Amazon Redshift warehouses data at petabyte scale for analytics. Load data from anywhere, query it with standard SQL, and get results fast through columnar storage and massive parallelism.
Integration with AWS services means data flows easily from S3, RDS, and dozens of sources. Machine learning features predict query performance and optimize automatically.
Data teams choose Redshift when they need a warehouse that scales with their analytics ambitions. It's the foundation that makes dashboards responsive and data science possible.
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No permanent free tier. Two-month free trial with 750 hours of dc2.large. Paid pricing starts around $0.25/hour for smallest nodes. Serverless has separate pay-per-use pricing.
Provisioned: Pay per node hour starting ~$0.25/hour. Serverless: $0.375 per RPU-hour used. Plus storage costs. Reserved instances save up to 75% for committed usage.
Redshift is AWS's cloud data warehouse. Designed for analytics and BI on large datasets. Columnar storage, massively parallel processing. Competes with Snowflake and BigQuery.
Snowflake separates compute and storage more elegantly. Redshift is better if you're already in AWS ecosystem. Snowflake easier to use; Redshift can be cheaper at scale.
Serverless Redshift automatically provisions and scales capacity. Pay only for compute used. Good for variable workloads. No cluster management required.