Apache Hue vs HeidiSQL

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.

HeidiSQL is free desktop database client software for connecting to databases and editing their data and structures. It supports MariaDB, MySQL, MS SQL, PostgreSQL, SQLite, Interbase, Firebird, ProxySQL, and Redshift, with multiple connections in one window. Connections can use SSH tunnels or SSL settings. Users can create and edit tables, views, stored routines, triggers, and scheduled events. The query editor provides customizable syntax highlighting, code completion, SQL reformatting, and query history. Text files can be imported, while table rows can be exported as CSV, HTML, XML, SQL, LaTeX, Textile, PHP, Markdown, or JSON. Data can also be exported directly between servers or databases. Builds are offered for Windows, Linux, and macOS, including Linux x64 and arm64 packages, a macOS arm64 app bundle, and a Windows x64 portable edition. HeidiSQL requires an available database server or SQLite file; the requirements page says running through Wine is currently unstable and suggests native Linux instead.