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Export To CRM VS Apache Sqoop

Compare Export To CRM VS Apache Sqoop and see what are their differences

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  3. » Reviews
  4. » Alternatives

Export To CRM logo Export To CRM

Export LinkedIn profiles to new contacts or leads in your CRM.

Apache Sqoop logo Apache Sqoop

Sqoop is a command-line interface application for transferring data between relational databases and Hadoop.
  • Export To CRM Landing page
    Landing page //
    2019-09-28
  • Apache Sqoop Landing page
    Landing page //
    2021-10-21

Export To CRM features and specs

  • Ease of Use
    Export To CRM is designed to be user-friendly, making it simple for users to export data to their CRM systems without extensive technical knowledge.
  • Integration Capabilities
    The platform offers seamless integration with a variety of CRM systems, allowing users to efficiently manage their customer data in one unified location.
  • Time Efficiency
    By automating the export process, Export To CRM saves users significant time compared to manual data entry, enabling them to focus on more strategic tasks.

Possible disadvantages of Export To CRM

  • Cost
    Depending on the pricing model, using Export To CRM may incur costs that could be a consideration for smaller businesses or individual users.
  • Learning Curve
    While it is generally user-friendly, some users might experience a learning curve initially, especially if they are not familiar with integrating third-party tools with their CRM.
  • Limited Customization
    Some users may find the options for customizing export processes to be limited, which could affect the tool’s flexibility for complex workflows.

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.

Export To CRM videos

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Apache Sqoop videos

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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 Export To CRM and Apache Sqoop)

Export To CRM

Apache Sqoop

ETL
44 44%
ETL
56% 56
Data Integration
37 37%
Data Integration
63% 63
Data Workflow
52 52%
Data Workflow
48% 48
Data Pipelines
58 58%
Data Pipelines
42% 42

User comments

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Social recommendations and mentions

Based on our record, Apache Sqoop seems to be more popular. 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.

Export To CRM mentions (0)

We have not tracked any mentions of Export To CRM yet. Tracking of Export To CRM recommendations started around Mar 2021.

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: about 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: almost 4 years ago

What are some alternatives?

When comparing Export To CRM and Apache Sqoop, you can also consider the following products

SFXOrgData - SFXOrgData copies data between Production and Sandbox environments.

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.

Mover - Mover is a platform for moving files, streamlines the process of transferring users' data to the cloud.

IBM DataStage - Extract, transfer and load ETL data across multiple systems, with support forextended metadata management and big data enterprise connectivity.

WANdisco Fusion Platform - WANdisco Fusion is a data replication product for Hadoop.

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

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