Jupiter vs SQL LRS

Jupiter is an open-source Learning Record Store (LRS) for collecting learning activity data using the xAPI and Caliper specifications. Its repository ingests Experience API and Caliper API payloads, and the maker describes it as scalable and fault tolerant. Jupiter includes Metis, an open-source interface for constructing queries and reviewing metrics. Metis presents results as tables or visualizations, exports them in multiple formats, and monitors cluster health with notices about network or hardware failures. The software can be self-hosted. Transcordia also offers Jove, a hosted LRS built on Amazon Web Services and powered by Jupiter; the maker says it can handle tens of thousands of learning events per second. Jove costs nothing for up to 1 million events per year. Above that allowance, the listed price is $1 a month for each 10,000 events per month. The repository identifies an MIT license, and the maker welcomes coding contributions and pull requests. Its stated audience includes educational institutions and research organizations.

SQL LRS is a self-hosted Learning Record Store for xAPI statements, attachments, and documents. It supports SQLite, Postgres, MariaDB, and MySQL. Built-in conditional logic can evaluate incoming activity and create internal xAPI statements for validated outcomes. Its SQL data can connect to tools such as Power BI, Tableau, Looker, Apache Superset, and AI stacks that work with structured databases. Authentication options include OpenID and API credentials with keys, secrets, and scopes. The software is available through GitHub, DockerHub, and Platform One’s Iron Bank, but customers host it themselves. It is free under the Apache 2.0 license and may be used in commercial projects; implementation and support services are quoted separately. The maker says it conforms to IEEE 9274.1.1 and that Iron Bank containers have Certification to Field for Platform One IL2 and IL4 environments. SQL LRS is an LRS, not an LMS or content store: it does not produce learning data or host learning content. Described uses include collecting activity from LMS, AR/VR/XR, and simulation systems and exchanging learning data with business and AI systems.