Based on our record, Firebase seems to be a lot more popular than Azure Cosmos DB. While we know about 248 links to Firebase, we've tracked only 9 mentions of Azure Cosmos DB. 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.
Head over to Firebase Developer Console homepage, sign in using your Gmail address, and click the Go to Console button to navigate to the console's overview page. - Source: dev.to / 1 day ago
I didn't really give much thought as to which backend I would use. I already had 2 projects in Supabase (BOXCUT & MineWork), but also a few projects in Firebase too. I was more concerned at the time at actually building the product. - Source: dev.to / 3 days ago
Firebase, a well-known backend platform, is widely utilized for building Serverless or Headless web and mobile applications. This discussion will delve into executing comprehensive CRUD (Create, Read, Update, Delete) operations within Firebase. CRUD operations serve as fundamental building blocks for both web and mobile applications. To initiate this process, create a new project in the Firebase Console.... - Source: dev.to / about 2 months ago
For example, you can rely on the powerful OAuth by Okta to handle your Auth services, Flutterwave payment gateway to accept payment, and Google Firebase Messaging to manage notifications. - Source: dev.to / 2 months ago
Backend as a Service (BaaS) goes back to early 2010’s with companies like Parse and Firebase. These products integrated everything a backend provides to a webapp in a single, integrated package that makes it easier to get started and enables you to offload some of the devops maintenance work to someone else. - Source: dev.to / 3 months ago
If you are writing the code maybe consider learning Cosmos DB it’s pretty easy to work with and there is a free tier. Also in my experience it’s much faster than a SQL database. Source: 11 months ago
Sometimes you don’t need an entire Java-based microservice. You can build serverless APIs with the help of Azure Functions. For example, Azure functions have a bunch of built-in connectors like Azure Event Hubs to process event-driven Java code and send the data to Azure Cosmos DB in real-time. FedEx and UBS projects are great examples of real-time, event-driven Java. I also recommend you to go through 👉 Code,... - Source: dev.to / over 1 year ago
When debating the database solution for our application we were really seeking for a scalable serverless database that wouldn’t bill us for idle time. Options like AWS Athena, AWS Aurora Serverless, and Azure Cosmos DB immediately came to mind. We believed that GCP would have a comparable service, yet we could not find one. Even after consulting the GCP cloud service comparison documentation we were still unable... - Source: dev.to / almost 2 years ago
If you are looking for one to start with; you can try Cosmos: https://azure.microsoft.com/en-us/services/cosmos-db/. Source: about 2 years ago
I have had an opportunity to work on a project that uses Azure Cosmos DB with the MongDB API as the backend database. I wanted to spend a little more time on my own understanding how to perform basic setup and a simple set of CRUD operations from a Node application, as well as construct an easy-to-follow procedure for other developers. - Source: dev.to / about 2 years ago
Supabase - An open source Firebase alternative
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
OneSignal - Customer engagement platform used by over 1 million developers and marketers; the fastest and most reliable way to send mobile and web push notifications, in-app messages, emails, and SMS.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Android Studio - Android development environment based on IntelliJ IDEA
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.