Software Alternatives, Accelerators & Startups

Pushwoosh VS Apache Airflow

Compare Pushwoosh VS Apache Airflow and see what are their differences

Pushwoosh logo Pushwoosh

Mobile-inspired customer engagement platform for high achievers

Apache Airflow logo Apache Airflow

Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
  • 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 Airflow Landing page
    Landing page //
    2023-06-17

Pushwoosh features and specs

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

Apache Airflow features and specs

  • Scalability
    Apache Airflow can scale horizontally, allowing it to handle large volumes of tasks and workflows by distributing the workload across multiple worker nodes.
  • Extensibility
    It supports custom plugins and operators, making it highly customizable to fit various use cases. Users can define their own tasks, sensors, and hooks.
  • Visualization
    Airflow provides an intuitive web interface for monitoring and managing workflows. The interface allows users to visualize DAGs, track task statuses, and debug failures.
  • Flexibility
    Workflows are defined using Python code, which offers a high degree of flexibility and programmatic control over the tasks and their dependencies.
  • Integrations
    Airflow has built-in integrations with a wide range of tools and services such as AWS, Google Cloud, and Apache Hadoop, making it easier to connect to external systems.

Possible disadvantages of Apache Airflow

  • Complexity
    Setting up and configuring Apache Airflow can be complex, particularly for new users. It requires careful management of infrastructure components like databases and web servers.
  • Resource Intensive
    Airflow can be resource-heavy in terms of both memory and CPU usage, especially when dealing with a large number of tasks and DAGs.
  • Learning Curve
    The learning curve can be steep for users who are not familiar with Python or the underlying concepts of workflow management.
  • Limited Real-Time Processing
    Airflow is better suited for batch processing and scheduled tasks rather than real-time event-based processing.
  • Dependency Management
    Managing task dependencies in complex DAGs can become cumbersome and may lead to configuration errors if not properly handled.

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

Apache Airflow videos

Airflow Tutorial for Beginners - Full Course in 2 Hours 2022

Category Popularity

0-100% (relative to Pushwoosh and Apache Airflow)
Workflow Automation
27 27%
73% 73
Automation
30 30%
70% 70
Web Service Automation
37 37%
63% 63
Push Notifications
100 100%
0% 0

Questions and Answers

As answered by people managing Pushwoosh and Apache Airflow.

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

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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 Airflow

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 Airflow Reviews

5 Airflow Alternatives for Data Orchestration
While Apache Airflow continues to be a popular tool for data orchestration, the alternatives presented here offer a range of features and benefits that may better suit certain projects or team preferences. Whether you prioritize simplicity, code-centric design, or the integration of machine learning workflows, there is likely an alternative that meets your needs. By...
Top 8 Apache Airflow Alternatives in 2024
Apache Airflow is a workflow streamlining solution aiming at accelerating routine procedures. This article provides a detailed description of Apache Airflow as one of the most popular automation solutions. It also presents and compares alternatives to Airflow, their characteristic features, and recommended application areas. Based on that, each business could decide which...
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
In a nutshell, you gained a basic understanding of Apache Airflow and its powerful features. On the other hand, you understood some of the limitations and disadvantages of Apache Airflow. Hence, this article helped you explore the best Apache Airflow Alternatives available in the market. So, you can try hands-on on these Airflow Alternatives and select the best according to...
Source: hevodata.com
A List of The 16 Best ETL Tools And Why To Choose Them
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows.
15 Best ETL Tools in 2022 (A Complete Updated List)
Apache Airflow programmatically creates, schedules and monitors workflows. It can also modify the scheduler to run the jobs as and when required.

Social recommendations and mentions

Based on our record, Apache Airflow seems to be more popular. It has been mentiond 75 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 Airflow mentions (75)

  • The DOJ Still Wants Google to Sell Off Chrome
    Is this really true? Something that can be supported by clear evidence? I’ve seen this trotted out many times, but it seems like there are interesting Apache projects: https://airflow.apache.org/ https://iceberg.apache.org/ https://kafka.apache.org/ https://superset.apache.org/. - Source: Hacker News / about 2 months ago
  • 10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows
    Apache Airflow offers simplicity when it comes to scheduling, authoring, and monitoring ML workflows using Python. The tool's greatest advantage is its compatibility with any system or process you are running. This also eliminates manual intervention and increases team productivity, which aligns with the principles of Platform Engineering tools. - Source: dev.to / 3 months ago
  • Data Orchestration Tool Analysis: Airflow, Dagster, Flyte
    Data orchestration tools are key for managing data pipelines in modern workflows. When it comes to tools, Apache Airflow, Dagster, and Flyte are popular tools serving this need, but they serve different purposes and follow different philosophies. Choosing the right tool for your requirements is essential for scalability and efficiency. In this blog, I will compare Apache Airflow, Dagster, and Flyte, exploring... - Source: dev.to / 3 months ago
  • AIOps, DevOps, MLOps, LLMOps – What’s the Difference?
    Data pipelines: Apache Kafka and Airflow are often used for building data pipelines that can continuously feed data to models in production. - Source: dev.to / 4 months ago
  • Data Engineering with DLT and REST
    This article demonstrates how to work with near real-time and historical data using the dlt package. Whether you need to scale data access across the enterprise or provide historical data for post-event analysis, you can use the same framework to provide customer data. In a future article, I'll demonstrate how to use dlt with a workflow orchestrator such as Apache Airflow or Dagster.``. - Source: dev.to / 5 months ago
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What are some alternatives?

When comparing Pushwoosh and Apache Airflow, 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.

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

Pipefy - Pipefy is a process management software that empowers anyone to create and automate efficient workflows on their own without code.

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.

Kissflow - Kissflow is a workflow tool & business process workflow management software to automate your workflow process. Rated #1 cloud workflow software in Google Apps Marketplace.

Process Street - Create beautiful rich process documents in a simple to follow checklist format. Fast, free and incredibly simple to use.