HeidiSQL vs Mode

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.

Mode is a business intelligence platform that brings data teams and business teams together for analytics, from ad hoc analysis through self-serve reporting and advanced work. It offers a SQL editor with connected Python and R notebooks. Reports can combine explorable charts, output cells, and narrative text, while Visual Explorer supports browser exploration of more than 100,000 data points. Interactive dashboards provide drag-and-drop exploration, visualizations, custom themes, and scheduled runs. Teams can build internal data tools with HTML, CSS, JavaScript, APIs, parameters, and embedded reports. Listed integrations include dbt freshness, GitHub, Excel workbooks, Google Sheets, semantic layers, Slack, local file uploads, and webhooks. Mode connects to most major data warehouses but does not build SaaS-tool connectors. Studio supports up to three users and 10 MB per query. Pro lists 250 GB per month, 5 GB per query, and a three-user minimum; Enterprise requires at least 50 users. API and web access, scheduled queries, shared queries, SQL notebooks, and AI query assistance are listed. Data is encrypted with TLS 1.2 or higher in transit and AES-256 at rest.