Struggling to choose between deepstream.io and MongooseIM platform? Both products offer unique advantages, making it a tough decision.
deepstream.io is a Ai Tools & Services solution with tags like realtime, data-synchronization, messaging.
It boasts features such as Realtime data sync, Fast messaging, Connects clients like browser, mobile, backends, Serverless architecture, Built-in authentication, Flexible persistence options, Plugin ecosystem, TypeScript support, Horizontal scaling and pros including Easy to set up, Low operational complexity, High performance, Scales horizontally, Realtime by default, Feature-rich, Open source.
On the other hand, MongooseIM platform is a Social & Communications product tagged with chat, messaging, xmpp, erlang, scalable, open-source.
Its standout features include Scalable - Can handle millions of concurrent users, Built on Erlang/OTP for reliability and performance, Open source with permissive licenses (Apache 2.0, GPLv2, GPLv3), Supports XMPP, REST API, Websockets, BOSH, Plugin architecture for extensibility, Clustering for high availability, Full-text search, archive, push notifications and more, and it shines with pros like Highly scalable and performant, Reliable and fault tolerant, Open source with no licensing costs, Extensible via plugins, Supports modern protocols beyond just XMPP.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
deepstream.io is an open-source realtime data store that provides fast data synchronization and messaging between browser clients, mobile apps, and backends. It allows building realtime apps without needing to manage infrastructure or write complex networking code.
MongooseIM is an open source instant messaging and chat server. It is highly scalable and can handle millions of concurrent users. MongooseIM is built on Erlang/OTP for reliability and performance.