Firebase vs SignalR: What are the differences?
Developers describe Firebase as "The Realtime App Platform". Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds. On the other hand, SignalR is detailed as "A new library for ASP.NET developers that makes developing real-time web functionality easy". SignalR allows bi-directional communication between server and client. Servers can now push content to connected clients instantly as it becomes available. SignalR supports Web Sockets, and falls back to other compatible techniques for older browsers. SignalR includes APIs for connection management (for instance, connect and disconnect events), grouping connections, and authorization.
Firebase and SignalR belong to "Realtime Backend / API" category of the tech stack.
"Realtime backend made easy" is the top reason why over 317 developers like Firebase, while over 7 developers mention "Supports .NET server" as the leading cause for choosing SignalR.
SignalR is an open source tool with 7.73K GitHub stars and 2.19K GitHub forks. Here's a link to SignalR's open source repository on GitHub.
Instacart, Twitch, and PedidosYa are some of the popular companies that use Firebase, whereas SignalR is used by simplement-e, Jet.com, and NRGSoft. Firebase has a broader approval, being mentioned in 838 company stacks & 957 developers stacks; compared to SignalR, which is listed in 20 company stacks and 16 developer stacks.
Sign up to add or upvote prosMake informed product decisions
Sign up to add or upvote consMake informed product decisions
What is Firebase?
What is SignalR?
Need advice about which tool to choose?Ask the StackShare community!
Sign up to get full access to all the companiesMake informed product decisions
Sign up to get full access to all the tool integrationsMake informed product decisions