Amazon Redshift vs IBM Netezza Performance Server

Amazon Redshift is a cloud data warehouse for SQL analytics across data warehouses and data lakes. It offers provisioned and serverless deployments, with options AWS says can scale to petabytes and support thousands of concurrent users. Redshift runs read-only SQL queries on Apache Iceberg, Apache Hudi, and Delta Lake tables, plus open file formats in Amazon S3. Zero-ETL integrations connect with Amazon Aurora, Amazon RDS, Amazon DynamoDB, and enterprise applications. Streaming ingestion connects with Amazon Kinesis Data Streams and Amazon Managed Streaming for Apache Kafka. Listed integrations include QuickSight, Tableau, Microsoft Power BI, Alteryx, Jupyter Notebook, Informatica, dbt, MicroStrategy, and Looker. The Data API supports AWS SDK languages including Python, Go, Java, Node.js, PHP, Ruby, and C++. Security includes encryption, row- and column-level controls, and dynamic masking. It is paid, has no free plan, offers a free trial, and starts at $0.54 per month for Provisioned or $1.50 per month for Serverless.

IBM Netezza Performance Server has no write-up on Specifiction yet; its figures are above.