Data engineers, data analysts, and big data developers are using real-time streaming engines to improve customer responsiveness. With the new streaming ingestion capability in Amazon Redshift, you can use SQL (Structured Query Language) to connect to and directly ingest data from multiple Kinesis data streams simultaneously. Amazon Redshift streaming ingestion simplifies data pipelines by letting you create materialized views on top of streams directly. The materialized views can also include SQL transformations as part of your ELT (Extract Load Transform) pipeline. You can manually refresh defined materialized views to query the most recent stream data. This approach allows you to perform downstream processing and transformations of streaming data using existing familiar tools at no additional cost.
High throughput with low latency
Handle any amount of streaming data and process data from hundreds of thousands of sources while experiencing very low latency and high bandwidth so you can derive insights in seconds instead of minutes.
Simple to get started
Get to real-time insights in seconds without managing complex pipelines. Amazon Redshift with Amazon Kinesis is fully managed and runs your streaming applications without requiring infrastructure management.
Perform rich analytics on streaming data, right within Amazon Redshift using existing familiar SQL. No need to learn new skills or languages.
How it works
Improve gaming experience
Focus on in-game conversions, player retention, and optimizing gaming experience by analyzing real-time data from gamers.
Analyze IoT data in real-time
You can use Amazon Redshift with Amazon Kinesis for real-time applications such as application monitoring, fraud detection, and live leader-boards. You can ingest streaming data using Kinesis Data Streams, process it using Kinesis Data Analytics, and emit the results to any data store or application using Kinesis Data Streams with millisecond end-to-end latency.
Analyze clickstream user data for online advertising
The average customer visits dozens of websites in a single session, yet marketers typically analyze only their own websites. Analyze authorized clickstream data ingested into the warehouse to assess your customers footprint and behaviors.
Deliver real time application insights and fix issues instantly with your apps
With the ability to access and analyze streaming data from your application log files and network logs, developers and engineers can conduct real time troubleshooting of issues, deliver better products and alert systems for preventative measures.
Real-time retail analytics on streaming POS data
Access and visualize in near-real time all your POS retail sales transaction data for real-time analytics, reporting and visualization.