Software Alternatives, Accelerators & Startups

pREST VS ChartDB

Compare pREST VS ChartDB and see what are their differences

pREST logo pREST

A fully RESTful API from any existing PostgreSQL database written in Go

ChartDB logo ChartDB

Visualize your DB via one-single query. Free and open source, database design editor.
  • pREST Landing page
    Landing page //
    2019-08-27
Not present

pREST features and specs

  • Easy Setup
    pREST offers a straightforward setup process, allowing developers to quickly integrate a RESTful API with PostgreSQL databases without extensive configuration or code.
  • Database-driven
    It leverages PostgreSQL's powerful features, enabling efficient and optimized queries directly from the database, which can improve performance and reduce the need for complex backend logic.
  • Auto-generated Endpoints
    pREST automatically generates RESTful endpoints based on your database schema, which speeds up development and reduces manual coding effort.
  • Open Source
    Being open-source allows developers to view, modify, and contribute to the codebase, fostering a collaborative and transparent development environment.
  • Security Features
    It includes built-in security features such as authentication and permission management to safeguard data access and operations.

Possible disadvantages of pREST

  • Limited Flexibility
    pREST's auto-generated endpoints may not provide the same level of customization and flexibility as a fully hand-coded API solution.
  • Dependency on PostgreSQL
    As it is designed specifically for PostgreSQL, it limits the choice of databases, and transitioning to another database system could require significant changes.
  • Community and Support
    Being a relatively newer tool, it might have a smaller community and fewer support resources compared to more established frameworks, which could affect troubleshooting and support.
  • Scalability Concerns
    For extremely large-scale applications, relying solely on auto-generated endpoints might pose scalability challenges without additional optimization and infrastructure support.
  • Learning Curve
    Developers unfamiliar with RESTful principles or PostgreSQL might encounter a learning curve in understanding how pREST integrates both to provide its functionalities.

ChartDB features and specs

No features have been listed yet.

Analysis of ChartDB

Overall verdict

  • ChartDB is a solid, free, open-source database diagramming tool that lets you visualize and design database schemas directly in the browser without installation, making it a strong choice for developers who need quick, accessible schema visualization.

Why this product is good

  • Free and open-source, so there are no licensing costs and the community can contribute or self-host
  • Runs entirely in the browser with no installation required, enabling instant access
  • Supports importing existing database schemas via a single query, allowing fast diagram generation from real databases
  • Works with multiple popular database engines like PostgreSQL, MySQL, SQL Server, SQLite, and MariaDB
  • Can export DDL scripts, making it useful for migrating or recreating schemas
  • Clean, intuitive interface that lowers the learning curve for schema design and documentation

Recommended for

  • Developers who need to quickly visualize and document existing database schemas
  • Teams looking for a free alternative to paid ERD and database design tools
  • Students and educators learning database design concepts
  • Startups and small projects wanting lightweight, browser-based schema management
  • Engineers who prefer open-source, self-hostable tooling for data privacy

pREST videos

etrailer | Prest-O-Fit Interior Landing RV Step Rug Review

More videos:

  • Review - Review of Prest-O-Fit RV Step Covers - 3-Piece Chocolate Brown Exterior RV Step Rugs - PR82MR
  • Review - etrailer | Prest-O-Fit Adapter for RV Sewer Hose Review

ChartDB videos

No ChartDB videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to pREST and ChartDB)
Developer Tools
54 54%
46% 46
Databases
100 100%
0% 0
Database Tools
0 0%
100% 100
Productivity
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, pREST should be more popular than ChartDB. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

pREST mentions (2)

  • Accessing Postgres via REST using pRest
    With pRest, it is possible to create a RESTFul API to access the contents of a Postgres database in a fast and straightforward way. The project, written in Go, can be found on its official website and Github. - Source: dev.to / almost 5 years ago
  • Admin panel for Go back end?
    So this is something I've been pondering about for a while and I think I've settled to using Directus: https://directus.io/ as my db admin and dbmate for migrations. Alternatively you could use react admin: https://marmelab.com/react-admin/ . The only problem with the latter is that it requires you to build your rest endpoint for CRUD but you can use postgrest: https://postgrest.org/en/stable/ (or it's go... Source: over 5 years ago

ChartDB mentions (1)

  • Show HN: Clawe โ€“ open-source Trello for agent teams
    The limits of a no-code website editor https://chartdb.io/ that's hilarious. - Source: Hacker News / 6 months ago

What are some alternatives?

When comparing pREST and ChartDB, you can also consider the following products

PlanetScale - The last database you'll ever need. Go from idea to IPO.

Azimutt - Next-Gen ERD to Design, Explore and Document real world databases (big and messy ones ^^)

Crunchy Bridge - Crunchy Bridge is a fully managed database as a service.

DBDiagram.io - Free database diagrams designer for analysts & developers ๐Ÿ› 

Hightouch Audiences - Use data without SQL

DrawSQL - Easy database diagrams. Create, visualize and collaborate on your database entity relationship diagrams.