pREST alternatives and similar packages
Based on the "Database" category.
Alternatively, view pREST alternatives based on common mentions on social networks and blogs.
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tidb
TiDB - the open-source, cloud-native, distributed SQL database designed for modern applications. -
Milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search -
cockroach
CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement. -
groupcache
groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases. -
TinyGo
Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM. -
bytebase
World's most advanced database DevSecOps solution for Developer, Security, DBA and Platform Engineering teams. The GitHub/GitLab for database DevSecOps. -
go-cache
An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications. -
immudb
immudb - immutable database based on zero trust, SQL/Key-Value/Document model, tamperproof, data change history -
buntdb
BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support -
xo
Command line tool to generate idiomatic Go code for SQL databases supporting PostgreSQL, MySQL, SQLite, Oracle, and Microsoft SQL Server -
nutsdb
A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set. -
lotusdb
Most advanced key-value database written in Go, extremely fast, compatible with LSM tree and B+ tree. -
gocraft/dbr (database records)
Additions to Go's database/sql for super fast performance and convenience.
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README
pREST
pREST (PostgreSQL REST), simplify and accelerate development, instant, realtime, high-performance on any Postgres application, existing or new
PostgreSQL version 9.4 or higher
Contributor License Agreement -
Problem
There is PostgREST written in Haskell, but keeping Haskell software in production is not an easy job. With this need pREST was born. Read more.
Test using Docker
To simplify the process of bringing up the test environment we will use docker-compose
# Download docker compose file
wget https://raw.githubusercontent.com/prest/prest/main/docker-compose-prod.yml -O docker-compose.yml
# Up (run) PostgreSQL and prestd
docker-compose up
# Run data migration to create user structure for access (JWT)
docker-compose exec prest prestd migrate up auth
# Create user and password for API access (via JWT)
## user: prest
## pass: prest
docker-compose exec postgres psql -d prest -U prest -c "INSERT INTO prest_users (name, username, password) VALUES ('pREST Full Name', 'prest', MD5('prest'))"
# Check if the user was created successfully (by doing a select on the table)
docker-compose exec postgres psql -d prest -U prest -c "select * from prest_users"
# Generate JWT Token with user and password created
curl -i -X POST http://127.0.0.1:3000/auth -H "Content-Type: application/json" -d '{"username": "prest", "password": "prest"}'
# Access endpoint using JWT Token
curl -i -X GET http://127.0.0.1:3000/prest/public/prest_users -H "Accept: application/json" -H "Authorization: Bearer {TOKEN}"
Want to contribute to the project and don't know where to start? See our contribution guide here.
1-Click Deploy
Heroku
Deploy to Heroku and instantly get a realtime RESTFul API backed by Heroku Postgres:
Documentation
https://docs.prestd.com/ (content source and template source)
*Note that all licence references and agreements mentioned in the pREST README section above
are relevant to that project's source code only.