EdgeDB co-founder Yury here. Ask me anything :) Live launch stream: https://www.youtube.com/watch?v=WRZ3o-NsU_4
Is there an eta or public wip of a python query builder?
Show HN: EdgeDB 1.0
11–20 of 332 posts
Re: Show HN: EdgeDB 1.0
#12impoart * as edgedb from "edgedb";
Re: Show HN: EdgeDB 1.0
#13EdgeDB employee here. We're beyond excited to finally publish a stable release of EdgeDB after 4 years of active development and 15 pre-releases. Happy to answer any questions on here!
Re: Show HN: EdgeDB 1.0
#14Re: Show HN: EdgeDB 1.0
#15Is this a potential alternative to graph databases too? How does it compare to them?
If you use a graph database to run graph algorithms on your data, then NO. Although we'll be working on adding support for recursive queries to EdgeQL in the near future.
Re: Show HN: EdgeDB 1.0
#16At the time of writing, docs have a large typo in them: https://www.edgedb.com/docs/clients/01_js/driver impoart * as edgedb from "edgedb";
Re: Show HN: EdgeDB 1.0
#17EdgeDB employee here. We're beyond excited to finally publish a stable release of EdgeDB after 4 years of active development and 15 pre-releases. Happy to answer any questions on here!
4 years!? Wow, I can't imagine how you guys are feeling today, congrats and all the best to the project!
Re: Show HN: EdgeDB 1.0
#18"What is a graph-relational database? EdgeDB is built on an extension of the relational data model that we call the graph-relational model. This model completely eliminates the object-relational impedance mismatch while retaining the solid basis of and performance of the classic relational model. This makes EdgeDB an ideal database for application development."
Re: Show HN: EdgeDB 1.0
#19I don't see how can they retain the performance of the relational model when using graphs on top of PG unless they are using PG as storage k/v layer only.
Re: Show HN: EdgeDB 1.0
#20EdgeDB is built on an extension of the relational data model that we call the graph-relational model. This model completely eliminates the object-relational impedance mismatch while retaining the solid basis of and performance of the classic relational model. I don't see how can they retain the performance of the relational model when using graphs on top of PG unless they are using PG as storage k/v layer only.