modes, each with its own billing options.

Products

  • Amazon Kinesis Data Streams: A fully managed, serverless streaming data service for ingesting and storing logs, events, clickstreams, and other streaming data in real time.

Used for

  • Building apps for application monitoring, fraud detection, and live leaderboards.
  • Performing real-time analytics on data traditionally analyzed using batch processing.
  • Processing streaming data from IoT devices and sending real-time alerts.
  • Streaming video from camera-equipped devices for playback, security monitoring, face detection, and ML.

From Amazon Kinesis's own website, read 2026-10-23. How we build listings.

How to evaluate Streaming & Real-Time Analytics

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Amazon Kinesis. It comes from our Streaming Data & Event Processing buyer guide.

25%
Throughput, Latency & Durability
Sustained throughput and tail latency at your partition count, ordering and exactly-once / at-least-once delivery guarantees, replication and multi-AZ durability, retention limits, and behavior under broker failure and rebalancing
20%
Operating Model & Architecture
Self-managed vs. fully managed vs. serverless vs. bring-your-own-cloud, KRaft (post-ZooKeeper) operations, diskless / object-storage-backed options, autoscaling, partition rebalancing, and upgrade and patching burden on your team
20%
Kafka-API Compatibility & Portability
Fidelity of the Kafka protocol (consumer groups, transactions, compaction), reuse of existing clients, connectors and tooling, lock-in to a single cloud, and the realistic effort to migrate in or out
15%
Stream Processing & Ecosystem
Native or integrated processing (Flink, Kafka Streams, Spark Structured Streaming, ksqlDB), connector catalog (CDC, sinks, sources), schema registry and governance, and direct landing into Iceberg / Delta lakehouse tables
10%
Security, Governance & Compliance
Encryption in transit and at rest, mTLS / SASL / OAuth and RBAC, audit logging, private networking, data residency and BYOC data-boundary control, and SOC 2 / ISO 27001 / GDPR coverage
10%
Cost Model & Economics at Scale
Pricing unit (capacity / throughput / consumption), inter-AZ and egress charges, storage and retention cost, processing billed separately, and how the bill behaves as volume, partitions, and connectors grow

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Quick Facts

aws.amazon.com/kinesis Pricing page
CategoryData & Analytics
SubcategoryStreaming & Real-Time Analytics
DeploymentFully managed, Serverless
PricingUsage-based (pay-as-you-go)

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Keep reading

Buyer Guide
Real-Time Analytics Databases
Job 06
Secure and comply

AI agents act on systems with their own identities, and auditors and boards ask about them.

Job 05
Modernize the estate

AI agents need clean data and systems they can call, and old systems block both.