[HN Gopher] No-SQL databases are glorified caches
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No-SQL databases are glorified caches
Author : hernantz
Score : 23 points
Date : 2021-04-26 14:39 UTC (8 hours ago)
(HTM) web link (hernantz.github.io)
(TXT) w3m dump (hernantz.github.io)
| [deleted]
| j16sdiz wrote:
| I think the no-sql vs sql war have ended already. Most of us now
| know what they can or cannot do.
|
| Nothing new or interesting in this article.
| FractalHQ wrote:
| What about the guy that decided to learn about databases 5
| minutes ago? He doesn't know what they can or cannot do.
| hernantz wrote:
| You would be suprised to find out that mongodb is still popular
| for the wrong reasons
| noofen wrote:
| RAM is a cache for the disk. Disk is a cache for the network.
| vaughan wrote:
| It's surprising that graph dbs aren't more popular.
|
| Just as document dbs can be derived/denormalized from SQL dbs,
| relational dbs can be derived from a graph.
|
| Conceptually, data is a graph.
|
| I always find the decision between 1-M and M-M is so sticky with
| RDBMS, and with a graph, it can be whatever you want it to be.
| tluyben2 wrote:
| I have used 'graph dbs' (or stuff bolted onto something else
| exposing a graph and/or being called a graph-db), mostly
| commercial ones, for the past 20+ years because I have the same
| feeling as you have; every one of them was too slow (and not
| scalable but we didn't even get to that point). From absolutely
| unusable to useable as a toy; one of them was 50k$/server and
| it was a toy. But that was a long time ago; things moved on and
| I hear good things about Dgraph.
|
| So I will try it again, see if it works this time around.
| daemonk wrote:
| The flexibility of a graphdb translates to flexibility in
| writing your queries. And that's my main problem with
| graphdb. Query optimizations can be difficult. It is very
| easy to write a query that logically does what you want, but
| takes hours to run. And if you take a bit of time thinking
| about how the query runs, you can optimize to run in
| milliseconds.
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