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4 Ratings
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Score 8.8 out of 100
24 Ratings
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Score 8.5 out of 100

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
Jordan Moore | TrustRadius Reviewer

Databricks Lakehouse Platform

Databricks has helped my teams write PySpark and Spark SQL jobs and test them out before formally integrating them in Spark jobs. Through Databricks we can create parquet and JSON output files. Datamodelers and scientists who are not very good with coding can get good insight into the data using the notebooks that can be developed by the engineers.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Apache Sqoop
Databricks Lakehouse Platform
8.3
Connect to Multiple Data Sources
Apache Sqoop
Databricks Lakehouse Platform
9.0
Extend Existing Data Sources
Apache Sqoop
Databricks Lakehouse Platform
9.0
Automatic Data Format Detection
Apache Sqoop
Databricks Lakehouse Platform
7.0

Data Exploration

Apache Sqoop
Databricks Lakehouse Platform
6.0
Visualization
Apache Sqoop
Databricks Lakehouse Platform
6.0
Interactive Data Analysis
Apache Sqoop
Databricks Lakehouse Platform
6.0

Data Preparation

Apache Sqoop
Databricks Lakehouse Platform
8.0
Interactive Data Cleaning and Enrichment
Apache Sqoop
Databricks Lakehouse Platform
8.0
Data Transformations
Apache Sqoop
Databricks Lakehouse Platform
9.0
Data Encryption
Apache Sqoop
Databricks Lakehouse Platform
7.0
Built-in Processors
Apache Sqoop
Databricks Lakehouse Platform
8.0

Platform Data Modeling

Apache Sqoop
Databricks Lakehouse Platform
8.3
Multiple Model Development Languages and Tools
Apache Sqoop
Databricks Lakehouse Platform
9.0
Automated Machine Learning
Apache Sqoop
Databricks Lakehouse Platform
8.0
Single platform for multiple model development
Apache Sqoop
Databricks Lakehouse Platform
9.0
Self-Service Model Delivery
Apache Sqoop
Databricks Lakehouse Platform
7.0

Model Deployment

Apache Sqoop
Databricks Lakehouse Platform
7.5
Flexible Model Publishing Options
Apache Sqoop
Databricks Lakehouse Platform
7.0
Security, Governance, and Cost Controls
Apache Sqoop
Databricks Lakehouse Platform
8.0

Pros

Apache Sqoop

  • 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
Jordan Moore | TrustRadius Reviewer

Databricks Lakehouse Platform

  • Extremely Flexible in Data Scenarios
  • Fantastic Performance
  • DB is always updating the system so we can have latest features.
Anonymous | TrustRadius Reviewer

Cons

Apache Sqoop

  • 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.
Jordan Moore | TrustRadius Reviewer

Databricks Lakehouse Platform

  • The navigation through which one would create a workspace is a bit confusing at first. It takes a couple minutes to figure out how to create a folder and upload files since it is not the same as traditional file systems such as box.com
  • Also, when you create a table, if you forgot to copy the link where the table is stored, it is hard to relocate it. Most of the time I would have to delete the table and re-created.
Ann Le | TrustRadius Reviewer

Usability

Apache Sqoop

No score
No answers yet
No answers on this topic

Databricks Lakehouse Platform

Databricks Lakehouse Platform 9.0
Based on 1 answer
This has been very useful in my organization for shared notebooks, integrated data pipeline automation and data sources integrations. Integration with AWS is seamless. Non tech users can easily learn how to use Databricks. You can have your company LDAP connect to it for login based access controls to some extent
Anonymous | TrustRadius Reviewer

Alternatives Considered

Apache Sqoop

  • 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.
Jordan Moore | TrustRadius Reviewer

Databricks Lakehouse Platform

Easier to set up and get started. Less of a learning curve.
Anonymous | TrustRadius Reviewer

Return on Investment

Apache Sqoop

  • 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.
Jordan Moore | TrustRadius Reviewer

Databricks Lakehouse Platform

  • Rapid growth of analytics within our company.
  • Cost model aligns with usage allowing us to make a reasonable initial investment and scale the cost as we realize the value.
  • Platform is easy to learn and Databricks provides excellent support and training.
  • Platform does not require a large DevOPs investment
Anonymous | TrustRadius Reviewer

Pricing Details

Apache Sqoop

General

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

Apache Sqoop Editions & Modules

Additional Pricing Details

Databricks Lakehouse Platform

General

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

Databricks Lakehouse Platform Editions & Modules

Edition
Standard$0.071
Premium$0.101
Enterprise$0.131
  1. Per DBU
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Apache Sqoop
9.0
Databricks Lakehouse Platform
8.9

Usability

Apache Sqoop
Databricks Lakehouse Platform
9.0

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