Databases

If your business deals in large volumes of data, chances are that you are at least somewhat familiar with PostgreSQL, or you may use it actively in your data management strategy. PostgreSQL is a powerful relational database system, and it is completely open source. As of 2019, PostgreSQL was the second-most-common database solution for professionals. Thirty-four percent of more than 75,000 Respondents reported that it was their first choice.

Spencer Nguyen - December 5, 2023 Worldwide government IT spending is forecast to total $589.8 billion in 2023, an increase of 7.6% from 2022, according to Gartner, Inc. As technology integration becomes more prevalent in society, the government, organizations, and businesses must begin the process of digital transformation. When it comes to successful digital transformations, APIs and databases are at the core.

In the contemporary software development landscape, unit tests have become paramount for ensuring software quality. A prevalent practice during these tests involves mocking outgoing calls to decouple the code under test from external dependencies. Imagine, for a moment, a scenario where instead of writing mocks with pre-defined behaviours, you duplicate the behaviour of a real-world server.

We're excited to announce the Koyeb Serverless Postgres public preview - a fully managed, fault-tolerant, and scalable serverless Postgres Database Service. What do all modern applications have in common? They all have APIs, workers, and databases. Deploying APIs and workers with Koyeb has long been possible. Starting today, you can spin up databases too! Using Koyeb Serverless Postgres, you can easily start a resilient Database Service alongside your apps in a few seconds.

NodeJS is a JavaScript-based backend framework for web applications. It enables fast, scalable, and efficient development with high concurrency and data streams. Choosing the right database for NodeJS applications is a challenge for developers. A database should store and manage the data, handle the volume and velocity of data, provide the features and functionality you need, and be compatible, easy, secure, and reliable with NodeJS.

Kevin McGahey - November 28, 2023 Storing information in a relational database and sharing it via a RESTful API is a very common scenario these days. Depending on your RDBMS (relational database management system), this may take a lot of development effort. One solution that attempts to simplify the process is the PostgREST web server add-on for PostgreSQL.

To update a document in MongoDB, I used to fetch it, update the values, and save back the entry. I would question the need for an update method. Looking back, it's evident that performance optimizations were hardly a concern when working on a personal project. Working with a larger dataset is a whole different story, though. This is where no-code tools can't help. In this article, I'll share some of my learnings when it comes to working in MongoDB with millions of documents.

Have you ever wondered how massive business and consumer apps handle that kind of scale with concurrent users? To deploy high-performance applications at scale, a rugged operational database is essential. Cloudera Operational Database (COD) is a high-performance and highly scalable operational database designed for powering the biggest data applications on the planet at any scale.

When companies have massive volumes of information to deal with, it's challenging to make sense of it all. With information spread across the organization, gathering valuable insights to drive decision-making is nearly impossible. Bringing all of this information together in a consolidated platform helps support discovery, reporting, and analysis which is critical for defining business strategies. In the era of digital disruption, agility is key.

The ability to call a PostgreSQL stored procedure from an API allows for rapid development in a secure way. Rather than writing database queries to interact with your data you can utilize an API that can be rapidly developed and reused many times. The reusability of APIs and using stored procedures means if you are scaling from a single backend application to hundreds your APIs will not change. Table of Contents.