szarnyasg

8 ms·

1. 61.▲
   by szarnyasg 6y ago

   The authors of paper "Graph Processing in RDBMSs" surveyed graph features in 2017 among 4 popular systems: http://sites.computer.org/debull/A17sept/p6.pdf (page 6, Table 1) They found that only Oracle su
2. 62.▲
   by szarnyasg 6y ago

   Both SPARQL and Gremlin have been adopted to some extent. SPARQL is a W3C standard and Gremlin is reasonably well-specified (it has good documentation and a reference implementation), so it's possible to implement a functionally correc
3. 63.▲
   by szarnyasg 6y ago

   > Traditional relational OLTP databases such as Postgres are already faster than dedicated graph databases for certain graph related tasks It is indeed quite common that relational databases outperform graph databases on certain graph pr
4. 64.▲
   by szarnyasg 6y ago

   There has been a lot of progress on creating standardized query languages for graphs. The two most notable ones are [2]: - SQL/PGQ, a property graph query extension to SQL is planned to be released next year as part of SQL:2021. - GQL,
5. 65.▲
   GraphBLAS: A linear algebraic approach for portable graph algorithms(zenodo.org)

   11 points by szarnyasg 6y ago|0 comments
6. 66.▲
   by szarnyasg 6y ago

   I have created a tutorial slideshow on the theory of GraphBLAS with lots of examples and step-by-step illustrations: http://mit.bme.hu/~szarnyas/grb/graphblas-introduction.pdf A shorter version of this tutorial wa