Software Alternatives, Accelerators & Startups

Confluent VS Push Technology

Compare Confluent VS Push Technology and see what are their differences

Confluent logo Confluent

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

Push Technology logo Push Technology

Diffusion Intelligent Event Data Platform helps you Consume, Enrich and Deliver Event-Data in real-time under all network conditions.
  • Confluent Landing page
    Landing page //
    2023-10-22
  • Push Technology Landing page
    Landing page //
    2023-03-07

Push Technology helps companies modernize real-time applications to work under any conditions, removing the boundaries of the internet. Diffusion® Intelligent Data Mesh helps you solve the connectivity, security, scalability, and data distribution challenges of your real-time solutions. Our powerful real-time SDKs and REST API make building applications simple. To enquire more, visit the website.

Push Technology enables companies worldwide to build intelligent real-time applications. With Diffusion®, designed by the most creative & brightest minds in the market, build real-time, secure, high-performance applications that scale easily and satisfy today's consumer expectations under all network conditions. Along with this, build reliable data-efficient IoT, extend your data pipelines such as Kafka & enable a single view of data. Developers can integrate these features into their solution using easy-to-use and simple SDKs and REST API. Diffusion is powered by patented capabilities such as delta-streaming, comprehensive data semantics, in-memory key-value store, and more. To enquire more, visit the website.

Push Technology

$ Details
freemium $49.0 / Monthly ($0.99 per million messages, $0.01 per connection)
Release Date
2006 December

Confluent features and specs

  • Scalability
    Confluent is built on Apache Kafka, which allows for smooth scalability to handle growing data needs without significant performance degradation.
  • Real-Time Data Processing
    Confluent enables real-time streaming data processing, which is beneficial for applications requiring immediate data insights and actions.
  • Comprehensive Ecosystem
    Confluent provides a rich set of tools and connectors that integrate seamlessly with various data sources and sinks, making it easier to build and manage data pipelines.
  • Ease of Use
    Confluent offers an intuitive user interface and comprehensive documentation, which simplifies the setup and management of Kafka clusters.
  • Managed Service Option
    Confluent Cloud provides a fully managed Kafka service, reducing the operational burden on the engineering team and allowing businesses to focus on developing applications.
  • Advanced Security Features
    Confluent offers robust security features including encryption, SSL, ACLs, and more, ensuring that data streams are protected.
  • Strong Customer Support
    Confluent offers professional support and consultancy services which can be very helpful for enterprises requiring 24/7 support and expertise.

Possible disadvantages of Confluent

  • Cost
    Confluent can be expensive, especially for small to medium-sized businesses. The costs can grow significantly with scale and additional enterprise features.
  • Complexity
    Despite its ease of use, the underlying system’s complexity can pose a challenge, particularly for teams who are new to Kafka or streaming data technologies.
  • Resource Intensive
    Running Confluent on-premises can be resource-intensive, requiring significant computational and storage resources to maintain optimal performance.
  • Learning Curve
    For those unfamiliar with Kafka and streaming technologies, there is a steep learning curve which can lead to longer implementation times.
  • Vendor Lock-In
    Utilizing Confluent’s proprietary tools and connectors can result in vendor lock-in, making it difficult to switch to alternative solutions without considerable effort and reconfiguration.
  • Dependency on Cloud Provider
    If using Confluent Cloud, dependency on the cloud provider’s infrastructure may introduce compliance and control limitations, particularly for businesses with strict data sovereignty requirements.

Push Technology features and specs

No features have been listed yet.

Confluent videos

1. Intro | Monitoring Kafka in Confluent Control Center

More videos:

  • Review - Jason Gustafson, Confluent: Revisiting Exactly One Semantics (EOS) | Bay Area Apache Kafka® Meetup
  • Review - CLEARER SKIN AFTER 1 USE‼️| Ancient Cosmetics Update✨| CONFLUENT & RETICULATED PAPILLOMATOSIS CURE?😩

Push Technology videos

Diffusion Intelligent Event-Data Platform

More videos:

  • Tutorial - Fundamentals of Pub/Sub with Diffusion.
  • Review - Element Push Technology Review

Category Popularity

0-100% (relative to Confluent and Push Technology)
Stream Processing
100 100%
0% 0
Developer Tools
0 0%
100% 100
Big Data
93 93%
7% 7
Technology
0 0%
100% 100

User comments

Share your experience with using Confluent and Push Technology. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Confluent seems to be more popular. It has been mentiond 1 time 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.

Confluent mentions (1)

  • Spring Boot Event Streaming with Kafka
    We’re going to setup a Kafka cluster using confluent.io, create a producer and consumer as well as enhance our behavior driven tests to include the new interface. We’re going to update our helm chart so that the updates are seamless to Kubernetes and we’re going to leverage our observability stack to propagate the traces in the published messages. Source: about 3 years ago

Push Technology mentions (0)

We have not tracked any mentions of Push Technology yet. Tracking of Push Technology recommendations started around Mar 2021.

What are some alternatives?

When comparing Confluent and Push Technology, you can also consider the following products

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Ably - The definitive realtime experience platform. Built for scale.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.

PieSync - Seamless two-way sync between your CRM, marketing apps and Google in no time

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