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From Michael Kjellman <>
Subject Re: Solr Use Cases
Date Wed, 19 Sep 2012 15:08:49 GMT
If I were you I would look into ElasticSearch unless you are okay updating the search cache
very infrequently.

I tried Solandra vs ElasticSearch in our use case and there was no contest.

Also, Cassandra is great for writes but not as optimized for reads. Honestly, it all depends
on your use case and what brand of Lucine depends on it.

I would benchmark it and see what sticks.

On Sep 19, 2012, at 5:28 AM, "Roshni Rajagopal" <<>>


Im new to Solr, and I hear that Solr is a great tool for improving search performance
Im unsure whether Solr or DSE Search is a must for all cassandra deployments

1. For performance - I thought cassandra had great read & write performance. When should
solr be used ?
Taking the following use cases for cassandra from the datastax FAQ page, in which cases would
Solr be useful, and whether for all?

 *   Time series data management
 *   High-velocity device data ingestion and analysis
 *   Media streaming (e.g., music, movies)
 *   Social media input and analysis
 *   Online web retail (e.g., shopping carts, user transactions)
 *   Web log management / analysis
 *   Web click-stream analysis
 *   Real-time data analytics
 *   Online gaming (e.g., real-time messaging)
 *   Write-intensive transaction systems
 *   Buyer event analytics
 *   Risk analysis and management

2. what changes to cassandra data modeling does Solr bring? We have some guidelines &
best practices around cassandra data modeling.
Is Solr so powerful, that it does not matter how data is modelled in cassandra? Are there
different best practices for cassandra data modeling when Solr is in the picture?
Is this something we should keep in mind while modeling for cassandra today- that it should
be  good to be used via Solr in future?

3. Does Solr come with any drawbacks like its not real time ?

I can & should read the manual, but it will be great if someone can explain at a high

Thank you!


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