Amazon Kinesis

Streamline real-time data processing with Amazon Kinesis on AWS

About Amazon Kinesis

Amazon Kinesis provides scalable, fully managed solutions for ingesting, processing, and analyzing real-time streaming data in the cloud. Ideal for applications requiring low-latency insights, Kinesis integrates seamlessly with AWS services to support analytics, IoT, and video streaming use cases.

Key features

Real-time data processing

Process streaming data instantly for immediate insights and decision-making without delays.

Scalability

Automatically scales to handle petabytes of data per day, accommodating growing workloads effortlessly.

Fully managed service

Eliminates infrastructure management with automated provisioning, scaling, and maintenance.

Integration with AWS ecosystem

Connects natively with AWS Lambda, Redshift, S3, and Elasticsearch for end-to-end data workflows.

Multiple data stream applications

Supports diverse use cases including analytics, real-time processing, and data delivery for flexibility.

Security

Ensures data protection with IAM integration, KMS encryption, and in-transit security measures.

FAQ

Alternatives to consider

See all alternatives

Google Cloud Dataflow

Google Cloud Dataflow: A fully managed service for scalable batch and streaming data processing

Apache Spark

Apache Spark: A unified analytics engine for large-scale data processing, SQL, streaming, machine learning, and graph analytics.

Apache Flink

Apache Flink is a powerful stream processing framework for real-time data analytics and event-driven applications.

Apache Kafka

Apache Kafka is a distributed event streaming platform trusted by Fortune 100 companies for high-performance data pipelines and real-time analytics.

Kibana

Kibana: Explore, visualize, and manage your Elasticsearch data with AI-powered analytics

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