Apache Sqoop vs. Talend Data Integration

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Sqoop
Score 8.8 out of 10
N/A
Apache Sqoop is a tool for use with Hadoop, used to transfer data between Apache Hadoop and other, structured data stores.N/A
Talend Data Integration
Score 8.2 out of 10
N/A
The Talend Integration Suite, from Talend, is a set of tools for data integration.N/A
Pricing
Apache SqoopTalend Data Integration
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache SqoopTalend Data Integration
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Apache SqoopTalend Data Integration
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Apache Sqoop
-
Ratings
Talend Data Integration
8.2
9 Ratings
1% below category average
Connect to traditional data sources00 Ratings8.99 Ratings
Connecto to Big Data and NoSQL00 Ratings7.68 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Apache Sqoop
-
Ratings
Talend Data Integration
8.9
9 Ratings
6% above category average
Simple transformations00 Ratings8.99 Ratings
Complex transformations00 Ratings8.99 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Apache Sqoop
-
Ratings
Talend Data Integration
7.8
9 Ratings
3% below category average
Data model creation00 Ratings7.28 Ratings
Metadata management00 Ratings8.08 Ratings
Business rules and workflow00 Ratings8.87 Ratings
Collaboration00 Ratings5.48 Ratings
Testing and debugging00 Ratings8.89 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Apache Sqoop
-
Ratings
Talend Data Integration
7.8
8 Ratings
5% below category average
Integration with data quality tools00 Ratings7.68 Ratings
Integration with MDM tools00 Ratings8.08 Ratings
Best Alternatives
Apache SqoopTalend Data Integration
Small Businesses

No answers on this topic

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Score 9.5 out of 10
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Score 9.7 out of 10
InfoSphere
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Score 10.0 out of 10
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Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache SqoopTalend Data Integration
Likelihood to Recommend
9.0
(1 ratings)
8.3
(18 ratings)
Usability
-
(0 ratings)
9.0
(1 ratings)
Support Rating
-
(0 ratings)
6.6
(8 ratings)
User Testimonials
Apache SqoopTalend Data Integration
Likelihood to Recommend
Apache
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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Qlik
The same way you design data integration job can be used to design services. It is easy to enhance by custom components and can adapt to all requirements. Talend Data Integration connects to [a] multitude of data sources and streaming service. Very easy interface to design complex applications without spending much time on coding. Easy to learn and master. Talend constantly strives to better itself by adding more features and functionalities.
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Pros
Apache
  • 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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Qlik
  • We used Talend to ETLing the data from myriad sources such Oracle Database, Clarify, Salesforce, Sugar CRM, SQL DB, MQ, Stibo Step, FTP, Netezza, and Files.
  • We leverage Talend transformation capabilities for stitching the data , unions and join
  • We successfully created the final unified set that can be used by business
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Cons
Apache
  • 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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Qlik
  • Pricing for sure can be the area for improvement.
  • Real time processing is slow as compared to other tools like Abinitio.
  • While developing batches, it crashes a lot. It may be the issue with me, but I wanted to highlight it.
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Usability
Apache
No answers on this topic
Qlik
We use Talend Data Integration day in and day out. It is the best and easiest tool to jump on to and use. We can build a basic integration super-fast. We could build basic integrations as fast as within the hour. It is also easy to build transformations and use Java to perform some operations.
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Support Rating
Apache
No answers on this topic
Qlik
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
Apache
  • 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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Qlik
In comparison with the other ETLs I used, Talend is more flexible than Data Services (where you cannot create complex commands). It is similar to Datastage speaking about commands and interfaces. It is more user-friendly than ODI, which has a metadata point of view on its own, while Talend is more classic. It has both on-prem and cloud approaches, while Matillion is only cloud-based.
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Return on Investment
Apache
  • 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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Qlik
  • It’s only been a positive RoI with Talend given we’ve interfaced large datasets between critical on-Prem and cloud-native apps to efficiently run our business operations.
  • 40K+ plots data, covering 1K+ crop varieties.
  • 3K+ Customer & their credit data, 3K+ product inventory & pricing.
Read full review
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