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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. PostGIS vs QueryPie

PostGIS vs QueryPie

OverviewComparisonAlternatives

Overview

PostGIS
PostGIS
Stacks379
Followers377
Votes30
GitHub Stars2.0K
Forks407
QueryPie
QueryPie
Stacks6
Followers8
Votes0

PostGIS vs QueryPie: What are the differences?

  1. Spatial Data Handling: PostGIS is an extension of PostgreSQL that adds spatial data types and functions while QueryPie is a cloud-based SQL editor and data collaboration tool without specific spatial data handling capabilities.
  2. Advanced Spatial Functions: PostGIS provides a wide range of advanced spatial functions for querying and analyzing geographic information, such as distance calculation, spatial joins, and geometry manipulations, which are not available in QueryPie.
  3. Database Management System Integration: PostGIS is designed to seamlessly integrate with PostgreSQL, offering a powerful combination for managing spatial data within a traditional database system, whereas QueryPie is more focused on providing a user-friendly interface for working with SQL databases.
  4. Third-Party Tool Support: PostGIS is well-supported by various GIS software and tools that leverage its spatial capabilities, allowing for seamless interoperability with other systems, while QueryPie may not have as robust support for third-party tools due to its focus on SQL editing and collaboration features.
  5. Community and Documentation: PostGIS has a dedicated community of users and developers, providing extensive documentation, tutorials, and forums for support and collaboration, whereas QueryPie may have a smaller community and documentation resources available.
  6. Scalability and Performance: PostGIS is optimized for handling large-scale spatial data and executing complex spatial queries efficiently, making it suitable for applications with heavy spatial data processing requirements, whereas QueryPie may not offer the same level of scalability and performance for spatial data operations.

In Summary, the key differences between PostGIS and QueryPie lie in their spatial data handling capabilities, advanced spatial functions, integration with database management systems, third-party tool support, community resources, and scalability/performance for spatial data operations.

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Detailed Comparison

PostGIS
PostGIS
QueryPie
QueryPie

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.

QueryPie is a centralized platform to manage scattered data sources and security policies all in one place without changing the existing data environment.

Processing and analytic functions for both vector and raster data for splicing, dicing, morphing, reclassifying, and collecting/unioning with the power of SQL;raster map algebra for fine-grained raster processing;Spatial reprojection SQL callable functions for both vector and raster data;Support for importing / exporting ESRI shapefile vector data via both commandline and GUI packaged tools and support for more formats via other 3rd-party Open Source tools
Access Control; Auditing; Reporting; SQL Editor; Data Masking; Approval Workflow
Statistics
GitHub Stars
2.0K
GitHub Stars
-
GitHub Forks
407
GitHub Forks
-
Stacks
379
Stacks
6
Followers
377
Followers
8
Votes
30
Votes
0
Pros & Cons
Pros
  • 25
    De facto GIS in SQL
  • 5
    Good Documentation
No community feedback yet
Integrations
PostgreSQL
PostgreSQL
HBase
HBase
Presto
Presto
Apache Hive
Apache Hive
Amazon DynamoDB
Amazon DynamoDB
MariaDB
MariaDB
Okta
Okta
Snowflake
Snowflake
OneLogin
OneLogin
Google BigQuery
Google BigQuery
SAP HANA
SAP HANA

What are some alternatives to PostGIS, QueryPie?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

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.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Flyway

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

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