Choosing the right database can make or break your application. It affects how your data is stored, how fast your app runs, how easily it scales, and how quickly your team can develop features. Two of the most popular options—MongoDB and PostgreSQL—offer very different strengths. At Keyhole Software, we help businesses make smart technical decisions based on their specific needs. …
Native MongoDB to Sequelize with PostgreSQL
Every long-term project will outlive at least some of the technologies it was originally built with. For example, a project I have been involved with recently ran into this situation. The app is hosted on Heroku, and over the years, the available MongoDB add-ons have changed and dwindled until now, there is only one.
Several migrations between MongoDB add-ons have already happened because of shutdowns. So, it was decided that rather than migrating to the last one still in existence, the project would switch to using PostgreSQL, which is supported directly by the Heroku team.
Using MongoDB and Spring Boot to Create a RESTful Web Service
Spring Boot is a framework designed to simplify the bootstrapping and development of a new Spring application. The framework takes an opinionated approach to configuration, freeing developers from the need to define a boilerplate configuration. MongoDB is a simple set up and easy to use document database. A RESTful API is an application program interface (API) that uses HTTP requests to GET, PUT, POST and DELETE data.
In this post, I will demonstrate the process of creating a RESTful web application with Spring Boot and MongoDB.
MongoDB Geo-Spatial Mobile Demo
Attention: This article was published over 13 years ago, and the information provided may be aged or outdated. While some topics are evergreen, technology moves fast, so please keep that in mind as you read the post.Mongo: noun (pl mongo or mongos) – a monetary unit of Mongolia. Equal to one hundredth of a tugrik. Origin from Mongolian “silver” I’ve …
The Top AI-Assisted Software Development Companies of 2026
We analyzed 44 firms to rank the top AI-assisted software development companies of 2026, scored on delivery acceleration, governance, and tooling portability.