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Azure Data Factory

Data integration and visualization platform that runs on the Microsoft enterprise cloud computing architecture

9.4

35 Votes

A cloud-based data integration service that orchestrates and automates the movement and transformation of data.

Overview

Azure Data Factory is a cloud-based data integration service that allows the creation of data-driven workflows for orchestrating and automating data movement and data transformation. With the ability to process and transform data from various sources, it offers a significant boost in productivity and efficiency over traditional ETL tools.

Key Features

Data Integration: Azure Data Factory allows for seamless integration of data from disparate sources, including SaaS and on-premises applications, into one unified view. This feature enables businesses to make more informed decisions based on comprehensive data analysis.

Pipeline Creation and Management: With this feature, complex ETL processes are streamlined into simple pipeline constructions, reducing the time and effort required to manage data workflows.

Data Transformation: Azure Data Factory supports both on-demand and scheduled data transformations using Hive, MapReduce, Spark, and Data Lake Analytics.

Scalability and Performance: The software is designed to handle high volumes of data and complex computing tasks. With Azure Data Factory, businesses can scale up or down based on their needs, ensuring optimal performance at all times.

Usability

Azure Data Factory provides a user-friendly interface that simplifies the process of creating, scheduling, and managing data pipelines. Although the learning curve may be steep for newcomers, extensive documentation and tutorials are available to ease the process.

Support and Resources

The software is backed by Microsoft's robust support system, which includes comprehensive documentation, a dedicated community of users, and direct contact with Microsoft support teams.

Conclusion

Azure Data Factory is a powerful tool for businesses that need to integrate and transform large volumes of data from various sources. Its robust features, scalability, and strong support system make it a reliable choice for businesses of all sizes.

Highest-Rated Features:

  1. User Segmentation and Security
  2. Internationalization
  3. Big Data Processing

Lowest-Rated Features:

  1. Hierarchical Data
  2. Breadth of Connectors
  3. Asynchronous Messaging
Company
Microsoft
HQ Location
Redmond, WA
Ownership
NASDAQ:MSFT
Total Revenue (USD mm)
$143,015
Top 3 Azure Data Factory Alternatives

IBM InfoSphere DataStage

A scalable data system developed for enterprises that is fast, flexible and allows for staging

AWS Glue

Prepare your data with an extract, transform, and load (ETL) service that's fully managed by Amazon

Apache NiFi

Visualize and graph data routing while you automate the flow of information between different containers