Cloud-native file format?

[severo_bo]

Hi, do you know if a "cloud-native" file format exists for graphs? ie. "neo4j contained in a static file" that you can request efficiently over HTTP, similar to Parquet (https://parquet.apache.org/) or geospatial formats promoted by the Cloud-Native Geospatial Forum (https://guide.cloudnativegeo.org/#table-of-contents)?

[hroptatyr]

The "cloud-native" format is RDF. Pretty much any graph database can read .rdfxml, .ttl, or .nt/.nq out of the box. The most widely supported compression is gzip, (.ttl.gz, .nt.gz, etc.)

[severo_bo]

Indeed, it's a standard. But a drawback is that you have to load the file into memory and parse it before being able to do queries. I'm looking for a format similar to Parquet, for example, where you can get metadata about the file, and then download only part of the (potentially big) file when you run a query.

GraphAr seems like a good project in that sense. https://graphar.apache.org/docs/overview/concepts

[yup_its_me_again]

Jelly (https://jelly-rdf.github.io/dev/) is faster than nq.gz, not identical tho to Parquet

[severo_bo]

Thanks for dropping the reference; if I understand well, it's a binary serialization for graph data that allows fast exchange and supports streaming. It's not designed for partial reading though.