Software Alternatives, Accelerators & Startups
Register | Login

Mirroring360 VS Apache Airflow

Compare Mirroring360 VS Apache Airflow and see what are their differences

Flowlu
All-in-one work management platform for team collaboration. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Mirroring360 logo Mirroring360

Mirroring360 offers a streamlined platform to wirelessly mirror iOS, Android, Windows, Mac and Chromebook screens.

Apache Airflow logo Apache Airflow

Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
  • Mirroring360 Landing page
    Landing page //
    2021-10-18
  • Apache Airflow Landing page
    Landing page //
    2023-06-17

Mirroring360 features and specs

  • Cross-Platform Compatibility
    Mirroring360 supports multiple platforms including Windows, macOS, iOS, and Android, allowing users to easily share screens between different types of devices.
  • Ease of Use
    The user-friendly interface makes it easy for even non-technical users to set up and start mirroring their screens quickly.
  • Wireless Mirroring
    Allows for wireless screen mirroring, eliminating the need for cables and providing more flexibility in a wireless environment.
  • Multiple Device Connections
    Users can mirror screens from multiple devices simultaneously, which is beneficial for collaborative environments and presentations.
  • No Additional Hardware Required
    Mirroring360 does not require any additional adapters or dongles, making it a cost-effective solution for screen mirroring.

Possible disadvantages of Mirroring360

  • Limited Free Version
    The free version of Mirroring360 has limited features, and users need to purchase the full version to access all functionalities.
  • Performance Variability
    The performance can vary depending on the network quality and device compatibility, which can lead to lag or latency issues.
  • No Audio Support for Some Devices
    Certain device connections may not support audio mirroring, requiring alternative solutions for audio output.
  • Compatibility Limitations
    Although it supports major platforms, there may be specific device models or operating systems that are not fully compatible.
  • Requires Installation
    Both the sending and receiving devices need to have Mirroring360 installed, which might be a hurdle for one-off use cases.

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.

Analysis of Apache Airflow

Overall verdict

  • Yes, Apache Airflow is a good choice for managing complex workflows and data pipelines, particularly for organizations that require a scalable and reliable orchestration tool.

Why this product is good

  • Apache Airflow is considered good because it provides a robust and flexible platform for authoring, scheduling, and monitoring workflows. It is open-source and has a large community that contributes to its continuous improvement. Airflow's modular architecture allows for easy integration with various data sources and destinations, and its UI is user-friendly, enabling effective pipeline visualization and management. Additionally, it offers extensibility through a wide array of plugins and customization options.

Recommended for

    Apache Airflow is recommended for data engineers, data scientists, and IT professionals who need to automate and manage workflows. It is particularly suited for organizations handling large-scale data processing tasks, requiring integration with various systems, and those looking to deploy machine learning pipelines or ETL processes.

Mirroring360 videos

+ Add

Screen Sharing Demo with Mirroring360 Pro

More videos:

  • Review - Mirroring360 by Splashtop - Using Mirroring360
  • Review - Mirroring360 by Splashtop - Overview

Apache Airflow videos

+ Add

Airflow Tutorial for Beginners - Full Course in 2 Hours 2022

Category Popularity

0-100% (relative to Mirroring360 and Apache Airflow)

Mirroring360

Apache Airflow

Screen Mirroring
100 100%
Screen Mirroring
0% 0
Workflow Automation
0 0%
Workflow Automation
100% 100
Android App
100 100%
Android App
0% 0
Automation
0 0%
Automation
100% 100

User comments

Share your experience with using Mirroring360 and Apache Airflow. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Mirroring360 and Apache Airflow

Mirroring360 Reviews

5 Apps To Display Smartphone Screen On Your Computer
Mirroring360 is available for iOS/Android devices and helps display your smartphone screen on your computer screen. With the paid version of the program, you can broadcast your screen to 40 different devices. And the broadcast is available on any device, just follow the link.
Source: medium.com

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...
Source: www.kdnuggets.com
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.
Source: www.datacamp.com
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.
Source: www.softwaretestinghelp.com

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.

Mirroring360 mentions (0)

We have not tracked any mentions of Mirroring360 yet. Tracking of Mirroring360 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 / 3 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 / 4 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 / 5 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 / 5 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 / 6 months ago
View more

What are some alternatives?

When comparing Mirroring360 and Apache Airflow, you can also consider the following products

LonelyScreen - AirPlay Receiver for PC/MAC. Cast iPhone/iPad screen to PC/MAC easily. Music, Movies and Screen Mirroring. Get started today. Cast AirPlay to PC/MAC.

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

Reflector - At Squirrels, our passion lies in creating great products that enhance learning and productivity for individuals, education and businesses.‎Download AirParrot for Mac .

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

AirServer - AirServer is a Mac and PC application that allows you to stream or mirror your Android device to your PC or Mac.

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.

Loading...