Airpal

17
63
+ 1
0
Spring Data

274
193
+ 1
0
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Airpal vs Spring Data: What are the differences?

Developers describe Airpal as "Web UI for PrestoDB, by Airbnb". A web-based query execution tool built on top of Facebook's PrestoDB. On the other hand, Spring Data is detailed as "Provides a consistent approach to data access – relational, non-relational, map-reduce, and beyond". 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.

Airpal and Spring Data can be categorized as "Database" tools.

Some of the features offered by Airpal are:

  • Optional Access Control
  • Syntax highlighting
  • Results exported to a CSV for download or a Hive table

On the other hand, Spring Data provides the following key features:

  • Powerful repository
  • Custom object-mapping abstractions
  • Dynamic query derivation

Airpal and Spring Data are both open source tools. It seems that Airpal with 2.54K GitHub stars and 437 forks on GitHub has more adoption than Spring Data with 56 GitHub stars and 62 GitHub forks.

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What is Airpal?

A web-based query execution tool built on top of Facebook's PrestoDB.

What is 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.
What companies use Airpal?
What companies use Spring Data?

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What tools integrate with Airpal?
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What are some alternatives to Airpal and Spring Data?
Superset
Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.
Hue
It is open source and lets regular users import their big data, query it, search it, visualize it and build dashboards on top of it, all from their browser.
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.
Sequel Pro
Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
Microsoft SQL Server Management Studio
It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
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Interest over time