About Lakesuperior ================== Lakesuperior is an alternative `Fedora Repository `__ implementation. Fedora is a mature repository software system historically adopted by major cultural heritage institutions. It exposes an `LDP `__ endpoint to manage any type of binary files and their metadata in Linked Data format. Guiding Principles ------------------ Lakesuperior aims at being an uncomplicated, efficient Fedora 4 implementation. Its main goals are: - **Reliability:** Based on solid technologies with stability in mind. - **Efficiency:** Small memory and CPU footprint, high scalability. - **Ease of management:** Tools to perform monitoring and maintenance included. - **Simplicity of design:** Straight-forward architecture, robustness over features. Key features ------------ - Drop-in replacement for Fedora4 (with some :doc:`caveats `); currently being tested with Hyrax 2 - Very stable persistence layer based on `LMDB `__ and filesystem. Fully ACID-compliant writes guarantee consistency of data. - Term-based search and SPARQL Query API + UI - No performance penalty for storing many resources under the same container; no `kudzu `__ pairtree segmentation [#]_ - Extensible :doc:`provenance metadata ` tracking - :doc:`Multi-modal access `: HTTP (REST), command line interface and native Python API. - Fits in a pocket: you can carry 50M triples in an 8Gb memory stick [#]_. Implementation of the official `Fedora API specs `__ (Fedora 5.x and beyond) is not foreseen in the short term, however it would be a natural evolution of this project if it gains support. Please make sure you read the :doc:`Delta document ` for divergences with the official Fedora4 implementation. Target Audience --------------- Lakesuperior is for anybody who cares about preserving data in the long term. Less vaguely, Lakesuperior is targeted at who needs to store large quantities of highly linked metadata and documents. Its Python/C environment and API make it particularly well suited for academic and scientific environments who would be able to embed it in a Python application as a library or extend it via plug-ins. Lakesuperior is able to be exposed to the Web as a `Linked Data Platform `__ server. It also acts as a SPARQL query (read-only) endpoint, however it is not meant to be used as a full-fledged triplestore at the moment. In its current status, Lakesuperior is aimed at developers and hands-on managers who are interested in evaluating this project. Status and development ---------------------- Lakesuperior is in **alpha** status. Please see the `project issues `__ list for a rudimentary road map. -------------- .. [#] However if your client splits pairtrees upstream, such as Hyrax does, that obviously needs to change to get rid of the path segments. .. [#] Your mileage may vary depending on the variety of your triples.