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From Tim Uckun <>
Subject Cassandra vs Elasticsearch.
Date Sat, 03 May 2014 07:14:44 GMT
Hey all.

I have been trying out some data stores for time series data and Cassandra
was the first on my list because so many people are using it for the same
purpose.  I have read many articles on how to model my time series data and
tried several variations of schemas which I thought made sense for my data
but I have really struggled to run some complex queries I need to run.
This has led me down a kind of a rabbit hole of trying to create various
"materialized views" and shotgunning the data into multiple tables which
might be able to run my queries.

In the mean time I also took the same data and pumped it into Elasticsearch
and was able to run almost all the queries I needed without doing anything
fancy. Just put the data in, and run your query. The new aggregations in ES
are pretty slick although they don't seem to be 100% accurate compared to
running the same query in Postgres.

My question is this.  What advantages does Cassandra give me over ES?  Does
it compact the data better? Is it faster to query once your data sizes are
huge? Does it use less bandwidth? Is it easier to administer?

I know there must be very compelling reasons to use C* because so many
companies are depending on it for their bread and butter so I'd love to
hear your take.


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