Learn how Rowy and undb differ in their key features, development activity, technology stack and community adoption, so you can decide which of these low-code/no-code platforms is best for you.
Last 30 days
Last commit
Repository age
Version
License
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both Rowy and undb have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Rowy leads in popularity with 6,833 stars vs 2,971 stars for undb. The 130% higher star count indicates stronger community adoption. In terms of developer contributions, Rowy has 557 forks, indicating moderate developer engagement.
Rowy and undb are moving at much the same rate, adding 9 stars and adding 9 stars respectively over the last 30 days (+0.1% vs +0.3%). Neither is pulling away from the other on momentum alone.
undb shows more recent development activity with its last commit 1 year ago, while Rowy was last updated 2 years ago. This suggests undb is being more actively maintained.
Both tools share common technology foundations, being built with JavaScript, CSS, Typescript, JSX. However, they differ in their additional technology choices: undb leverages Rust, Tauri, SvelteKit.
Rowy has been in development longer, starting 7 years ago, compared to undb which began 4 years ago. This 3.2-year head start suggests Rowy may have more mature features and established processes.
The projects use different licenses: Rowy is licensed under Apache-2.0 while undb uses AGPL-3.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Low-Code/No-Code, Backend-as-a-Service (BaaS). However, they also have distinct specializations: undb extends into NoSQL & Document Databases.
undb provides self-hosting options for complete data control and customization, while Rowy may be primarily cloud-based or require different deployment approaches.