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From DuyHai Doan <doanduy...@gmail.com>
Subject Re: Cassandra vs Elasticsearch.
Date Sat, 03 May 2014 07:31:54 GMT
Hello Tim

 You're absolutely right about ES for the query part. This is the perfect
fit for complex queries. Now regarding your question:

"What advantages does Cassandra give me over ES?" --> linear scalability &
durability. ES is just a super index cluster. I've talked to ES guys. If
they do not sell ES right now as a "database for complex search" it's
because there is no strong guarantee about durability for your data. Many
people just live with it and it's fine. Also, if you store the original
data and just pump it into ES it's also fine.




On Sat, May 3, 2014 at 9:14 AM, Tim Uckun <timuckun@gmail.com> wrote:

> 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.
>
> Thanks.
>

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