Mitzu

Mongrel is a desktop database systems workbench that unifies 30+ database engines, terminals, file transfer, containers, Kubernetes, and an API client in one native app for Windows, macOS, and Linux. Query PostgreSQL, MySQL, MongoDB, SQL Server, Oracle, Redis, ClickHouse, Snowflake, BigQuery, and more in native SQL or engine dialects. Edit data inline, drill through foreign keys, run EXPLAIN plans, design schemas on a visual ER canvas, sync data between databases, and schedule encrypted backups. Built-in SSH/Mosh/Telnet/Serial terminals, SFTP/SCP file transfer, Docker and Podman management, Kubernetes operations, and an HTTP/GraphQL/WebSocket/gRPC client replace a stack of tools. An opt-in AI assistant supports OpenAI-compatible, Anthropic, and Gemini providers, with keys in your OS keychain and writes always approval-gated. Mongrel is local-first: your queries, data, and logs never leave your machine. All plans include every feature; start with a 7-day trial, no card required.

Astrato Analytics is a warehouse-native business intelligence platform that allows organizations to build, embed, and share interactive dashboards and data applications directly on cloud data warehouses. It integrates with major platforms such as Snowflake, BigQuery, Databricks, ClickHouse, Supabase, Amazon Redshift, PostgreSQL, and Dremio. The platform uses a zero-copy architecture, enabling real-time data access without the need for data extraction or duplication. This approach ensures that dashboards and reports always reflect the most up-to-date information. Astrato connects through a live-query engine, allowing seamless interaction with source data. It eliminates the complexity of managing data pipelines or cached datasets. Security is enhanced by inheriting policies like row-level access and data masking directly from the warehouse. Overall, it simplifies analytics while maintaining strong governance and real-time insights.