What is QueryPie?
It is the simplest way to work with Data Analytics & Visualization. It is a multi-database SQL IDE with a fresh design, optimized for Windows, Mac, and Linux. Developed with easy and intuitive UI/UX, it has collaborative features that allow users to safely work on data and use database tools that make writing SQL enjoyable. Share access information and set permission levels for extra security,
QueryPie is a tool in the Database Tools category of a tech stack.
MySQL, PostgreSQL, MariaDB, Amazon Redshift, and Google BigQuery are some of the popular tools that integrate with QueryPie. Here's a list of all 7 tools that integrate with QueryPie.
Why developers like QueryPie?
Here’s a list of reasons why companies and developers use QueryPie
Be the first to leave a pro
- SQL History
- SSL & SSH Tunneling
- Multi-Query and Grid
- Data Export/Import
- Powerful Object Search
- Intuitive UI & UX
- Quick data creation/modification/deletion
- Share and Visualize Data
QueryPie Alternatives & Comparisons
What are some alternatives to QueryPie?
See all alternatives
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 is a fast, easy-to-use Mac database management application for working with MySQL databases.
PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
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.
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.