Hello, I am working at EclecticIQ and we are curious about graph analysis over PostgreSQL. AGE looks promising so I would like to get more details.
1. Performance optimization Is AGE also looking to add different data structures / indices to improve graph query type performance ? As an example, I can refer to this Stack Overflow post: Improving Postgres performance on graph-like queries of multi-level self-joins (comparison to Neo4j)<https://stackoverflow.com/questions/52674380/improving-postgres-performance-on-graph-like-queries-of-multi-level-self-joins> 2. Graph model on pre-existing data As I understood so far, in order to use AGE syntax, you have to create the graph from scratch with AGE functions. What about an already existing database with data, will it be possible to use the tables in place though a kind of mapping ? I see 2 benefits out of it. It would save the duplication of all the data and keep the storage cost low. Also, it would avoid consistency concerns between initial tables and the graph ones. Is it something on the roadmap for the future or is it technologically impossible/too complicated ? Eric
