AWS Kinesis

Platform for collecting, processing, and analyzing real-time streaming data and video. Delivers low-latency ingestion from thousands of sources with no servers to manage. Handles logs, events, IoT telemetry, and video streams through a family of integrated services.

Trusted by enterprises for streaming analytics. Differentiates from self-managed options like Apache Kafka by offering fully managed, serverless infrastructure with automatic scaling and built-in integrations across the AWS ecosystem. Supports both high-throughput data streaming and live video ingestion through specialized services.

Key capabilities:

• Kinesis Data Streams for real-time ingestion and processing at any scale with on-demand provisioning
• Kinesis Data Firehose for streaming ETL into S3, Redshift, OpenSearch, Snowflake, and third-party tools
• Kinesis Video Streams for secure video ingestion from cameras and devices, with ML and WebRTC support
• Kinesis Data Analytics with managed Apache Flink for real-time stream processing and SQL
• Native integration with Lambda, Glue, and other AWS services for event-driven pipelines

Log and event analytics, IoT device monitoring, and fraud detection pipelines run in production. Teams use it to power live dashboards, deliver streaming data into data lakes, and build video analytics applications such as security monitoring and face detection. Developers connect via SDKs for Java, Python, and other languages, plus the Kinesis Agent for log file streaming and the Kinesis Client Library for distributed consumption.