HireFire vs React Native Firebase
Overview
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A semantic personal publishing platform with a focus on aesthetics, web standards, and usability.
Detailed Comparison
RNFirebase is a light-weight layer sitting on-top of the native Firebase libraries for both iOS and Android which mirrors the Firebase Web SDK as closely as possible. | is a hosted service for auto-scaling both web- and worker dynos. The service supports practically any worker library across all programming languages through an abstract interface. |
firebase;
analytics;
push-notifications;
firebase-cloud-messaging;
authentication;
realtime-database;
storage;
transactions;
remote-config;
crash-reporting;
performance-monitoring; | Save Money;
Handle Load Fluctuation;
Faster Job Processing;
Minutely Checkups
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Statistics | |
GitHub Stars 12.1K | GitHub Stars 631 |
GitHub Forks 2.3K | GitHub Forks 59 |
Stacks 90 | Stacks 5 |
Followers 118 | Followers 3 |
Votes 4 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
What are some alternatives to React Native Firebase, HireFire?
Parse-Server
A Parse.com API compatible router package for Express. Read the announcement blog post here: http://blog.parse.com/announcements/introducing-parse-server-and-the-database-migration-tool/. Read the migration guide here: https://parse.com/docs/server/guide#migrating
Nezumi for Heroku
Manage your Heroku apps on the go.
Jungle
awscli is by far the most comprehensive CLI tool manipulating various AWS services, and I really like its flexible options and up-to-date release cycle. However, day-to-day AWS operations from my terminal don't need that much flexibility and that many services.
Adept Scale
Adept Scale works by ingesting and processing an application’s syslog drain. With a few parameters found in the settings section, the Adept Scale calculation algorithm will recommend dyno usage and will scale your dynos if necessary.
djangae
Djangae (djan-gee) is a Django app that allows you to run Django applications on Google App Engine, including (if you want to) using Django's models with the App Engine Datastore as the underlying database.
