Amazon Kinesis Data Streams
Event stream processing software
Stream analytics software
Database software
Big data software
Data integration tools
Cloud data integration software
- Features
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- Ease of management
- Quality of support
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What is Amazon Kinesis Data Streams
Amazon Kinesis Data Streams is a managed service for ingesting, buffering, and distributing real-time event data streams in AWS. It is used by engineering and data teams to build streaming pipelines for application telemetry, clickstreams, IoT data, and log/event ingestion. The service organizes data into shards with configurable retention and supports multiple concurrent consumers via enhanced fan-out. It integrates closely with other AWS services for processing, storage, and analytics.
Managed, scalable stream ingestion
Kinesis Data Streams provides a fully managed way to collect and buffer high-throughput event streams without operating a streaming cluster. Capacity scales by adjusting shard count (or using on-demand mode), and the service handles replication and availability within a region. This fits teams that want AWS-native streaming ingestion with predictable operational responsibilities.
Strong AWS ecosystem integration
The service integrates natively with AWS IAM for access control and with AWS services commonly used for stream processing and storage (for example, AWS Lambda, Kinesis Data Analytics, Kinesis Data Firehose, and Amazon S3). These integrations reduce custom plumbing for common ingestion-to-processing patterns. For organizations standardizing on AWS, this can simplify architecture and governance.
Multiple consumer patterns supported
Kinesis supports shared throughput consumers and enhanced fan-out consumers to enable multiple applications to read the same stream concurrently. It also supports ordering guarantees per shard and checkpointing patterns through client libraries. This makes it suitable for event-driven microservices and near-real-time analytics where several downstream systems need the same events.
Shard-based capacity management
Throughput and parallelism depend on shard configuration, which can require planning and ongoing tuning as traffic changes. Hot partitions can occur when event keys are unevenly distributed, reducing effective throughput. While on-demand mode reduces planning, it does not eliminate the need to design partition keys and consumer scaling carefully.
Limited retention and replay
Kinesis Data Streams is designed for streaming ingestion and short-to-medium retention rather than long-term storage. Retention is configurable but bounded, and long-term replay typically requires archiving to another system. Teams needing durable, long-lived event logs may need additional components for retention and reprocessing workflows.
AWS-centric deployment model
Kinesis Data Streams is an AWS service and does not run as a self-managed or multi-cloud-native offering. This can increase dependency on AWS-specific APIs, security models, and surrounding services. Organizations with strict multi-cloud portability requirements may face additional integration and migration work.
Plan & Pricing
Pricing model: Pay-as-you-go (usage-based). Prices are region-specific — examples below are the US East (N. Virginia) rates shown on the vendor pricing page.
Free tier/trial: See fields below; not part of this pricing block.
Primary pricing components (US-East examples from official AWS pricing page):
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On‑demand Standard mode:
- Data ingested (Data-In): $0.08 per GB.
- Data retrieved (Data-Out): $0.040 per GB.
- Per-stream hourly charge: $0.040 per stream-hour (charged for each stream in On‑demand Standard mode).
- Notes: Extended data retention (beyond 24 hours, up to 7 days) and Long‑term data retention (beyond 7 days, up to 365 days) are additional optional charges.
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On‑demand Advantage mode:
- Data ingested (Data-In): $0.032 per GB (US‑East example).
- Data retrieved (Data-Out): $0.016 per GB (US‑East example).
- No per-stream hourly charge.
- Account-level minimum throughput commitment: 25 MB/s ingest and 25 MB/s retrieval (shortfall charges apply if aggregate throughput is below this minimum).
- Notes: Enhanced Fan‑Out is included (no extra fan‑out charge) in On‑demand Advantage; extended/long‑term retention incur additional storage/retrieval charges.
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Provisioned mode (capacity-based):
- Shard hour: $0.015 per shard-hour.
- PUT Payload Unit (25 KB) charge: $0.014 per 1 million PUT Payload Units.
- Enhanced Fan‑Out (optional):
- Enhanced fan‑out consumer-shard hour: $0.015 per consumer-shard hour (additive per data consumer).
- Enhanced fan‑out data retrievals: $0.013 per GB retrieved (for enhanced fan‑out consumers).
- Extended data retention (up to 7 days): additional $0.020 per shard-hour.
- Long‑term data retention (beyond 7 days, up to 365 days): storage $0.023 per GB‑month (for data beyond 7 days) and retrieval (GetRecords/API) $0.021 per GB for long‑term retrievals.
- Notes: Default 24‑hour retention is included in Data‑Ingested charges; retrieval of data stored for the 24‑hour default or up to 7 days (extended retention) using GetRecords is free; long‑term retrievals beyond 7 days incur per‑GB retrieval charges unless using enhanced fan‑out consumers.
Other notes / behavior (official):
- Kinesis Data Streams uses a pay‑as‑you‑go model with no upfront costs or long‑term commitments stated on the pricing page; however specific modes (On‑demand Advantage) include minimum throughput commitments that can cause shortfall charges.
- Data transfer between producers and Kinesis in the same AWS region is not charged by Kinesis; standard AWS data transfer charges apply for cross‑region or external transfers.
(These rates and terms were taken directly from the official AWS Amazon Kinesis Data Streams pricing page and related AWS documentation; rates vary by AWS Region — the examples above are the US‑East (N. Virginia) rates shown on the pricing page.)
Seller details
Amazon Web Services, Inc.
Seattle, Washington, USA
2006
Subsidiary
https://aws.amazon.com/
https://x.com/awscloud
https://www.linkedin.com/company/amazon-web-services/
