timokramer/datahike-server

Datahike Server lets you run Datahike, a database system, as a networked service that other applications can connect to and use remotely. Instead of embedding the database directly in your code, you spin up this server and talk to it over the network, similar to how you'd connect to a database like PostgreSQL or MongoDB. At a basic level, the server wraps Datahike and exposes it through a network interface (by default on port 3000). You start the server once, configure where your data lives and how it should behave, and then any client, whether it's a web app, mobile app, or another service, can send requests to it and read or write data. The README doesn't detail the exact API or request format, but the core idea is straightforward: you're turning a library into a service that multiple things can access simultaneously. You'd use this if you need Datahike accessible from multiple places or want to keep your database separate from your application code. For example, if you're building a backend service, a data pipeline, and a reporting tool, all three could connect to a single Datahike Server instance rather than each one maintaining its own copy of the database. It's also useful for teams where different services are built in different languages or frameworks, they can all speak to the same Datahike Server without needing to understand how Datahike works internally. The project emphasizes configuration flexibility. You can set up the database and server behavior through a configuration file, environment variables, or Java system properties, giving you options depending on how you deploy it. The server also includes logging to help you debug what's happening, with adjustable verbosity levels so you can dial in exactly how much detail you want to see.