Software Alternatives, Accelerators & Startups

Workato VS Azure Data Factory

Compare Workato VS Azure Data Factory and see what are their differences

Workato logo Workato

Experts agree - we're the leader. Forrester Research names Workato a Leader in iPaaS for Dynamic Integration. Get the report. Gartner recognizes Workato as a “Cool Vendor in Social Software and Collaboration”.

Azure Data Factory logo Azure Data Factory

Learn more about Azure Data Factory, the easiest cloud-based hybrid data integration solution at an enterprise scale. Build data factories without the need to code.
  • Workato Landing page
    Landing page //
    2023-09-16
  • Azure Data Factory Landing page
    Landing page //
    2023-01-12

Workato

Release Date
2013 January
Startup details
Country
United States
State
California
Founder(s)
Alexey Timanovskiy
Employees
250 - 499

Workato features and specs

  • Ease of Use
    Workato offers a user-friendly interface with low-code/no-code capabilities, making it accessible for non-technical users to build and manage automated workflows.
  • Extensive Integrations
    The platform supports a wide range of integrations with major applications and services, allowing businesses to connect disparate systems and streamline processes.
  • Scalability
    Workato can handle large-scale automation projects, making it suitable for both small businesses and large enterprises.
  • Advanced Features
    The platform includes advanced functionalities like AI, machine learning, and natural language processing, which can enhance complex workflows.
  • Security
    Workato ensures robust security features, including data encryption and compliance with various industry standards, which is crucial for protecting sensitive information.

Possible disadvantages of Workato

  • Cost
    Workato can be relatively expensive compared to other automation tools, which might deter small businesses or individuals with limited budgets.
  • Learning Curve for Advanced Features
    While the basic features are easy to use, mastering the more advanced functionalities may require significant time and effort.
  • Complex Pricing Structure
    The pricing model can be complex and may not be straightforward for new users to understand, potentially leading to unexpected costs.
  • Performance Issues
    Some users have reported occasional performance issues, such as slow execution times for tasks, especially when dealing with large volumes of data.
  • Limited Custom Scripting
    Although it supports a wide range of integrations, there's limited flexibility for custom scripting compared to other more developer-focused platforms.

Azure Data Factory features and specs

  • Scalability
    Azure Data Factory can handle significant data volumes and allows for scaling up or down as needed, making it suitable for both small and complex data integration projects.
  • Integration
    It provides native integration with various Azure services and a wide array of connectors for different data sources, facilitating seamless data flow across platforms.
  • Cost-effective
    The pay-as-you-go pricing model enables cost management by aligning expenses with actual usage patterns, which can be beneficial for budget-conscious projects.
  • Ease of Use
    Offers a user-friendly interface with drag-and-drop features, making it accessible even for users with limited coding experience.
  • Security
    Azure Data Factory includes robust security features like network isolation, access management, and encryption both in-transit and at-rest, ensuring data protection.

Possible disadvantages of Azure Data Factory

  • Complexity
    Managing large and complex data pipelines may require a steep learning curve and expertise in Azure services, which could be a hindrance for non-technical users.
  • Debugging Challenges
    Debugging tasks and identifying error sources in complex ETL processes can be cumbersome, requiring detailed monitoring and analysis.
  • Limited On-Premise Integration
    While ADF offers numerous connectors, integration with certain on-premise data stores might still require additional configuration and setup.
  • Latency Issues
    Data transfer latency can occur when dealing with extremely large datasets or when integrating multiple cloud and on-premise sources.
  • Dependency on Cloud
    As a cloud-based service, performance can be impacted by internet connectivity issues, and consistent access to the cloud is necessary for operations.

Analysis of Workato

Overall verdict

  • Workato is considered a strong choice for businesses seeking to streamline operations through integration and automation. Its robust features, scalability, and flexibility make it suitable for a wide range of industries and use cases.

Why this product is good

  • Workato is a popular integration and automation platform that allows businesses to connect various applications and automate workflows without extensive coding. It is renowned for its user-friendly interface, extensive library of pre-built integrations, and ability to handle complex automation tasks, which makes it appealing for both technical and non-technical users.

Recommended for

    Workato is recommended for medium to large businesses looking for a comprehensive integration solution, IT teams aiming to reduce manual processes, and organizations that want to empower business users to create their own automations while maintaining IT oversight.

Workato videos

Webinar Series by Workato | Introduction to Workato (Main)

More videos:

  • Review - Workato Product Updates - February 2020
  • Review - Vijay Tella, Workato CEO: Welcome to the New Era of Automation

Azure Data Factory videos

Azure Data Factory Tutorial | Introduction to ETL in Azure

More videos:

  • Review - Use Azure Data Factory to copy and transform data
  • Review - Pass summit 2019: Head to Head, SSIS Versus Azure Data Factory

Category Popularity

0-100% (relative to Workato and Azure Data Factory)
Data Integration
76 76%
24% 24
Web Service Automation
87 87%
13% 13
ETL
0 0%
100% 100
API Tools
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Workato and Azure Data Factory

Workato Reviews

Top MuleSoft Alternatives for ITSM Leaders in 2025
In recent years, MuleSoft has expanded its focus into process automation, offering robotic process automation (RPA) and intelligent document processing (IDP) functionality. These areas bring MuleSoft’s service offering closer to broad, intelligent automation platforms like Workato and UiPath but away from an integration service vendor.
Source: www.oneio.cloud
The Best MuleSoft Alternatives [2024]
Workato is an integration solution that uses recipes — a set of pre-made instructions — to control how systems interact with each other.
Source: exalate.com
Top 15 MuleSoft Competitors and Alternatives
Workato is a leader in enterprise automation that provides a no-code platform for automating business workflows. In Aug 2022, Workato was named to the Forbes Cloud 100 list. The company serves over 17,000 brands, including Broadcom, Intuit, and Box. [5]
Top 9 MuleSoft Alternatives & Competitors in 2024
From ticketing systems and monitoring tools to cloud services and databases, Workato seamlessly integrates with a wide range of applications. This ensures smooth information flow across your IT ecosystem. By leveraging Workato, you can focus on strategic initiatives, enhance service delivery, and achieve operational excellence.
Source: www.zluri.com
7 Best Zapier Alternatives to Meet Your Integration Needs
Zapier’s pricing, while high, is more justifiable than Workato’s. Workato doesn’t make its pricing information public to begin with. Workato compels the buyers to go through its sales and demo process to give them custom pricing.

Azure Data Factory Reviews

Best ETL Tools: A Curated List
Azure Data Factory uses a pay-as-you-go pricing model based on several factors, including the number of activities performed, the duration of integration runtime hours, and data movement volumes. This flexible pricing allows for scaling based on workload but can lead to complex cost structures for larger or more complex data integration projects.
Source: estuary.dev
15+ Best Cloud ETL Tools
Azure Data Factory is a fully managed, serverless data integration service by Azure Cloud. You can easily connect to more than 90 built-in data sources without any added cost, allowing for efficient data integration at an enterprise level. Azure's visual platform lets you create ETL and ELT processes without having to write any code.
Source: estuary.dev
Top 8 Apache Airflow Alternatives in 2024
While Apache Airflow focuses on creating tasks and building dependencies between them for workflow automation, Azure Data Factory is suitable for integration tasks. It would be a perfect fit for the construction of the ETL and ELT pipelines for data migration and integration across platforms.
Source: blog.skyvia.com
A List of The 16 Best ETL Tools And Why To Choose Them
Azure Data Factory is a cloud-based ETL service offered by Microsoft used to create workflows that move and transform data at scale.
Top Big Data Tools For 2021
Azure Data Factory is a cloud solution that enables you to integrate data between multiple relational and non-relational sources, transforming it according to your objectives and requirements.

Social recommendations and mentions

Based on our record, Azure Data Factory seems to be more popular. It has been mentiond 4 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.

Workato mentions (0)

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

Azure Data Factory mentions (4)

  • Choosing the right, real-time, Postgres CDC platform
    The major infrastructure providers offer CDC products that work within their ecosystem. Tools like AWS DMS, GCP Datastream, and Azure Data Factory can be configured to stream changes from Postgres to other infrastructure. - Source: dev.to / 6 months ago
  • (Recommend) Fun Open Source Tool for Pushing Data Around
    You might want to look at Azure Data Factory https://azure.microsoft.com/en-us/services/data-factory/ to extend SSIS EDIT: Yes, I missed the "open source" part :). Source: about 3 years ago
  • Deploying Azure Data Factory using Bicep
    I'm also planning to do more content with Azure Data Factory, so I'd thought it be good to make a video combining the two. - Source: dev.to / about 4 years ago
  • Class construction help
    Or, if oyu are using azure then azure data factory https://azure.microsoft.com/en-us/services/data-factory/. Source: about 4 years ago

What are some alternatives?

When comparing Workato and Azure Data Factory, you can also consider the following products

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

DataTap - Adverity is the best data intelligence software for data-driven decision making. Connect to all your sources and harmonize the data across all channels.

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

Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.

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.

Skyvia - Free cloud data platform for data integration, backup & management