Table of contents
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.
We have collected here some useful links to help you find out if Azure Data Factory is good.
Check the traffic stats of Azure Data Factory on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Azure Data Factory on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Azure Data Factory's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Azure Data Factory on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Azure Data Factory on Reddit. This can help you find out how popualr the product is and what people think about it.
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
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
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
Or, if oyu are using azure then azure data factory https://azure.microsoft.com/en-us/services/data-factory/. Source: over 4 years ago
Azure Data Factory (ADF) is a prominent player in the field of data integration and ETL processes, competing alongside notable services like Workato, Talend Data Integration, and IBM DataStage. Public sentiment around ADF generally highlights its robust capabilities in handling diverse data integration requirements. Here's a detailed analysis based on recent product mentions and user discussions.
One of the most frequently noted aspects of Azure Data Factory is its pay-as-you-go pricing model. Articles like 'Best ETL Tools: A Curated List' emphasize the flexibility of this model, which allows users to scale their services according to workload demands. While cost efficiency is a noted advantage, the pricing structure can become intricate, especially for larger projects involving complex data integration tasks. Users need to be cognizant of potential cost implications as their data activities scale.
Azure Data Factory stands out for its comprehensive integration capabilities. As noted in '15+ Best Cloud ETL Tools', ADF offers seamless connectivity to over 90 built-in data sources without additional costs, facilitating efficient enterprise-level data integration. This feature is particularly valuable for organizations aiming to streamline their data processes across diverse platforms.
Publications such as 'Top 8 Apache Airflow Alternatives in 2024' highlight Azure Data Factory’s suitability for constructing ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines. ADF provides an intuitive, visual platform for process development, which enables users to design workflows without extensive coding knowledge. This capability is crucial for businesses seeking to optimize their data migration and integration strategies.
ADF is acknowledged as a powerful, cloud-based ETL tool by sources such as 'A List of The 16 Best ETL Tools And Why To Choose Them'. Its ability to handle substantial data transformations and integrations between various relational and non-relational sources underscores its utility for organizations operating in cloud environments.
Azure Data Factory is seen as holding its ground among major data integration services, as noted in discussions about CDC (Change Data Capture) tools in the post titled 'Choosing the right, real-time, Postgres CDC platform'. ADF’s compatibility with CDC operations demonstrates its adaptability within the cloud infrastructure ecosystem.
The active community engagement evident in posts like 'Deploying Azure Data Factory using Bicep' suggests a growing interest in integrating ADF with other Azure services, such as Bicep for infrastructure deployment. This engagement reflects confidence within the technical community regarding ADF's capabilities and its potential for innovative applications.
Azure Data Factory is widely regarded for its broad integration capabilities, flexible pricing model, and user-friendly design for ETL and ELT process construction. It retains a strong position against its competitors, providing a robust solution for data integration challenges. Although pricing complexity may pose challenges for larger-scale implementations, the overall sentiment is positive, with ADF recognized as a reliable tool in the evolving landscape of cloud-based data services.
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Is Azure Data Factory good? This is an informative page that will help you find out. Moreover, you can review and discuss Azure Data Factory here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
