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Cloudsfer VS Apache Sqoop

Compare Cloudsfer VS Apache Sqoop and see what are their differences

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

Cloudsfer logo Cloudsfer

Cloud management for migrating and backing up files

Apache Sqoop logo Apache Sqoop

Sqoop is a command-line interface application for transferring data between relational databases and Hadoop.
  • Cloudsfer Landing page
    Landing page //
    2023-09-19
  • Apache Sqoop Landing page
    Landing page //
    2021-10-21

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.

Apache Sqoop features and specs

  • Efficient Data Transfer
    Apache Sqoop is specifically designed to facilitate the efficient transfer of bulk data between Hadoop and relational databases, leveraging parallel processing to enhance performance.
  • Seamless Integration with Hadoop Ecosystem
    Sqoop integrates seamlessly with the Hadoop ecosystem, including HDFS, Hive, and HBase, enabling users to load data directly into these systems for further processing and analysis.
  • Support for Multiple Databases
    It supports a wide range of relational databases, such as MySQL, PostgreSQL, Oracle, and Microsoft SQL Server, providing flexibility in terms of source data systems.
  • Command Line Interface (CLI)
    Sqoop provides a straightforward CLI that allows users to perform data transfers through simple commands, making it accessible for users familiar with command-line operations.
  • Incremental Load Capabilities
    Sqoop supports incremental data loading, which enables the transfer of only the changed portions of data, thereby optimizing network and processing resources.

Possible disadvantages of Apache Sqoop

  • Limited Performance Tuning Options
    Although efficient for bulk data transfer, Sqoop provides limited options for performance tuning, which can be a drawback for optimizing specific use cases or large-scale data transfers.
  • Dependency on JDBC Drivers
    Sqoop relies on JDBC drivers to connect to relational databases, which can introduce additional setup complexity and potential compatibility issues.
  • Complex Error Handling
    Error handling in Sqoop is not very intuitive, and debugging issues can become complex, particularly for users who are not experienced in working with Hadoop or relational databases.
  • Steep Learning Curve for Beginners
    New users might find the learning curve for Sqoop steep due to its reliance on knowledge of both Hadoop ecosystem tools and relational database concepts.
  • Limited Functionality for Non-Hadoop Tasks
    Sqoop is highly specialized for Hadoop-related data ingestion tasks and does not offer extensive functionality for other types of ETL or data processing tasks outside the Hadoop ecosystem.

Cloudsfer videos

+ Add

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

Apache Sqoop videos

+ Add

Apache Sqoop Tutorial | Sqoop: Import & Export Data From MySQL To HDFS | Hadoop Training | Edureka

More videos:

  • Tutorial - Apache Sqoop Tutorial -Importing and Exporting Data
  • Review - 15 Apache Sqoop - Sqoop Import - Incremental loads

Category Popularity

0-100% (relative to Cloudsfer and Apache Sqoop)

Cloudsfer

Apache Sqoop

Cloud Storage
100 100%
Cloud Storage
0% 0
Data Integration
29 29%
Data Integration
71% 71
Web Service Automation
100 100%
Web Service Automation
0% 0
ETL
0 0%
ETL
100% 100

User comments

Share your experience with using Cloudsfer and Apache Sqoop. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apache Sqoop should be more popular than Cloudsfer. It has been mentiond 2 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

Apache Sqoop mentions (2)

  • do i need to learn java to write commands in sqoop ?
    I had never heard of Sqoop and looking at its page sqoop.apache.org, it seems to be legacy. Source: almost 3 years ago
  • Jinja2 not formatting my text correctly. Any advice?
    ListItem(name='Apache Sqoop', website='https://sqoop.apache.org/', category='Data Transfer Tools', short_description='Sqoop is a command-line interface application for transferring data between relational databases and Hadoop. The Apache Sqoop project was retired in June 2021 and moved to the Apache Attic.'),. Source: over 3 years ago

What are some alternatives?

When comparing Cloudsfer and Apache Sqoop, you can also consider the following products

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

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.

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!

Talend Big Data Platform - Talend Big Data Platform is a data integration and data quality platform built on Spark for cloud and on-premises.

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.

Apache NiFi - An easy to use, powerful, and reliable system to process and distribute data.

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