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Apache Airflow VS snaplogic

Compare Apache Airflow VS snaplogic and see what are their differences

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Apache Airflow logo Apache Airflow

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

snaplogic logo snaplogic

SnapLogic's Cloud Integration Platform as a Service helps to connect your data, apps and APIs faster. Get more from your big data investments with SnapLogic.
  • Apache Airflow Landing page
    Landing page //
    2023-06-17
  • snaplogic Landing page
    Landing page //
    2023-09-17

Apache Airflow

Website
airflow.apache.org
$ Details
Release Date
-
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snaplogic

Website
snaplogic.com
$ Details
-
Release Date
2006 January
Startup details
Country
United States
State
California
City
San Mateo
Founder(s)
Mike Pittaro
Employees
100 - 249
Edit details

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.

snaplogic features and specs

  • Ease of Use
    SnapLogic offers a drag-and-drop interface, making it user-friendly even for non-technical users. This simplifies the process of creating and managing data integrations.
  • Scalability
    SnapLogic is designed to handle large volumes of data, providing scalability for enterprises as their data needs grow. It can efficiently manage complex data workflows.
  • Versatility
    With a wide range of pre-built connectors known as Snaps, SnapLogic can integrate with numerous applications, databases, and platforms. This allows for a highly versatile and flexible integration environment.
  • Cloud and On-Premises Support
    SnapLogic supports both cloud-based and on-premises environments, giving organizations the flexibility to integrate data across different infrastructures.
  • Real-Time Data Processing
    The platform offers real-time data processing capabilities, allowing for timely insights and faster decision-making processes.

Possible disadvantages of snaplogic

  • Cost
    SnapLogic can be expensive compared to other data integration tools, particularly for smaller organizations or those with limited budgets. The cost may increase with the scale of usage.
  • Learning Curve
    While the drag-and-drop interface is user-friendly, mastering the full capabilities of SnapLogic may require a significant time investment, especially for complex integrations.
  • Limited Customization
    There may be limitations in customizing specific Snaps, which could be restrictive for highly specialized use cases that require extensive customization.
  • Performance Variability
    Some users have reported performance issues, such as latency in data processing, particularly when dealing with very large datasets or complex workflows.
  • Integration Overhead
    Set-up and maintenance of data integrations can sometimes demand more effort and resources than initially anticipated, affecting both time and cost efficiency.

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.

Analysis of snaplogic

Overall verdict

  • Overall, SnapLogic is regarded as a strong choice for organizations seeking an efficient and comprehensive integration solution. It offers a balance of functionality, scalability, and ease of use, which makes it appealing across various industries.

Why this product is good

  • SnapLogic is considered a good integration platform because it provides a user-friendly, scalable solution for connecting various applications, data, and APIs. Its cloud-based, low-code environment facilitates ease of use and rapid deployment, making it suitable for a wide range of users, including those without extensive technical expertise. Additionally, it offers pre-built connectors, artificial intelligence-driven functionalities, and robust support for real-time and batch integrations, making it versatile for different use cases.

Recommended for

  • Organizations looking to integrate cloud and on-premises systems seamlessly.
  • Businesses seeking a low-code platform to enable quick and easy application and data integration.
  • Companies that require real-time data integration and processing capabilities.
  • Enterprises that value flexibility and scalability in their integration solutions.

Apache Airflow videos

+ Add

Airflow Tutorial for Beginners - Full Course in 2 Hours 2022

snaplogic videos

+ Add

SnapLogic Architecture Overview

More videos:

  • Review - SnapLogic eXtreme Overview
  • Review - SnapLogic Live: IoT Integration

Category Popularity

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

Apache Airflow

snaplogic

Workflow Automation
100 100%
Workflow Automation
0% 0
Data Integration
0 0%
Data Integration
100% 100
Automation
100 100%
Automation
0% 0
Web Service Automation
72 72%
Web Service Automation
28% 28

User comments

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Reviews

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

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

snaplogic Reviews

Best ETL Tools: A Curated List
SnapLogic’s pricing model is not transparent and is a little complex. There are two tiers of premium snaps (+$15K, +$45K), which you may need for source app connectivity (e.g., NetSuite, Workday), and add-ons for scalability, recoverability, pushdown (ELT), real-time, and multi-org support. While there is generally no volume-based pricing, there is for API calls.
Source: estuary.dev
Top MuleSoft Alternatives for ITSM Leaders in 2025
SnapLogic, the Intelligent Integration Platform (IIP), focuses on data integration, leveraging AI to boost automation and productivity. It supports diverse integration needs through a user-friendly interface and a modular approach. While innovative, its B2B capabilities are modest, making it suited for organizations prioritizing low-code process automation and data integration.
Source: www.oneio.cloud
The Best MuleSoft Alternatives [2024]
SnapLogic is a platform that allows you to integrate, automate, and orchestrate the flow of data and applications across your organization.
Source: exalate.com
15+ Best Cloud ETL Tools
Besides being an efficient solution for data integration, SnapLogic is also a leader in the area of graphical, AI-augmented data pipeline design. Its advanced AI-driven recommendation engine, Iris, harnesses over 6 years and 7 petabytes of metadata to enable the creation of pipelines that are significantly faster and more efficient.
Source: estuary.dev
Best iPaaS Softwares
SnapLogic is the leader in self-service integration. The company’s Intelligent Integration Platform makes it fast and easy to connect applications, data, APIs, and things. Hundreds of Global 2000 customers — including Adobe, AstraZeneca, Box, GameStop, Verizon, and Wendy’s — rely on SnapLogic to automate business processes, accelerate analytics, and drive digital...
Source: iotbyhvm.ooo

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.

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 / 4 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

snaplogic mentions (0)

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

What are some alternatives?

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

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

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

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

Boomi - The #1 Integration Cloud - Build Integrations anytime, anywhere with no coding required using Dell Boomi's industry leading iPaaS platform.

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.

MuleSoft Anypoint Platform - Anypoint Platform is a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.

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