4 Ratings
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Score 8.7 out of 101
46 Ratings
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Score 8.2 out of 101

Add comparison

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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Informatica Enterprise Data Integration

The tool should satisfy these criteria:
  • Extraction of the data from legacy sources (usually heterogenous)
  • Data transformation (data optimized for transaction --> data optimized for analysis)
  • Synchronization and cleansing of the data
  • Loading the data into data warehouse.
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Feature Rating Comparison

Data Source Connection

Apache Sqoop
Informatica Enterprise Data Integration
9.5
Connect to traditional data sources
Apache Sqoop
Informatica Enterprise Data Integration
10.0
Connecto to Big Data and NoSQL
Apache Sqoop
Informatica Enterprise Data Integration
9.0

Data Transformations

Apache Sqoop
Informatica Enterprise Data Integration
9.5
Simple transformations
Apache Sqoop
Informatica Enterprise Data Integration
10.0
Complex transformations
Apache Sqoop
Informatica Enterprise Data Integration
9.0

Data Modeling

Apache Sqoop
Informatica Enterprise Data Integration
8.1
Data model creation
Apache Sqoop
Informatica Enterprise Data Integration
8.5
Metadata management
Apache Sqoop
Informatica Enterprise Data Integration
8.8
Business rules and workflow
Apache Sqoop
Informatica Enterprise Data Integration
7.6
Collaboration
Apache Sqoop
Informatica Enterprise Data Integration
7.5
Testing and debugging
Apache Sqoop
Informatica Enterprise Data Integration
8.1

Data Governance

Apache Sqoop
Informatica Enterprise Data Integration
8.0
Integration with data quality tools
Apache Sqoop
Informatica Enterprise Data Integration
8.2
Integration with MDM tools
Apache Sqoop
Informatica Enterprise Data Integration
7.8

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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  • Informatica is a complex, full-featured data integration tool. We use Informatica primarily to extract data from our ERP systems, transform, and load it into operational and dimensional data stores.
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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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  • We have found that upgrading from version to version can be a bit clunky and complex.
  • Watch out for their audit department. They will hunt down development environments that are in use and try to back charge you for their repositories. Ensure your development environments are properly licensed.
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Likelihood to Renew

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Informatica Enterprise Data Integration8.9
Based on 3 answers
Our team enjoys using Informatica and feels that it is one of the best ETL tools on the market.
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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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While Talend offers a much more comfortable interface to work with, Informatica's forte is performance. And on that front, Informatica Enterprise Data Integration certainly leaves Talend in the dust. For a more back-end-centric use case, Informatica is certainly the ETL tool of choice. On the other hand, if business users would be using the tool, then Talend would be the preferred tool.
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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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  • Informatica tool set investment overall meets my company's business needs since it ensures our daily business data movements and integrations smoothly.
  • But the maintenance cost and license per CPU model may be a little expensive for small companies.
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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

Informatica Enterprise Data Integration

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
Additional Pricing Details