Cluelabs LRS vs SQL LRS

Cluelabs LRS is a cloud learning record store that collects, stores and analyzes learning activity through xAPI. It can complement an LMS or work as a separate tracking repository, using the official xAPI 1.0.3 standard. The service can ingest statements from Storyline, Rise, Captivate, custom web simulations, mobile learning apps and VR headsets. Reports can examine cmi.interaction measures, including learner responses, selected distractors and latency. Records are filterable by date range, course or learner, with CSV downloads. Courses can be hosted on corporate intranets, public documentation sites, standalone portals or LMS platforms. Cluelabs lists integrations for Articulate Storyline, Articulate Rise, Adobe Captivate and custom web learning applications. Incoming data is transmitted over encrypted HTTPS and stored in isolated Google Cloud Platform zones; customers can select a country and, in some cases, a region for storage. The Free plan provides 5,000 monthly credits and an estimated 500 Analytics/LRS events if reserved for Analytics. Paid pricing is listed from $6.95/mo.

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.