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Starfish ETL VS Azure Data Factory

Compare Starfish ETL VS Azure Data Factory and see what are their differences

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Starfish ETL logo Starfish ETL

The Starfish ETL (Extract Transform Load) Suite is a CRM integration and migration tool.

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.
  • Starfish ETL Landing page
    Landing page //
    2023-10-21
  • Azure Data Factory Landing page
    Landing page //
    2023-01-12

Starfish ETL features and specs

  • Flexibility
    Starfish ETL supports a wide variety of data sources and destinations, making it a versatile tool for data integration projects.
  • User-Friendly Interface
    Offers a graphical user interface (GUI) that simplifies the process of mapping data fields and creating integration workflows, making it accessible for users with varying levels of technical expertise.
  • Pre-Built Connectors
    Comes with a range of pre-built connectors for popular CRMs, ERPs, and databases, which can save time and reduce the complexity of setup.
  • Scalability
    Designed to handle both small and large data integration projects, allowing you to scale your operations as needed.
  • Support and Documentation
    Offers robust customer support and extensive documentation, which can help users troubleshoot issues and maximize the platform’s capabilities.
  • Customization
    Provides the ability to create highly customized data transformations and workflows, catering to unique business requirements.

Possible disadvantages of Starfish ETL

  • Cost
    As a feature-rich, enterprise-level tool, Starfish ETL can be relatively expensive, potentially making it a less attractive option for smaller businesses with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve associated with mastering the tool’s advanced features and capabilities.
  • Performance
    In some cases, users have noted that performance can degrade with very large data sets or highly complex transformations.
  • Dependency on Vendor
    Relying on a third-party tool for critical data integration can result in dependency on the vendor for updates, support, and feature enhancements.
  • Customization Complexity
    While customization is a strength, it can also be complex and time-consuming to implement, particularly for users who are not highly technical.

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 Starfish ETL

Overall verdict

  • Yes, Starfish ETL is considered a good solution for businesses looking to integrate multiple systems efficiently. Its user-friendly interface and wide range of connectors make it a reliable option for companies of various sizes.

Why this product is good

  • Starfish ETL is a popular integration platform that is known for its flexibility and ease of use. It provides a range of features that help businesses seamlessly connect different applications and systems. The platform supports cloud, on-premise, and hybrid environments, and offers pre-built connectors, making it easier to integrate various systems without extensive coding. Users appreciate its drag-and-drop interface, and the tool is particularly praised for good customer support and effective data transformation capabilities.

Recommended for

  • Businesses seeking a user-friendly ETL solution with robust integration capabilities.
  • Organizations that require flexibility between cloud, on-premise, and hybrid environments.
  • Companies that value strong customer support and need assistance during integration processes.
  • Teams looking for pre-built connectors to save time and reduce complexity in system integration.

Starfish ETL videos

+ Add

Connector Overview

Azure Data Factory videos

+ Add

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 Starfish ETL and Azure Data Factory)

Starfish ETL

Azure Data Factory

Data Integration
59 59%
Data Integration
41% 41
ETL
57 57%
ETL
43% 43
Web Service Automation
100 100%
Web Service Automation
0% 0
Marketing Analytics
0 0%
Marketing Analytics
100% 100

User comments

Share your experience with using Starfish ETL and Azure Data Factory. 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 Starfish ETL and Azure Data Factory

Starfish ETL Reviews

We have no reviews of Starfish ETL yet.
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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.
Source: www.datacamp.com
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.
Source: blog.bismart.com

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.

Starfish ETL mentions (0)

We have not tracked any mentions of Starfish ETL yet. Tracking of Starfish ETL 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 / 10 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: over 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 / over 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: over 4 years ago

What are some alternatives?

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

AWS Glue - Fully managed extract, transform, and load (ETL) service

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”.

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.

AWS Database Migration Service - AWS Database Migration Service allows you to migrate to AWS quickly and securely. Learn more about the benefits and the key use cases.

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.

Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

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