This plan is usually enough for a small personal project. The free plan allows you to have a maximum of 20,000 rows of data and up to 20 connections to the database. Then, you can follow the instructions in the following clip to create a new app and add a PostgreSQL database. After signing up and logging into your account, you will be directed to the Heroku Dashboard. Sign up to Heroku & Deploy Your First PostgreSQL Database This is an excellent choice for beginners and small to medium-sized companies, unlike AWS, which usually requires experienced developers and has complicated deployment processes. Heroku offers a ready-to-use environment that makes it very simple to deploy your code as quickly as possible with little development experience. Heroku is a platform as a service (PaaS) that enables developers to build and run applications entirely in the cloud. Heroku CLI (verify your installation by entering heroku -version in the terminal).You will need the following Python libraries Pandas: An open-source Python library for data analysis and manipulation. SQLAlchemy: a Python SQL library and Object Relational Mapper (ORM) to interact with databases. Heroku: a platform as a service (PaaS) suitable for quick deployments with minimal needed DevOps experience. PostgreSQL: a free and open-source object-relational database management system that emphasizes extensibility and SQL compliance. Specify data type of columns in the table using SQLAlchemy datatypes.Ingest data to a table in the database using Pandas and SQLAlchemy.Dynamically retrieve Heroku database URL (useful to overcome a shortcoming of the free plan). Generate a Heroku API token (in two ways).Deploy a free PostgreSQL database in Heroku. □ This article is also published on Towards Data Science blog.
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