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Cloudsfer VS Azure Data Factory

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

Cloudsfer logo Cloudsfer

Cloud management for migrating and backing up files

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.
  • Cloudsfer Landing page
    Landing page //
    2023-09-19
  • Azure Data Factory Landing page
    Landing page //
    2023-01-12

Cloudsfer features and specs

  • Ease of Use
    Cloudsfer offers a user-friendly interface that makes it easy to transfer and backup data across various cloud services without needing extensive technical knowledge.
  • Support for Multiple Cloud Services
    Cloudsfer supports a wide range of cloud services like Google Drive, Dropbox, OneDrive, Box, and more, making it versatile for different user needs.
  • Data Migration Flexibility
    It provides flexibility in migrating data across different cloud environments, including both personal and enterprise cloud accounts.
  • Secure Transfers
    The platform emphasizes secure data transfers, utilizing encryption and secure protocols to protect user data during migration.
  • Free Migration Option
    Cloudsfer offers a free migration option with limited features, allowing users to try the service before committing to a paid plan.

Possible disadvantages of Cloudsfer

  • Limited Free Plan
    The free plan offered by Cloudsfer is limited in terms of features and data transfer limits, which may not be sufficient for larger migrations.
  • Cost for Premium Features
    To access advanced features and larger data transfer quotas, users need to subscribe to paid plans, which can be an additional expense.
  • Occasional Sync Delays
    Some users have reported occasional delays in data synchronization or migration, which can be a downside for time-sensitive operations.
  • Dependency on Internet Speed
    The efficiency of data migration is highly dependent on the user's internet speed, which may affect transfer times, especially for large files.
  • Potential Learning Curve for Enterprises
    While user-friendly, larger enterprises with complex migration needs might encounter a learning curve when initially setting up the service.

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.

Cloudsfer videos

File system to cloud migration - Cloudsfer Webinar - On premise ECM systems to any cloud storage

More videos:

  • Review - Cloudsfer - Cloud Backup & Migration Tool - Step by Step Guide

Azure Data Factory videos

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 Cloudsfer and Azure Data Factory)
Cloud Storage
100 100%
0% 0
Data Integration
14 14%
86% 86
Web Service Automation
37 37%
63% 63
ETL
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Cloudsfer and Azure Data Factory

Cloudsfer Reviews

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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.
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.

Social recommendations and mentions

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

Cloudsfer mentions (1)

  • Google Photos migration tool
    I have tried multcloud.com, cloudsfer.com end some minor ones. None of these are accurate IMHO. They are not able to move all contents leaving me with an issue to check hundreds of items. Also they do not provide a simple feature: move ALL from A to B, period. I do have loose photos and many Albums I would like to preserve. Sadly, Google Drive desktop client is not able to create Albums based on directories. Source: over 3 years ago

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 / about 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: about 4 years ago

What are some alternatives?

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

Carbonite - Unlimited online backup for one flat fee. Free trial, no credit card required.

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”.

odrive - odrive aggregates all cloud storage. Access, sync, share, and encrypt everything in one place. Integrations to 20+ storage services, desktop sync, Linux support, placeholder files, zero-knowledge-encryption, web client, advanced sharing, and more!

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.

MultCloud - Multiple Cloud Storage Manager: Migrate, move, sync, copy, backup and transfer cloud files with MultCloud, which supports Dropbox, Box, Google Drive, Mega, OneDrive and FTP, etc.

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.