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@mccraigmccraig do you use much tinkerpop? I was looking at the various gremlin dsls last night.
Writing a datalog -> gremlin bytecode compiler is appealing, mostly because I like datalog.
we’re not using any tinkerpop atm - i’ve been trying to avoid being committed to DSE, so whatever graph stuff we do is currently done with set ops
@mccraigmccraig what are set ops? I don't think you would be committed to DSE, as you can use janusgraph, or is that not true?
@dominicm set ops as in joins on edge-sets... i hadn’t come across janusgraph though - that might be useful
@mccraigmccraig fun history lesson. JanusGraph is forked from TitanGraph. TitanGraph were bought by DSE.
yeah, i knew about titan->dse... didn’t know there was still a live oss version tho
dse is cassandra plus some integrated bits (spark aka analytics, graph aka titan and search aka solr)...
so our oltp is just cassandra - it’s fast and scales well, but modelling is very different from an rdb
Wasn't sure about cassandra with oltp queries at all. Hard to get a feel when most people use it for olap/big-data stuff. I'm wondering about if mixing oltp & olap data in cassandra is fine, especially if you have graph queries to do lovely work on them both.
C* people generally want to heavy reads on a replicated dB rather than on the one taking heavy writes
@dominicm generally you have a separate “datacenter” (c* terminology) for spark, still synced with all the other “datacenters” in your cluster so no need for any ETL
DSE has a metadata store impl for spark-sql too, do you can point BI tools like tableau st your c*+spark cluster
@mccraigmccraig I'm wondering if that plays nice with the graph stuff. Why metadata and not something else?