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In this post, we discuss our approach to managing a PostgreSQL database with GORM and Atlas in a collaborative development environment. We chose this tech stack for its advanced features, robust schema management, and seamless integration. GORM simplifies interactions with PostgreSQL and automates migrations, while Atlas handles schema versioning and ensures consistency across environments. For a practical example, check out this basic example repository.
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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PostgreSQL
Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
PostgreSQL offers a rich set of features such as support for complex data types, full-text search, and JSONB, making it suitable for sophisticated applications.
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GORM is a, quite conveniently named, ORM for GO
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Atlas is a modern database schema management tool that provides a declarative way to manage database schemas and migrations.