# Amazon Redshift Streaming Ingestion

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/amazon-redshift-streaming-ingestion
- **Dataset:** https://optimly.ai/brand/amazon-redshift-streaming-ingestion.json
- **Markdown:** https://optimly.ai/brand/amazon-redshift-streaming-ingestion/llms.txt
- **Official website:** https://amazon.com
- **Slug:** amazon-redshift-streaming-ingestion
- **Categories:** cloud-infrastructure, data-analytics-business-intelligence

## Overview

- **Tagline:** Direct, S3-less ingestion into Redshift using SQL-based materialized views for sub-second latency.
Source: Brand's website (https://amazon.com) · 2026-10-04

- **Description:** Amazon Redshift Streaming Ingestion is a feature of the Amazon Redshift data warehouse that enables the high-speed, direct ingestion of streaming data from Amazon Kinesis Data Streams and Amazon MSK. It removes the necessity of staging data in Amazon S3 before loading, allowing for sub-second ingestion latency. Users manage the ingestion process using standard SQL and materialized views within their existing Redshift environment.
Source: Brand's website (https://amazon.com) · 2026-10-04

## Offerings

- **Core capabilities:** Streaming ingestion connector for Kinesis Data Streams and Amazon MSK.
Source: Brand's website (https://amazon.com) · 2026-10-04

- **Pricing:** Usage-based (Redshift cluster/serverless costs + small per-processed-GB surcharge)
Source: Brand's website (https://amazon.com) · 2026-10-04

## Audience

- **Target industry:** Data engineers, analytics architects, and enterprises using AWS for real-time dashboards and monitoring.
Source: Brand's website (https://amazon.com) · 2026-10-04

## Landscape

- **Competitors:**
  - Snowflake Snowpipe Streaming
  - Databricks Mosaic/Structured Streaming
  - Google Cloud BigQuery Streaming API
  - Rockset (now part of OpenAI/Cloud-native alternatives)
Source: Brand's website (https://amazon.com) · 2026-10-04

Page last updated 2026-10-17.