Azure Data Factory

About Azure Data Factory

Deep Dive with Clara AI

Azure Data Factory (ADF) is a cloud-based data integration service that enables developers to integrate data from a wide range of sources, both on-premises and in the cloud. Data can be pulled from a variety of sources, including SQL Server databases hosted on-premises and cloud-based Azure Storage (Blob and Tables) and Azure SQL Database. ADF then moves the data between the various sources in order to create a unified and consistent data set. This unified data set can then be used for a variety of purposes, such as analytics and reporting. ADF provides access to a range of features that make it easier for developers to move and transform data, including automated data pipelines, visual tools for data mapping, and monitoring and alerting capabilities. By using ADF, developers are able to quickly and easily integrate data from multiple sources, allowing them to quickly analyze data and gain valuable insights.

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Pricing

Free Trial Not Available
Offers Custom plan.
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Platforms Supported

Browser Based (Cloud)

Organization Types Supported

All (Small, Medium, Large)

API Support

NA

Modes of Support

Business Hours, Online

Azure Data Factory Features

Show Feature Explanation

Debugging

An integral part in appplication development that locates and corrects code errors in a computer program

Customer Pipeline

Helps to manage sales and business prospects and boosting them down the sales funnel

Monitoring

Helps to monitor the database content and data accessibility in an automated and orderly manner

Orchestrator

A web application that manages, controls, and monitors every robot that run repetitive business processes

Azure Data Factory Pricing

Free Trial

Not available

Pricing Options

Premium Plans ( Quotation Based )

Azure Data Factory Custom

Pay only for what used with no upfront cost

Features

Accelerate data transformation with code-free data flows
Rehost and extend SSIS in a few clicks
Ingest all your data with built-in connectors
Hybrid data integration, simplified

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Disclaimer: The pricing details were last updated on 10/01/2023 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.

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Azure Data Factory Reviews

User Rating

4.7/5 (Based on 70 Ratings)

Rating Distribution

Excellent
71.4%
Very Good
25.7%
Average
2.9%
Poor
0%
Terrible
0%

User Sentiments

Ease of Use, Data Transformation Capabilities, Extensive Integrations, Visual Interface

Limited Connector Support (For Non-Azure Services), Complex Transformations Can Be Challenging, Debugging Complex Data Flows Can Be Difficult, Occasional Performance Issues (Especially with Large Datasets)

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Review Summary

Azure Data Factory is highly praised for its ease of use, particularly its drag-and-drop interface and a wide range of connectors for various data sources. Users appreciate its ability to orchestrate complex data flows, automate ETL processes, and integrate with other Azure services. However, some users find the debugging process challenging and point to limitations in handling nested control flows and complex transformations. Also, while the platform is lauded for its scalability and performance, concerns about cost and the need for more comprehensive documentation and tutorials have been raised. Overall, Azure Data Factory is a powerful tool for data integration, offering benefits for both beginners and experienced users.