Amazon Kinesis Data Streams

What is Amazon Kinesis Data Streams?

Amazon Kinesis Data Streams is a company within the Cloud Infrastructure category. Amazon Kinesis Data Streams is a serverless real-time data streaming service that enables developers to continuously capture and store terabytes of data per hour from hundreds of thousands of sources. It is part of the AWS streaming data platform, providing the durable transport layer for real-time analytics and data processing pipelines.

When was Amazon Kinesis Data Streams founded and where is it based?

Amazon Kinesis Data Streams was founded in 2013 and is headquartered in Seattle, WA.

What problems does Amazon Kinesis Data Streams solve for buyers?

Buyers turn to Amazon Kinesis Data Streams for Manual Queue Management: Using Amazon SQS or Kafka to manage message buffers manually without the streaming layer., Custom Ingestion Logic: Developing custom ingestion microservices using AWS Lambda and DynamoDB., among 2 documented problem areas.

What questions do buyers ask AI about Amazon Kinesis Data Streams?

Buyers evaluating Amazon Kinesis Data Streams typically ask AI models about "best real-time data streaming service", "AWS streaming data ingestion", "managed kafka alternatives", and 3 similar queries.

What does Amazon Kinesis Data Streams offer?

Amazon Kinesis Data Streams's core products are Real-time data ingestion, shard-based data streams, On-Demand data streams..

How is Amazon Kinesis Data Streams priced?

Amazon Kinesis Data Streams uses Usage-based (Shard-hour and PUT Units) or On-Demand throughput..

Who does Amazon Kinesis Data Streams target?

Amazon Kinesis Data Streams serves Data Engineers, DevOps, Enterprise IT, Fintech, AdTech..

What differentiates Amazon Kinesis Data Streams from competitors?

Amazon Kinesis Data Streams Deepest integration with the AWS serverless ecosystem, allowing millisecond-latency triggers for AWS Lambda without managing infrastructure.

Problems this brand solves

• Manual Queue Management: Using Amazon SQS or Kafka to manage message buffers manually without the streaming layer.
• Custom Ingestion Logic: Developing custom ingestion microservices using AWS Lambda and DynamoDB.

Buyers search for

• best real-time data streaming service
• AWS streaming data ingestion
• managed kafka alternatives
• serverless data bus for large scale apps
• how to ingest clickstream data at scale
• Amazon SQS: Using Amazon SQS for simple message decoupling where high-throughput ordering isn't required.

About this profile

This Business Profile is published by Optimly in the Optimly AI Brand Index, a public research dataset showing how AI systems describe brands, categories, and competitors. Optimly AI Visibility analyzes sampled buyer-intent responses, cited sources, and public brand information. The Brand Authority Index summarizes answer presence, narrative accuracy, and owned citations where sufficient evidence is available.

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