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Azure Data Factory VS Talend

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

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

Talend logo Talend

Talend Cloud delivers a single, open platform for data integration across cloud and on-premises environments. Put more data to work for your business faster with Talend.
  • Azure Data Factory Landing page
    Landing page //
    2023-01-12
  • Talend Landing page
    Landing page //
    2023-06-20

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.

Talend features and specs

  • Open-Source Components
    Talend offers open-source tools, which provides flexibility and cost savings for organizations that prefer or require open-source solutions.
  • Integration Capability
    Talend excels in its ability to integrate with a variety of data sources, applications, and platforms, making it versatile for different data integration needs.
  • User-Friendly Interface
    Talend provides a drag-and-drop interface that simplifies the process of designing and managing data integration workflows, making it accessible for users with varying levels of technical expertise.
  • Comprehensive Data Management
    The platform offers a suite of tools for data quality, data profiling, and master data management, helping organizations ensure high-quality and consistent data.
  • Scalability
    Talend can handle both small-scale and large-scale data integration projects, making it a robust solution as organizational data needs grow.

Possible disadvantages of Talend

  • Learning Curve
    Although Talend is user-friendly, it has a steep learning curve for users who are new to data integration tools, requiring considerable time to master.
  • Performance Overhead
    Talend may introduce some performance overhead, especially in complex workflows, which can impact the speed and efficiency of data processing.
  • Cost for Advanced Features
    While Talend offers open-source components, more advanced features and enterprise-level support come with a premium price tag, which can be a barrier for smaller organizations.
  • Initial Setup Complexity
    The initial setup and configuration of Talend can be complex and time-consuming, requiring careful planning and execution to avoid potential issues.
  • Limited Real-Time Processing
    Talend can be less effective for real-time data processing scenarios compared to some of its competitors, limiting its use in environments where real-time data integration is critical.

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

Talend videos

+ Add

Talend Software Review

More videos:

  • Tutorial - Talend ETL Tutorial | Talend Tutorial For Beginners | Talend Online Training | Edureka
  • Tutorial - What is Talend | Talend Tutorial for Beginners | Talend Online Training | Edureka

Category Popularity

0-100% (relative to Azure Data Factory and Talend)

Azure Data Factory

Talend

Data Integration
25 25%
Data Integration
75% 75
ETL
28 28%
ETL
72% 72
Web Service Automation
100 100%
Web Service Automation
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100

User comments

Share your experience with using Azure Data Factory and Talend. 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 Azure Data Factory and Talend

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

Talend Reviews

Best ETL Tools: A Curated List
Limited connectors: Talend claims 1000+ connectors. But it lists 50 or so databases, file systems, applications, messaging, and other systems it supports. The rest are Talend Cloud Connectors, which you create as reusable objects.
Source: estuary.dev
Top 11 Fivetran Alternatives for 2024
Talend, also now part of Qlik, has two main products—Talend Data Fabric and Stitch (covered under Stitch.) Talend Data Fabric is a data integration platform that, like Informatica, is broader than ETL. It also offers data quality and data governance features, ensuring that your data is not only integrated but also reliable and well-managed.
Source: estuary.dev
Top 14 ETL Tools for 2023
While some users will find the open-source version of Talend (Talend Open Studio) sufficient, larger enterprises will likely prefer Talend’s paid Data Integration platform. This version of Talend includes additional tools and features for design, productivity, management, monitoring, business intelligence, and data governance.
Source: www.integrate.io
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Talend is one of the best AWS RedShift ETL tools. It allows you to quickly build integration processes by moving components into the graphical workspace, defining connections and relationships, and setting specific properties. This approach helps to create jobs and monitor the progress of their execution.
Source: visual-flow.com
Top ETL Tools For 2021...And The Case For Saying "No" To ETL
Talend also has Master Data Management (MDM) functionality, which allows organizations to have a single, consistent and accurate view of key enterprise data. This can create better transparency across a business, and lead to better operational efficiency, marketing effectiveness and compliance.
Source: blog.panoply.io

Social recommendations and mentions

Based on our record, Azure Data Factory should be more popular than Talend. 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.

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 / almost 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: almost 4 years ago

Talend mentions (1)

  • Couldn't parse value for column 'ID' in 'row1'
    Hello all im new to talend and im trying to do the tutorials provided by talend.com here:. Source: almost 3 years ago

What are some alternatives?

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

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”.

Matillion - Matillion is a cloud-based data integration software.

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 Services Platform - Talend Data Services Platform is a single solution for data and application integration to deliver projects faster at a lower cost.

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.

Stitch - Consolidate your customer and product data in minutes

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