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From Marc Teufel <>
Subject Re: Is Cassandra oversized for this kind of use case?
Date Fri, 26 Apr 2013 16:59:02 GMT
Okay one billion rows of data is a lot, compared to that i am far far away
- means i can stay with Oracle? Maybe.
But you're right when you say its not only about big data but also about
your need.

So storing the data is one part, doing analytical analysis is the second. I
do a lot of calculations and queries to generate management criteria about
how the production is going on actually, how the production went the last
week, month, years and so on. Saving in a 5 minute rhythm is only a
compromise to reduce the amount of data - maybe in the future the usecase
will change an is about to store status of each machine as soon as it
changes. This will of course increase the amount of data and the complexity
of my queries again. And sure I show "Live" Data today... 5 Minute old Live
Data... but if i tell the CEO that i am also able to work with real live
data, i am sure this is what he wants to get .... ;-)

Can you recommend me to use Cassandra for this kind of scenario or is this
oversized ?

Does it makes sense to start with 2 Nodes ?

Can i virtualize these two Nodes ?

Thx a lot for your assistance.


2013/4/26 Hiller, Dean <>

> Well, it depends more on what you will do with the data.  I know I was on
> a sybase(RDBMS) with 1 billion rows but it was getting close to not being
> able to handle more (constraints had to be turned off and all sorts of
> optimizations done and expert consultants brought in and everything).
> BUT there are other use cases where noSQL is great for (ie. It is not just
> great for big data type systems).  It is great for really high write
> throughput as you can add more nodes and handle more writes/second than an
> RDBMS very easily yet you may be doing so many deletes that the system
> constantly stays at a small data set.
> You may want to analyze the data constantly or near real time involving
> huge amounts of reads / second in which case noSQL can be better as well.
> Ie. Nosql is not just for big data.  I know with PlayOrm for cassandra, we
> have handled many different use cases out there.
> Later,
> Dean
> From: Marc Teufel <<mailto:
> Reply-To: "<>" <
> Date: Friday, April 26, 2013 8:17 AM
> To: "<>" <
> Subject: Is Cassandra oversized for this kind of use case?
> I hope the Cassandra Community can help me finding a decision.
> The project i am working on actually is located in industrial plant,
> machines are connected to a server an every 5 minutes i get data from the
> machines about its status. We are talking about a production with 100+
> machines, so the data amount is very high:
> Per Machine every 5th minute one row,
> means 12 rows per hour, means roundabout 120 rows per day = 1200+ rows per
> day
> multiplied by 20 its 240.000 rows per month and 2.880.000 rows per year. I
> have to hold
> the last 3 years and i must be able to do analytics on this data. in the
> end i deal with roundabout 10 Mio Rows (12 columns holding text and numbers
> each row)
> Okay, its kind of big data is not really  "big data" isn'it  but for me
> its a lot data to handle anyway.
> Actually i am holding all these data in a oracle database but doing
> analytics on so many rows
>  is not the good and modern way i think. as the company is successfull
> they will grew, means more machines, again more data to handle...
> So i thought maybe Big Data technologies are a possible solution for me to
> store my data.
> Meanwhile i know Apache Hadoop is not the right tool for this kind of
> thing because it scales not down.But maybe Cassandra ? This is my question
> to you, do you think cassandra is the right store for this kind of data?
> I am thinking about 2 Nodes. Maybe virtual.
> Let me know what you think. And if Cassandra is not the right tool please
> tell me and if you know any please tell me alternatives. Maybe i am already
> doing the right thing with storing that much data in oracle database and
> maybe one of you is doing the same - if so please let me also know.
> Thank you very much.
> Web:


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