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Slick vs Sqoop

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Slick
9.2K
1.2K
+ 1
0
Sqoop
45
55
+ 1
0
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Sqoop vs Slick: What are the differences?

Developers describe Sqoop as "A tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores". It is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases of The Apache Software Foundation. On the other hand, Slick is detailed as "Database query and access library for Scala". It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.

Sqoop and Slick can be categorized as "Database" tools.

Slick is an open source tool with 2.27K GitHub stars and 542 GitHub forks. Here's a link to Slick's open source repository on GitHub.

According to the StackShare community, Slick has a broader approval, being mentioned in 7789 company stacks & 4 developers stacks; compared to Sqoop, which is listed in 9 company stacks and 6 developer stacks.

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- No public GitHub repository available -

What is Slick?

It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.

What is Sqoop?

It is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases of The Apache Software Foundation

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What companies use Slick?
What companies use Sqoop?
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What tools integrate with Slick?
What tools integrate with Sqoop?
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    What are some alternatives to Slick and Sqoop?
    Quill
    It is messaging for teams that focus. Designed from the ground up to make you more productive. Everything in Quill is a thread. Focus on a topic, make decisions, and stay in flow. Choose the conversations you care about and safely filter everything else, knowing that you’re not missing out.
    Spring Data
    It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
    Dataform
    Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.
    DB
    With DB you can very easily save, restore, and archive snapshots of your database from the command line. It supports connecting to different database servers (for example a local development server and a staging or production server) and allows you to load a database dump from one environment into another environment.
    Liquibase
    Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.
    See all alternatives

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