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csvbox VS Postgres.app

Compare csvbox VS Postgres.app and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
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csvbox logo csvbox

Spreadsheet importer for your web app, SaaS or API

Postgres.app logo Postgres.app

The easiest way to run PostgreSQL on the Mac.
  • csvbox Landing page
    Landing page //
    2021-09-29
  • Postgres.app Landing page
    Landing page //
    2021-09-28

csvbox features and specs

  • Ease of Use
    CSVBox provides a user-friendly interface that simplifies the process of handling CSV imports, making it accessible even to those without technical expertise.
  • Data Validation
    It offers robust data validation features to ensure the accuracy and consistency of imported data, reducing errors in the input process.
  • Customizable Importer
    CSVBox allows customization of the importer to fit specific requirements, providing flexibility in how data is imported and processed.
  • Integration Capabilities
    It supports easy integration with various applications and systems, enhancing its utility in different tech environments.
  • Support and Documentation
    Provides comprehensive support and documentation to assist users in quickly resolving issues and leveraging the platform effectively.

Possible disadvantages of csvbox

  • Cost
    Depending on the size of the user base and specific needs, the cost of using CSVBox can be a concern for small startups or individual developers.
  • Complex Use Cases
    While it handles standard CSV imports well, extremely complex or unique import scenarios may require additional custom development beyond what the platform offers out-of-the-box.
  • Learning Curve for Advanced Features
    Though basic features are user-friendly, mastering advanced customization options might require a learning curve for new users.

Postgres.app features and specs

  • Ease of Installation
    Postgres.app is very easy to install on macOS as it provides a one-click setup process, making it ideal for beginners or developers looking for a hassle-free installation experience.
  • Integrated Environment
    It includes a full PostgreSQL server, along with utilities such as pgAdmin, psql, and PostGIS, offering an integrated environment for database development and management without requiring additional installations.
  • Regular Updates
    Postgres.app is regularly updated to include the latest stable releases of PostgreSQL, ensuring users have access to the newest features and security patches.
  • Self-Contained
    All components required for running PostgreSQL are bundled within the app, reducing potential conflicts with other software and simplifying the management of dependencies.
  • No Need for Administrative Privileges
    Postgres.app can be run without needing administrative privileges on the host machine, making it convenient for users who do not have admin access.

Possible disadvantages of Postgres.app

  • macOS Only
    Postgres.app is only available for macOS, which limits its availability to users on other operating systems like Windows and Linux.
  • Large File Size
    The app's self-contained nature results in a relatively large file size, which might be problematic for users with limited storage space.
  • Limited Configuration Options
    While Postgres.app is suitable for development, it may not offer the same level of configuration customization as a manual installation, which can be a drawback for advanced users needing specific settings.
  • Performance Limitations
    Being an all-in-one package, Postgres.app might not be optimized for high-performance production environments compared to more finely-tuned installations.
  • Potential for Outdated Components
    Although updates are frequent, there may be a delay in releasing the very latest versions of PostgreSQL or its components, which could be a concern for bleeding-edge users.

csvbox videos

+ Add

csvbox demo

Postgres.app videos

+ Add

Installing and Setting up PostgreSQL Using Postgres.app

Category Popularity

0-100% (relative to csvbox and Postgres.app)

csvbox

Postgres.app

Developer Tools
59 59%
Developer Tools
41% 41
Spreadsheets
100 100%
Spreadsheets
0% 0
MySQL Tools
0 0%
MySQL Tools
100% 100
APIs
100 100%
APIs
0% 0

User comments

Share your experience with using csvbox and Postgres.app. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Postgres.app should be more popular than csvbox. It has been mentiond 40 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.

csvbox mentions (4)

  • Top 3 SaaS Services for Importing CSV Files
    CSXBox is particularly beneficial for companies requiring support for larger files (up to 500,000 rows) and needs a reliable platform that can manage such volume without the associated cost. It enjoys “fast” import speeds, claiming that users can enjoy a “production-ready data importer in minutes, not weeks.”. - Source: dev.to / 12 months ago
  • Show HN: Datagridxl2.js – No-nonsense fast Excel-like data table library
    You might be better off with something like https://csvbox.io/. - Source: Hacker News / about 3 years ago
  • No-code file importer to collect spreadsheets from your users
    As a solution I built the csvbox.io import widget. Its a no code, drop-in widget that allows you to accept files in minutes. Users can upload files, match columns, validate data all in a few clicks. You receive ready to use data in your app. A better experience for your customers, fewer headaches for your team! Source: almost 4 years ago
  • Hacker News top posts: May 12, 2021
    Show HN: Csvbox.io – CSV import button for a web app, SaaS or API\ (16 comments). Source: about 4 years ago

Postgres.app mentions (40)

  • DuckDB is probably the most important geospatial software of the last decade
    PostGIS is included in Postgres.app which is a single executable for Mac. DuckDB appears also to be a single file download for Mac. I’m not sure your “when I was first learning PostGIS” experience reflects the current situation. https://postgresapp.com/. - Source: Hacker News / about 1 month ago
  • Test Driving a Rails API - Part One
    A running Rails application needs a database to connect to. You may already have your database of choice installed, but if not, I recommend PostgreSQL, or Postgres for short. On a Mac, probably the easiest way to install it is with Posrgres.app. Another option, the one I prefer, is to use Homebrew. With Homebrew installed, this command will install PostgreSQL version 16 along with libpq:. - Source: dev.to / over 1 year ago
  • Full Stack Chat App with Socket.io
    I was using Postgres.app, but of course, you can download it in any way as long as it works. - Source: dev.to / over 1 year ago
  • Building Secure Neon-Infused Web Apps with Auth0, Express, and EJS
    There are two ways to connect with the Postgres database which can be in the terminal or using a Postgres GUI client app like DBeaver. But first, download the PostgreSQL installer for macOS or Windows, depending on your OS. The setup and installation come with the psql command, a tool shipped with Postgres that allows you to communicate with Postgres through the command line. - Source: dev.to / over 1 year ago
  • Postgres: Opinionated Rules-of-Thumb and Gotchas
    6a. Even stricter option is an "append-only" aka "timeseries" schema, which I highly recommend. Can't remember the last time I didn't use one. 7. If you happen to be testing on a Mac, https://postgresapp.com/ is easier than the MacPorts or Homebrew packages. - Source: Hacker News / over 1 year ago
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What are some alternatives?

When comparing csvbox and Postgres.app, you can also consider the following products

Flatfile 3.0 – Embeds - Meet Flatfile 3.0, the fully re-imagined platform for onboarding customer data into your product.

Homebrew - The missing package manager for macOS

Flatfile - The new standard for data import

Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications

OneSchema - Import customer CSV data 10x faster

TablePlus - Easily edit database data and structure

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