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PostgREST vs PSequel: What are the differences?
PostgREST: Automatic REST API for Any Postgres Database. PostgREST serves a fully RESTful API from any existing PostgreSQL database. It provides a cleaner, more standards-compliant, faster API than you are likely to write from scratch; PSequel: A free PostgreSQL GUI Tool for Mac OS X. Designed for Yosemite. Written in Swift. PSequel provides a clean and simple interface to perform common PostgreSQL tasks quickly.
PostgREST and PSequel belong to "Database Tools" category of the tech stack.
PostgREST is an open source tool with 12.5K GitHub stars and 585 GitHub forks. Here's a link to PostgREST's open source repository on GitHub.
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Learn MorePros of PostgREST
Pros of PSequel
Pros of PostgREST
- Fast, simple, powerful REST APIs from vanilla Postgres4
- JWT authentication2
- Very fast1
- Declarative role based security at the data layer1
Pros of PSequel
- Free3
- Simplest Postgres client3
- Doesn't try to upsell you with premium features3
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Cons of PostgREST
Cons of PSequel
Cons of PostgREST
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Cons of PSequel
- No CSV export2
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What is PostgREST?
PostgREST serves a fully RESTful API from any existing PostgreSQL database. It provides a cleaner, more standards-compliant, faster API than you are likely to write from scratch.
What is PSequel?
Designed for Yosemite. Written in Swift. PSequel provides a clean and simple interface to perform common PostgreSQL tasks quickly.
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What companies use PostgREST?
What companies use PSequel?
What companies use PostgREST?
What companies use PSequel?
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What tools integrate with PostgREST?
What tools integrate with PSequel?
What tools integrate with PostgREST?
What tools integrate with PSequel?
No integrations found
What are some alternatives to PostgREST and PSequel?
GraphQL
GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
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.