Datasette

0
9
+ 1
0
pghoard

1
8
+ 1
0
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Datasette vs pghoard: What are the differences?

Datasette: An instant JSON API for your SQLite databases. Provides an instant, read-only JSON API for any SQLite database. It also provides tools for packaging the database up as a Docker container and deploying that container to hosting providers; pghoard: Tools for making PostgreSQL backups to cloud object storages. pghoard is a PostgreSQL backup daemon and restore tooling for cloud object storages.

Datasette and pghoard belong to "Database Tools" category of the tech stack.

Datasette and pghoard are both open source tools. It seems that Datasette with 2.53K GitHub stars and 146 forks on GitHub has more adoption than pghoard with 903 GitHub stars and 65 GitHub forks.

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What is Datasette?

Provides an instant, read-only JSON API for any SQLite database. It also provides tools for packaging the database up as a Docker container and deploying that container to hosting providers.

What is pghoard?

pghoard is a PostgreSQL backup daemon and restore tooling for cloud object storages.

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What tools integrate with Datasette?
What tools integrate with pghoard?
What are some alternatives to Datasette and pghoard?
Slick
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Sequel Pro
Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
Spring Data
It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
Microsoft SQL Server Management Studio
It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
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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