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Gobblin
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Gobblin

Overview
Synopsis

Gobblin is a universal data ingestion framework for extracting, transforming, and loading large volume of data from a variety of data sources, such as databases, rest APIs, FTP/SFTP servers, filers, etc., onto Hadoop.

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Bigdata Ingestion Software

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Aggregated User Rating
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Ease of use
7.7
7.4
Features & Functionality
7.7
9.4
Advanced Features
7.7
6.6
Integration
7.7
7.5
Performance
7.7
7.8
Training
3.1
Customer Support
7.7
5.1
Implementation
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Bottom Line

Gobblin handles the common routine tasks required for all data ingestion ETLs, including job, task scheduling, task partitioning, error handling, state management, data quality checking, data publishing, etc

7.7
Editor Rating
6.7
Aggregated User Rating
6 ratings
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Gobblin is a universal data ingestion framework for extracting, transforming, and loading large volume of data from a variety of data sources, such as databases, rest APIs, FTP/SFTP servers, filers, etc., onto Hadoop. Gobblin handles the common routine tasks required for all data ingestion ETLs, including job, task scheduling, task partitioning, error handling, state management, data quality checking, data publishing, etc.Gobblin ingests data from different data sources in the same execution framework, and manages metadata of different sources all in one place. This, combined with other features such as auto scalability, fault tolerance, data quality assurance, extensibility, and the ability of handling data model evolution, makes Gobblin an easy-to-use, self-serving, and efficient data ingestion framework.

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Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
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