Amazon Redshift vs Apache Hue

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.

Apache Hue is a free, open-source SQL assistant for databases and data warehouses. Its SQL Editor provides autocomplete, risk alerts, and self-service troubleshooting. Query results can be charted or exported as CSV or XLS, sent to cluster storage, or saved to a table. Notebook mode supports light programming snippets, while dashboards visualize indexed data and query SQL databases. Documented connectors include Hive, Impala, Presto, Flink SQL, Spark SQL, PostgreSQL, Redshift, BigQuery, and Snowflake, among others. Table and storage browsers use existing catalog knowledge to help users locate data across databases. Queries can be shared with permissions, and administrators configure database and warehouse connectors. Documentation covers SAML single sign-on, HTTPS, a REST API, Docker, and Helm on Kubernetes. Hue is available through listed distributions including Cloudera Data Platform, AWS EMR, Google Cloud Dataproc, Azure HDInsight, and Open Data Hub.