Software Alternatives & Reviews

Pushwoosh VS Google Cloud Dataflow

Compare Pushwoosh VS Google Cloud Dataflow and see what are their differences

Pushwoosh logo Pushwoosh

Mobile-inspired customer engagement platform for high achievers

Google Cloud Dataflow logo Google Cloud Dataflow

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

  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03

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

Google Cloud Dataflow features and specs

No features have been listed yet.

Pushwoosh videos

Pushwoosh Overview Video

More videos:

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

Google Cloud Dataflow videos

Introduction to Google Cloud Dataflow - Course Introduction

More videos:

  • Review - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • Review - Apache Beam and Google Cloud Dataflow

Category Popularity

0-100% (relative to Pushwoosh and Google Cloud Dataflow)
Workflow Automation
100 100%
0% 0
Big Data
0 0%
100% 100
Automation
100 100%
0% 0
Data Dashboard
0 0%
100% 100

Questions and Answers

As answered by people managing Pushwoosh and Google Cloud Dataflow.

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 Google Cloud Dataflow. 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 Google Cloud Dataflow

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

Google Cloud Dataflow Reviews

Top 8 Apache Airflow Alternatives in 2024
Google Cloud Dataflow is highly focused on real-time streaming data and batch data processing from web resources, IoT devices, etc. Data gets cleansed and filtered as Dataflow implements Apache Beam to simplify large-scale data processing. Such prepared data is ready for analysis for Google BigQuery or other analytics tools for prediction, personalization, and other purposes.
Source: blog.skyvia.com

Social recommendations and mentions

Based on our record, Google Cloud Dataflow seems to be more popular. It has been mentiond 14 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.

Google Cloud Dataflow mentions (14)

  • How do you implement CDC in your organization
    Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
  • Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
    This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
  • How are view/listen counts rolled up on something like Spotify/YouTube?
    I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
  • Best way to export several GCP datasets to AWS?
    You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
  • Why we don’t use Spark
    It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing Pushwoosh and Google Cloud Dataflow, 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.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

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

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?