One workbench · 30+ engines

Manage Postgres, MySQL, and Redis in one app.

Mongrel puts PostgreSQL, MySQL, Redis, MongoDB, SQLite, Oracle, SQL Server, ClickHouse, and 30+ documented engines in one desktop connection list. Built-in drivers and signed first-party plugins provide engine-specific workflows; capability and platform limits are documented rather than hidden.

Linux x86-64 · macOS Apple silicon · Windows x64 and ARM64

// Why one app

Every engine got its own tool. Your attention paid the price.

Modern systems often combine PostgreSQL, Redis, MongoDB, ClickHouse, and other services. Mongrel keeps their profiles in one workbench and adds terminals, secure file transfer, containers, Kubernetes, and API requests. It can reduce client sprawl without pretending every engine or vendor tool has identical capabilities.

// What ships

30+ documented engines, one connection list.

Relational workflows

PostgreSQL, MySQL, MariaDB, SQLite, Oracle, SQL Server, and more, with engine-specific browsing, editing, explain, data movement, and administration capabilities.

Document and wide-column stores

MongoDB includes aggregation pipelines and a Mongo Shell, while Cassandra and other engines use their documented native query workflows.

Key-value workflows

Redis and Valkey include binary-safe browsing and command workflows; exact capabilities and gaps are documented per engine.

Analytics and search

ClickHouse, BigQuery, Snowflake, Elasticsearch, Meilisearch, and other analytical or search systems share the connection list.

One connection list

Built-in and plugin-backed database profiles live together. SSH tunneling is configured per database connection where supported.

The stack around the data

An SSH terminal, SFTP/SCP, Docker and Podman management, a Kubernetes GUI, and an API client sit beside the database tools.

See the full engine list on the supported databases page.

// Honest tradeoffs

Honest tradeoffs, because there are some.

Vendor tools can go deeper on their own engine, and several are free. Mongrel is commercial software for work that spans engines and systems, but its plugin matrix also has explicit gaps and runtime limits. Check those details and use the 7-day trial before replacing an engine-specific tool.

// FAQ

Frequently asked questions.

What app can manage PostgreSQL, MySQL, and Redis together?

Mongrel places PostgreSQL, MySQL, Redis, MongoDB, SQLite, Oracle, SQL Server, ClickHouse, and 30+ documented engines in one desktop connection list.

Can one tool replace pgAdmin, MySQL Workbench, Redis Insight, and Compass?

Mongrel can consolidate many daily workflows, but it does not claim complete parity with every vendor tool. Capabilities and deliberate gaps vary by engine, so compare the plugin guide with the exact operations you need.

Does Mongrel treat every database like SQL?

No. Relational engines use their SQL dialects, MongoDB has aggregation and shell workflows, Cassandra uses CQL, and key-value and search engines expose engine-specific operations.

Is Mongrel for teams running many database types?

Yes. The shared connection list and workbench are designed for polyglot environments, while engine-specific plugins preserve different query and administration models.

What platforms does Mongrel run on?

Mongrel ships desktop packages for Linux x86-64, macOS Apple silicon, and Windows x64 and ARM64. Some plugins have platform or vendor-runtime restrictions, and the plugin guide lists them.

Related guides and comparisons

Bring your database connections into one workbench.

7-day trial. Linux, macOS, Windows. No credit card.