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Apache Sqoop description
Apache Sqoop is a free and open-source tool specifically designed for moving large amounts of data between your company's data warehouse and Apache Hadoop, a powerful system designed for storing and analyzing very large datasets. Sqoop excels at efficiently transferring information in and out of Hadoop, regardless of whether your data is structured or unstructured. This makes it an ideal choice for businesses looking to utilize big data analytics.
Who is Apache Sqoop best for
Apache Sqoop helps large companies move massive datasets between their data warehouses and Apache Hadoop. Users praise its simple interface, fast data transfers, and seamless integration with relational databases. However, some have noted performance issues with complex queries and a lack of pause/resume functionality. Ideal for tech companies needing efficient big data management.
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Ideal for medium to large enterprises (101+ employees), especially in the technology sector.
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Best fit for software, IT, and telecommunications companies dealing with big data.
Apache Sqoop features
Supported Sqoop is designed for efficiently transferring large amounts of data between data warehouses and Hadoop. |
Supported Sqoop supports transferring both structured and unstructured data. |
Supported Sqoop is specifically designed for moving large amounts of data. |
Supported Sqoop is a free and open-source tool. |
Apache Sqoop reviews
We've summarised 31 Apache Sqoop reviews (Apache Sqoop G2 reviews) and summarised the main points below.
- Simple and easy-to-use command-line interface for data transfer.
- Fast and efficient parallel data transfer capabilities.
- Seamless integration with various relational databases (Oracle, PostgreSQL, MySQL).
- Useful incremental import feature for efficient data updates.
- Supports various data formats like Avro.
- Performance issues when handling complex queries or multiple joins, impacting other applications using the same database.
- Partial import/export failures require specific handling and can be disruptive.
- Lack of a pause/resume feature necessitates restarting large jobs from the beginning.
- Limited to structured data and relational databases; no support for NoSQL databases or unstructured data.
- Underlying MapReduce framework can be slow for smaller data transfers.
Apache Sqoop alternatives
Azure Data FactoryVisually automates data movement and transformation across many sources.Read more
Hadoop HDFSDistributed storage for massive datasets, ensuring reliability and scalability.Read more
Apache Sqoop FAQ
Apache Sqoop is an open-source tool designed for efficiently transferring large datasets between Apache Hadoop and relational databases. It supports both structured and unstructured data, enabling seamless data exchange for big data analytics. Sqoop simplifies data ingestion and extraction, making Hadoop data accessible for various applications.
What is Apache Sqoop and what does Apache Sqoop do?
Apache Sqoop is an open-source tool designed for efficiently transferring large datasets between Apache Hadoop and relational databases. It supports both structured and unstructured data, enabling seamless data exchange for big data analytics. Sqoop simplifies data ingestion and extraction, making Hadoop data accessible for various applications.
Apache Sqoop integrates seamlessly with relational databases like MySQL, PostgreSQL, and Oracle. It leverages Hadoop's distributed processing capabilities for efficient large-scale data transfers, and supports various data formats, including Avro, for broader compatibility.
How does Apache Sqoop integrate with other tools?
Apache Sqoop integrates seamlessly with relational databases like MySQL, PostgreSQL, and Oracle. It leverages Hadoop's distributed processing capabilities for efficient large-scale data transfers, and supports various data formats, including Avro, for broader compatibility.
Alternatives to Apache Sqoop include Weld, Oracle Big Data SQL Cloud Service, Hadoop HDFS, Polytomic, and StreamSets. These tools offer various data integration and transfer capabilities for different data environments and business needs.
What the main competitors of Apache Sqoop?
Alternatives to Apache Sqoop include Weld, Oracle Big Data SQL Cloud Service, Hadoop HDFS, Polytomic, and StreamSets. These tools offer various data integration and transfer capabilities for different data environments and business needs.
Yes, Apache Sqoop is a legitimate open-source tool for data transfer between data warehouses and Hadoop. It's known for its simple interface and efficient handling of large datasets, though some users report performance issues with complex queries. Sqoop is a safe and reliable choice for large-scale data transfers.
Is Apache Sqoop legit?
Yes, Apache Sqoop is a legitimate open-source tool for data transfer between data warehouses and Hadoop. It's known for its simple interface and efficient handling of large datasets, though some users report performance issues with complex queries. Sqoop is a safe and reliable choice for large-scale data transfers.
Apache Sqoop is an open-source tool, meaning it's free to download and use. There are no licensing fees or subscription costs. However, you may incur costs associated with the infrastructure required to run it.
How much does Apache Sqoop cost?
Apache Sqoop is an open-source tool, meaning it's free to download and use. There are no licensing fees or subscription costs. However, you may incur costs associated with the infrastructure required to run it.
There is no information available about Apache Sqoop's customer service. However, users appreciate its simple interface, fast data transfer, and seamless integration with various databases. Some have reported performance issues with complex queries.
Is Apache Sqoop customer service good?
There is no information available about Apache Sqoop's customer service. However, users appreciate its simple interface, fast data transfer, and seamless integration with various databases. Some have reported performance issues with complex queries.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.