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Pushwoosh VS Apache Spark

Compare Pushwoosh VS Apache Spark and see what are their differences

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  3. » Reviews
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Pushwoosh logo Pushwoosh

Mobile-inspired customer engagement platform for high achievers

Apache Spark logo Apache Spark

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
  • Pushwoosh Landing page
    Landing page //
    2023-02-04

Using Pushwoosh’s tech-easy solutions, 80 000 companies from across the industries have built effective communication strategies with the use of push notifications, in-app messages, emails, SMS, WhatsApp, and omnichannel triggered messaging.

  • Apache Spark Landing page
    Landing page //
    2021-12-31

Pushwoosh features and specs

  • Mobile Push Notifications: Yes
  • Web Push Notifications: Yes
  • In-App Messaging: Yes
  • Customer Journey Builder: Yes
  • Email: Yes
  • SMS: Yes
  • WhatsApp: Yes
  • Behavioral Segmentation: Yes

Apache Spark features and specs

No features have been listed yet.

Pushwoosh videos

+ Add

Pushwoosh Overview Video

More videos:

  • Review - Push notifications by Pushwoosh: Pushes are coming
  • Demo - Overview of the Pushwoosh platform features and use cases

Apache Spark videos

+ Add

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Category Popularity

0-100% (relative to Pushwoosh and Apache Spark)

Pushwoosh

Apache Spark

Workflow Automation
100 100%
Workflow Automation
0% 0
Databases
0 0%
Databases
100% 100
Automation
100 100%
Automation
0% 0
Big Data
0 0%
Big Data
100% 100

Questions and Answers

As answered by people managing Pushwoosh and Apache Spark.

Why should a person choose your product over its competitors?

Pushwoosh's answer

At Pushwoosh, we understand our essential role as delivering messages to the right audience at the right time. In the 14 years of experience, we have mastered the art of personalized and contextually relevant messaging. We provide strong data security for you and your end users. Pushwoosh only collects the data that is necessary to ensure relevant communications with end users. Our clients have full control over how we get access to their data. Pushwoosh stores data on private servers located in the US and Germany with safety and regulatory compliance guarantees.

How would you describe your primary audience?

Pushwoosh's answer

Companies from E-Commerce, Foodtech, Fintech, Travel, News & Media, and Gaming industries.

User comments

Share your experience with using Pushwoosh and Apache Spark. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Pushwoosh and Apache Spark

Pushwoosh Reviews

12 Best Push Notification Services to Rely on in 2024
Every PushWoosh customer will be able to stay on top of its push campaign, thanks to real-time analytics, so you will be able to modify campaigns on the go. And given there are push templates, it will be quick and easy to prepare messages with new content.
Source: notix.co

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Source: searchbusinessanalytics.techtarget.com
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
Source: www.spec-india.com
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Apache Spark seems to be more popular. It has been mentiond 56 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.

Pushwoosh mentions (0)

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

Apache Spark mentions (56)

  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / about 2 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 4 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
  • Spark – A micro framework for creating web applications in Kotlin and Java
    A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago
View more

What are some alternatives?

When comparing Pushwoosh and Apache Spark, you can also consider the following products

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

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

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Make.com - Tool for workflow automation (Former Integromat)

Hadoop - Open-source software for reliable, scalable, distributed computing

Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.

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