go-mysql VS pREST

Compare go-mysql vs pREST and see what are their differences.

go-mysql

a powerful mysql toolset with Go (by siddontang)

pREST

PostgreSQL ➕ REST, low-code, simplify and accelerate development, ⚡ instant, realtime, high-performance on any Postgres application, existing or new (by prest)
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go-mysql pREST
1 15
4,422 4,084
1.4% 1.0%
7.6 8.0
3 days ago 1 day ago
Go Go
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

go-mysql

Posts with mentions or reviews of go-mysql. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-03.

pREST

Posts with mentions or reviews of pREST. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-12.

What are some alternatives?

When comparing go-mysql and pREST you can also consider the following projects:

tidb - TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial

InfluxDB - Scalable datastore for metrics, events, and real-time analytics

cockroach - CockroachDB - the open source, cloud-native distributed SQL database.

go-cache - An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.

diskv - A disk-backed key-value store.

dgraph - The high-performance database for modern applications

pgweb - Cross-platform client for PostgreSQL databases

goose

tiedot - A rudimentary implementation of a basic document (NoSQL) database in Go