Amazon Kinesis Data Streams and Amazon Kinesis Data Firehose are both services for
ingesting and processing streaming data in AWS.
But they serve
different use cases and levels of complexity.
Kinesis
Data Streams (KDS)
A real-time,
fully managed, low-latency streaming service designed for custom processing.
Used When twtech Needs:
- Real-time (sub-second) data processing.
- To build custom applications (e.g., analytics, anomaly detection).
- Fine-grained control over data processing and throughput.
- Integration with AWS Lambda, Kinesis Data Analytics, or custom consumers via Kinesis Client Library (KCL).
Key
Features:
- Manual scaling or auto-scaling (via enhanced fan-out and on-demand mode).
- Up to 7 days data retention (default is 24 hours).
- Custom retry logic and multiple consumers.
Example
Use Case:
A fraud detection system that processes
transaction events in real-time using custom logic and machine learning models.
Kinesis Data Firehose
A fully
managed, near real-time streaming ingestion service designed
for simple, automatic
delivery to AWS destinations.
Used When twtech Needs:
- A no-code/no-maintenance way to load streaming data into S3, Redshift, OpenSearch, or 3rd-party tools.
- Simple data transformation via AWS Lambda or built-in format conversion (e.g., JSON → Parquet).
- Near real-time processing (latency: 1–60 seconds).
Key
Features:
- Automatic scaling.
- Built-in data transformation, compression, and encryption.
- No need to write consumer code.
Example Use Case:
Streaming website logs directly to an S3 bucket in compressed format for later analysis with Athena.
Quick Comparison Table:
|
Feature |
Kinesis Data Streams |
Kinesis Data Firehose |
|
Latency |
Sub-second |
~1 min |
|
Custom
Processing |
Yes (Lambda, KCL, custom apps) |
Minimal (Lambda transform optional) |
|
Data
Retention(storage) |
24h–7d |
No retention (delivers immediately) |
|
Delivery
Targets |
Custom apps, KDA, Lambda, etc. |
S3, Redshift, OpenSearch, 3rd party |
|
Scalability |
Manual or auto-scaling |
Fully managed and auto-scaling |
|
Complexity |
Higher |
Lower (plug-and-play) |
|
Cost |
Pay-per-shard |
Pay-per-GB ingested |
twtech Summary:
- Kinesis Data Streams is used if twtech needs real-time, custom processing.
- Kinesis Data Firehose is used if twtech needs simplified delivery to AWS services with minimal operational overhead.
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