DBngin vs PostGIS

Overview

PostGIS

Stacks379

Followers377

Votes30

GitHub Stars2.0K

Forks407

DBngin

Stacks7

Followers34

Votes0

DBngin vs PostGIS: What are the differences?

Architecture: DBngin is a lightweight and user-friendly database management tool that focuses on simplicity and ease of use, providing a graphical interface for managing databases. PostGIS, on the other hand, is a spatial database extender for PostgreSQL that adds support for geographic objects, allowing users to store and query geographic information efficiently.
Functionality: DBngin primarily focuses on simplifying database management tasks such as creating, starting, and stopping databases quickly and easily, while PostGIS enhances PostgreSQL with spatial database capabilities, enabling users to perform spatial queries, analysis, and visualization of geographic data.
Use Cases: DBngin is suitable for developers and individuals who require a straightforward tool for managing databases without the need for extensive database administration knowledge, while PostGIS is geared towards users working with geographical data who need advanced spatial analysis capabilities within their database system.
Scalability: DBngin is designed for small to medium-scale database management tasks and may not be suitable for large-scale or complex database environments, whereas PostGIS is capable of handling large volumes of spatial data and is commonly used in applications that involve complex geospatial analysis and visualization.
Community Support: DBngin has a smaller user base and community support compared to PostGIS, which has a larger and more active community of users and developers contributing to the ongoing development and improvement of the spatial database extension.
Extensions and Plugins: DBngin does not support the integration of extensions or plugins for advanced database functionalities beyond what is provided in the tool itself, while PostGIS allows users to extend the functionality of the spatial database with a variety of plugins and extensions tailored to specific spatial data processing requirements.

In Summary, DBngin simplifies general database management tasks with a user-friendly interface, while PostGIS enhances PostgreSQL with advanced spatial database capabilities for geographic data processing.

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Manual

Detailed Comparison

PostGIS	DBngin
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.	The easiest way to get started with PostgreSQL, MySQL, Redis & more. Install & manage multiple local database servers of various versions within a click.
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	- Lightweight; - Create a local server with a click, no dependency.; - Manage multiple database servers with multiple versions and ports.; - Currently supports PostgreSQL, MySQL, and Redis; - It's free, 100%
Statistics
GitHub Stars 2.0K	GitHub Stars -
GitHub Forks 407	GitHub Forks -
Stacks 379	Stacks 7
Followers 377	Followers 34
Votes 30	Votes 0
Pros & Cons
Pros 25 De facto GIS in SQL 5 Good Documentation	No community feedback yet
Integrations
PostgreSQL	Redis PostgreSQL MySQL

What are some alternatives to PostGIS, DBngin?

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

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

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

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

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

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 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

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.

Related Comparisons

DBngin vs PostGIS: What are the differences?

Architecture: DBngin is a lightweight and user-friendly database management tool that focuses on simplicity and ease of use, providing a graphical interface for managing databases. PostGIS, on the other hand, is a spatial database extender for PostgreSQL that adds support for geographic objects, allowing users to store and query geographic information efficiently.
Functionality: DBngin primarily focuses on simplifying database management tasks such as creating, starting, and stopping databases quickly and easily, while PostGIS enhances PostgreSQL with spatial database capabilities, enabling users to perform spatial queries, analysis, and visualization of geographic data.
Use Cases: DBngin is suitable for developers and individuals who require a straightforward tool for managing databases without the need for extensive database administration knowledge, while PostGIS is geared towards users working with geographical data who need advanced spatial analysis capabilities within their database system.
Scalability: DBngin is designed for small to medium-scale database management tasks and may not be suitable for large-scale or complex database environments, whereas PostGIS is capable of handling large volumes of spatial data and is commonly used in applications that involve complex geospatial analysis and visualization.
Community Support: DBngin has a smaller user base and community support compared to PostGIS, which has a larger and more active community of users and developers contributing to the ongoing development and improvement of the spatial database extension.
Extensions and Plugins: DBngin does not support the integration of extensions or plugins for advanced database functionalities beyond what is provided in the tool itself, while PostGIS allows users to extend the functionality of the spatial database with a variety of plugins and extensions tailored to specific spatial data processing requirements.

DBngin vs PostGIS

Overview