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Push Technology VS Spark Streaming

Compare Push Technology VS Spark Streaming and see what are their differences

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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.

Spark Streaming logo Spark Streaming

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

  • Spark Streaming Landing page
    Landing page //
    2022-01-10

Push Technology

Website
pushtechnology.com
Pricing URL
Official Push Technology Pricing
$ Details
freemium $49.0 / Monthly ($0.99 per million messages, $0.01 per connection)
Release Date
2006 December
Edit details

Spark Streaming

Website
spark.apache.org
Pricing URL
-
$ Details
-
Release Date
-
Edit details

Push Technology videos

+ Add

Diffusion Intelligent Event-Data Platform

More videos:

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

Spark Streaming videos

+ Add

Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

Category Popularity

0-100% (relative to Push Technology and Spark Streaming)

Push Technology

Spark Streaming

Developer Tools
100 100%
Developer Tools
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Data Management Platform (DMP)
100 100%
Data Management Platform (DMP)
0% 0
Data Management
0 0%
Data Management
100% 100

User comments

Share your experience with using Push Technology and Spark Streaming. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Spark Streaming seems to be more popular. It has been mentiond 3 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.

Push Technology mentions (0)

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

Spark Streaming mentions (3)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago

What are some alternatives?

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

Ably - Serious realtime infrastructure

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

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

Lightstreamer - Lightstreamer is a server for delivering real-time messages to browser-based and mobile...

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

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

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