DBRepo makes your dataset searchable without extra effort: most metadata is generated automatically for data in your databases. The fast and powerful OpenSearch database allows a fast retrieval of any information.
Adding semantic mapping through a suggestion-feature, allows machines to properly understand the context of your data.
Adopting the recommendations of the RDA-WGDC, arbitrary subsets can be precisely, persistently identified using system-versioned tables of MariaDB and the DOI schema.
External systems i.e. metadata harvesters (OpenAIRE, Google Datasets) can access these datasets through OAI-PMH, JSON-LD and FAIR Signposting protocols.
With our strongly typed Python Library, Data Scientists can import, export and work with data from Jupyter Notebook or Python script, optionally using Pandas DataFrames.
For example: the AMQP API Client can collect continuous data from edge devices like sensors and store them asynchronous in DBRepo.
Our lightweight Helm chart allows for installations on any cloud provider that has an underlying PV storage provider. DBRepo can be installed from the Artifacthub repository.
Databases are managed as MariaDB Galera Cluster with high degree of replication, ensuring your data is always accessible.