Amazon Redshift vs Panoply

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.

Panoply.io is a web directory of data and AI infrastructure tools, guides, and articles rather than a current software product for sale. Its coverage includes data warehouses, ingestion and ELT, BI and analytics, ETL, and SQL. Directory pages present pricing, free-tier information, replacement context, and a score, using vendor pricing pages as sources and showing when prices were checked. Vendors can claim pages at no cost and submit corrections to pricing, integrations, and deployment facts for verification. Sponsored placements are labeled as sponsored. The site is published by Lumination AI Limited in London and says it is not affiliated with SQream, Scailium, or the former Panoply product. SQream acquired that managed data warehouse in 2021; the product was discontinued in 2026 after SQream entered insolvency. Panoply.io says nothing on the current site is for sale and suggests managed connectors such as Fivetran or Airbyte feeding Snowflake or BigQuery for former customers. The listed deployment model is cloud, with separate storage and compute and data lake support.