On-Prem OSDU Reference Implementation with MongoDB support
We would like to propose the support of MongoDB as the Meta-Data Storage implementation for the OSDU On-Prem reference deployment. As a contributing member of OSDU (since late 2019), MongoDB would be happy to support this effort.
The benefits of using MongoDB in this context are:
- Native storage and query of JSON objects
- Ability to directly manipulate JSON objects at the field level
- Document model supports flexible representation of data-types, e.g. Key-value, Graph (useful for Entitlements), Tabular, Geo Spatial, Time-Series
- Document sizes support up to 16MB’s for consistent performance
- Ability to shield operational workloads from analytics queries (workload isolation)
- Flexible deployment options (on-prem, hybrid, cloud)
- Scaling from lightweight single cluster to multi-region clusters with replication
- Available as open-source (community), supported (Enterprise Advanced) and SaaS (e.g. MongoDB Atlas, available across all major cloud providers, e.g. Google, Azure, AWS)
@Nieten , @Kateryna_Kurach , @jgschmitz1965
[Robert Oberhofer, MongoDB]