What users are saying about

Apache Sqoop

4 Ratings
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Score 8.7 out of 101

Talend Data Integration

40 Ratings
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Score 7.9 out of 101

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Likelihood to Recommend

Apache Sqoop

Sqoop is great for sending data between a JDBC compliant database and a Hadoop environment. Sqoop is built for those who need a few simple CLI options to import a selection of database tables into Hadoop, do large dataset analysis that could not commonly be done with that database system due to resource constraints, then export the results back into that database (or another). Sqoop falls short when there needs to be some extra, customized processing between database extract, and Hadoop loading, in which case Apache Spark's JDBC utilities might be preferred
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Talend Data Integration

If your organisation or department works regularly with ETL jobs or sources data from multiple locations and needs to integrate them to provide for better data compatibility, then Talend Data Integration is a great tool and I would strongly recommend it. This mostly applies to established corporations, and not startups as the licensing fee is quite high.
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Feature Rating Comparison

Data Source Connection

Apache Sqoop
Talend Data Integration
8.1
Connect to traditional data sources
Apache Sqoop
Talend Data Integration
9.5
Connecto to Big Data and NoSQL
Apache Sqoop
Talend Data Integration
6.7

Data Transformations

Apache Sqoop
Talend Data Integration
9.2
Simple transformations
Apache Sqoop
Talend Data Integration
9.5
Complex transformations
Apache Sqoop
Talend Data Integration
9.0

Data Modeling

Apache Sqoop
Talend Data Integration
7.6
Data model creation
Apache Sqoop
Talend Data Integration
8.6
Metadata management
Apache Sqoop
Talend Data Integration
7.6
Business rules and workflow
Apache Sqoop
Talend Data Integration
9.0
Collaboration
Apache Sqoop
Talend Data Integration
5.7
Testing and debugging
Apache Sqoop
Talend Data Integration
7.1

Data Governance

Apache Sqoop
Talend Data Integration
8.8
Integration with data quality tools
Apache Sqoop
Talend Data Integration
9.5
Integration with MDM tools
Apache Sqoop
Talend Data Integration
8.1

Pros

  • Provides generalized JDBC extensions to migrate data between most database systems
  • Generates Java classes upon reading database records for use in other code utilizing Hadoop's client libraries
  • Allows for both import and export features
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  • Reading for multiple sources: Any modern Database, Files, WebServices, etc.
  • Monitoring and scheduling task dependencies for data loading purposes.
  • Really useful to design a Data Warehouse, thanks to its built in components for design patterns like SCD, etc.
  • It's also useful to publish data interfaces via WebServices or REST.
  • Good and high qualified support team.
  • Connecting to various databases from classic Relational (MSSQL, Oracle, MySQL, etc.) to No-SQL Databases.
  • Well documented.
  • Community which provides plugins, etc.
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Cons

  • Sqoop2 development seems to have stalled. I have set it up outside of a Cloudera CDH installation, and I actually prefer it's "Sqoop Server" model better than just the CLI client version that is Sqoop1. This works especially well in a microservices environment, where there would be only one place to maintain the JDBC drivers to use for Sqoop.
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  • Installation process of Integration Suite platform.
  • JAVA memory management. It's easy to get a memory overhead error, and you have to modify configuration files to increase memory manually.
  • Migration process.
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Support

No score
No answers yet
No answers on this topic
Talend Data Integration9.0
Based on 1 answer
Good support, specially when it relates to PROD environment. The support team has access to the product development team. Things are internally escalated to development team if there is a bug encountered. This helps the customer to get quick fix or patch designed for problem exceptions. I have also seen support showing their willingness to help develop custom connector for a newly available cloud based big data solution
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Alternatives Considered

  • Sqoop comes preinstalled on the major Hadoop vendor distributions as the recommended product to import data from relational databases. The ability to extend it with additional JDBC drivers makes it very flexible for the environment it is installed within.
  • Spark also has a useful JDBC reader, and can manipulate data in more ways than Sqoop, and also upload to many other systems than just Hadoop.
  • Kafka Connect JDBC is more for streaming database updates using tools such as Oracle GoldenGate or Debezium.
  • Streamsets and Apache NiFi both provide a more "flow based programming" approach to graphically laying out connectors between various systems, including JDBC and Hadoop.
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Compared to Microsoft SQL Server Integration Services (SSIS) talend gives developers much more tools and flexibility in order to achieve different ETL processes. For instance, SSIS, separates processing from data management, and Talend mixes both stages so that you can perform complex processes like iterating sub-jobs for each data row. It also provides a huge component list compared to SSIS which allows retrieving and saving data from many various sources. The administration part is also wider than what is offered from SSIS. In other words, SSIS is like a toy compared to Talend Integration's capabilities.When comparing Talend with Kettle (Pentaho) it's is easy to find similarities because they are both similar tools. In my experience, I'd rather [use] Talend because, in my opinion, it is more focused at data management. Kettle is a component provided from a wider BI tool, and Pentaho is not only focused at data management. I also found Talend gives better performance and manages connection sockets better than Kettle.
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Return on Investment

  • When combined with Cloudera's HUE, it can enable non-technical users to easily import relational data into Hadoop.
  • Being able to manipulate large datasets in Hadoop, and them load them into a type of "materialized view" in an external database system has yielded great insights into the Hadoop datalake without continuously running large batch jobs.
  • Sqoop isn't very user-friendly for those uncomfortable with a CLI.
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  • Easy to build complex data transformations.
  • Licensing model isn't that flexible.
  • Memory mangement for huge volumes of information. You have to modify ETL designs to handle it properly.
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Pricing Details

Apache Sqoop

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Talend Data Integration

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details