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pgcli vs PostGIS: What are the differences?
What is pgcli? Postgres CLI with autocompletion and syntax highlighting. This is a postgres client that does auto-completion and syntax highlighting.
What is PostGIS? Open source spatial database. 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.
pgcli and PostGIS can be categorized as "Database" tools.
Some of the features offered by pgcli are:
- Auto-completion as you type for SQL keywords as well as tables and columns in the database.
- Syntax highlighting using Pygments.
- Smart-completion (enabled by default) will suggest context-sensitive completion.
On the other hand, PostGIS provides the following key features:
- 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
pgcli and PostGIS are both open source tools. pgcli with 8.01K GitHub stars and 365 forks on GitHub appears to be more popular than PostGIS with 645 GitHub stars and 246 GitHub forks.
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Pros of PostGIS
- De facto GIS in SQL25
- Good Documentation5
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What is pgcli?
This is a postgres client that does auto-completion and syntax highlighting.
What is PostGIS?
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.
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What companies use pgcli?
What companies use PostGIS?
What companies use pgcli?
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What tools integrate with pgcli?
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What are some alternatives to pgcli and PostGIS?
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.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web