Software Alternatives & Reviews

deepstream.io VS Leo Platform

Compare deepstream.io VS Leo Platform and see what are their differences

deepstream.io logo deepstream.io

A scalable server for realtime webapps

Leo Platform logo Leo Platform

Leo enables teams to innovate faster by providing visibility and control for data streams.
  • deepstream.io Landing page
    Landing page //
    2021-10-14
  • Leo Platform Landing page
    Landing page //
    2021-10-19

Category Popularity

0-100% (relative to deepstream.io and Leo Platform)
Developer Tools
100 100%
0% 0
Stream Processing
0 0%
100% 100
Mobile Push Messaging
100 100%
0% 0
Data Management
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, deepstream.io seems to be more popular. It has been mentiond 9 times since March 2021. 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.

deepstream.io mentions (9)

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Leo Platform mentions (0)

We have not tracked any mentions of Leo Platform yet. Tracking of Leo Platform recommendations started around Mar 2021.

What are some alternatives?

When comparing deepstream.io and Leo Platform, you can also consider the following products

Socket.io - Realtime application framework (Node.JS server)

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

Spark Streaming - Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

PubNub - PubNub is a real-time messaging system for web and mobile apps that can handle API for all platforms and push messages to any device anywhere in the world in a fraction of a second without having to worry about proxies, firewalls or mobile drop-offs.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.