Comparison · TablePlus

The TablePlus alternative that covers your whole team.

Mongrel is a TablePlus alternative for teams that need more than database editing: 30+ engines plus SSH and local terminals, SFTP/SCP, Docker, Podman, Kubernetes, and an API client. Both products publish Linux builds; Mongrel's distinction is the wider systems workbench.

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

// Why teams switch

Why teams look beyond TablePlus.

TablePlus provides a focused database-management experience across its published platforms, including Linux. Mongrel targets investigations that also cross a terminal, remote files, a container, a Kubernetes cluster, or an API, keeping those surfaces in the same app as the database workbench.

// What ships

What Mongrel brings to the comparison.

Desktop packages on three OSes

A Tauri desktop app for Linux x86-64, macOS Apple silicon, and Windows x64 and ARM64, with a Rust backend, system webview, and no JVM.

One workbench for mixed teams

The core desktop app uses one workspace model across Linux, macOS, and Windows; database plugin availability varies by platform and vendor runtime.

30+ database engines

PostgreSQL, MySQL, SQLite, Redis, MongoDB, Oracle, SQL Server, ClickHouse, and more through built-in drivers and signed first-party plugins.

SSH terminal and tunnels

Database connections offer SSH tunneling where supported; separate SSH terminal profiles support jump-host chains and port forwarding.

Kubernetes and Docker

Manage Docker and Podman containers and inspect Kubernetes workloads, logs, and port-forwards beside your data.

API client built in

Send HTTP, GraphQL, WebSocket, and gRPC requests with environments and secret variables, next to the records they touch.

// Side by side

Mongrel vs TablePlus, feature for feature.

CapabilityMongrelTablePlus
Platform coverageLinux x86-64, macOS Apple silicon, Windows x64 and ARM64Linux, macOS, Windows, and iOS downloads
Application stackTauri desktop app with a Rust backend and system webviewTablePlus markets native clients
Database coverage30+ engines through built-in drivers and signed first-party pluginsMulti-database client with its own supported-engine list
SSHDatabase tunnels plus full SSH terminal profiles with jump-host chainsSSH settings on database connections
Ops surfacesKubernetes GUI, Docker and Podman management, remote filesNot advertised as a core TablePlus product surface
API clientBuilt in, with environments, auth, and historyNot advertised as a core TablePlus product surface

// Honest tradeoffs

Where TablePlus still has the edge.

TablePlus is the narrower choice, and that focus can be an advantage when database editing is the whole job. Mongrel has more surfaces and engine-specific plugins, so support details vary by engine and platform. Use Mongrel when those extra database, terminal, file, container, cluster, and API workflows replace tools you already switch between.

// FAQ

Frequently asked questions.

Does TablePlus work on Linux?

Yes. TablePlus currently publishes a Linux download and a Linux changelog. Mongrel also ships for Linux x86-64.

Is Mongrel native or Electron?

Mongrel is not Electron. It is a Tauri desktop app with a Rust backend and an interface rendered by the operating system webview.

How does Mongrel differ from TablePlus?

Mongrel covers 30+ database engines and includes terminals, SFTP/SCP, Docker, Podman, Kubernetes, and an API client. TablePlus is primarily a database-management product.

Can my team use Mongrel across Mac, Linux, and Windows?

Yes. The core app ships for all three operating systems. Some database plugins have platform or vendor-runtime restrictions, so check the plugin support matrix for your exact engines.

How much does Mongrel cost?

Mongrel costs $99/year for Individual, $349/year for a five-seat Team plan, and $999/year for a twenty-five-seat Business plan. Plans include the workbench surfaces, and there is a free 7-day trial with no credit card required.

Related guides and comparisons

One native client, every platform your team runs.

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