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Airpal

Stacks19

Followers72

+ 1

Votes0

HeidiSQL

Stacks154

Followers306

+ 1

Votes6

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Airpal vs HeidiSQL: What are the differences?

Airpal: Web UI for PrestoDB, by Airbnb. A web-based query execution tool built on top of Facebook's PrestoDB; HeidiSQL: GUI client for MariaDB, MySQL, Microsoft SQL Server and PostgreSQL. HeidiSQL is a useful and reliable tool designed for web developers using the popular MariaDB or MySQL server, Microsoft SQL databases or PostgreSQL. It enables you to browse and edit data, create and edit tables, views, procedures, triggers and scheduled events. Also, you can export structure and data, either to SQL file, clipboard or to other servers. Read about features or see some screenshots.

Airpal and HeidiSQL belong to "Database Tools" category of the tech stack.

Airpal is an open source tool with 2.54K GitHub stars and 437 GitHub forks. Here's a link to Airpal's open source repository on GitHub.

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Pros of Airpal

Pros of HeidiSQL

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1
Client application which is lightweight
1
Easy configuration
1
Keep queries after execution
1
Connect to multiple servers on same client
1
Run multiple queries simultaneously
1
Multiple query tabulations

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Cons of Airpal

Cons of HeidiSQL

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Mac OS/ Linux incompatible

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What is Airpal?

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

What is HeidiSQL?

HeidiSQL is a useful and reliable tool designed for web developers using the popular MariaDB or MySQL server, Microsoft SQL databases or PostgreSQL. It enables you to browse and edit data, create and edit tables, views, procedures, triggers and scheduled events. Also, you can export structure and data, either to SQL file, clipboard or to other servers. Read about features or see some screenshots.

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What companies use Airpal?

What companies use HeidiSQL?

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What tools integrate with Airpal?

What tools integrate with HeidiSQL?

What are some alternatives to Airpal and HeidiSQL?

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.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

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Airpal vs HeidiSQL

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Pros of Airpal

Pros of HeidiSQL

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Cons of Airpal

Cons of HeidiSQL

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What is Airpal?

What is HeidiSQL?

Need advice about which tool to choose?Ask the StackShare community!

What companies use Airpal?

What companies use HeidiSQL?

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What tools integrate with Airpal?

What tools integrate with HeidiSQL?

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