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I am considering using mongo db (it could be postgresql or any other ) as a data warehouse, my concern is that up to twenty or more users could be running queries at a time and this could have serious implications in terms of performance.
My question is what is the best approach to handle this in a cloud based and non cloud based environment? Do cloud based db's automatically handle this? If so would the data be consistent through all instances if a refresh on the data was made? In a non cloud based environment would the best approach be to load balance all instances? Again how would you ensure data integrity for all instances?
thanks in advance
I think auto sharding is what I am looking for
http://docs.mongodb.org/v2.6/MongoDB-sharding-guide.pdf
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I want to know how to recover Scalar DB to another instance using Cassy backup.
Because I need a new instance for tests from the production environment.
There is no direct support in Cassy to load backups that were taken in a cluster to another cluster.
Since Cassy only manages snapshots of Cassandra, you can follow the doc to do it.
For testing, I would recommend dumping some of the data from the current (possibly production) cluster and load it to a new testing cluster.
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I'm looking at building a (hopefully) large scale web application. The application will manage many users with lots of data, therefore a large database.
My issue is that I cannot decide which framework, or database software I should use.
I'm torn between using Angular2 or Vue.js 2.0, and Firebase or MongoDB.
Could somebody please provide some guidance or scale-ability, use on large scale apps etc.. on the above.
Any guidance will be much appreciated.
Thanks a lot :)
Of you are still deciting on which NoSQL database to choose: This survey could be of much help: https://news.ycombinator.com/item?id=12289975
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I need to test the performance of MongoDB and Postgresql in large amount of data, over 5GB, for a college's assignment.
How can I create data for both databases?
Thanks
EDIT:
I found this webpage http://www.generatedata.com where you can download a script to generate the data
First, take a look to How to Generate Test Data on MongoDB. For MongoDB mongoperf i a tool to measure performance of such database on disk. also, you can see MongoDB Benchmarks. For Postgressql you can use pgbench.
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What are nosql databases?
Nosql database is a buzzword now a days, I searched there are lots of nosql database like: mongodb, hadoop, cassandra...
But still I dont understand how they are different from Relational databases.
nosql databases are key,value storage that provides functionalities/features like replication,fault tolerance,eventual consistency.Relational database is transactional consistent and with primary,secondary indexes,well designed cost/rule based optimizers.
However,nosql scales horizontally and it is hard to scale relational database.
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Is it better to create one Mongo databases per each user with thousand documents in one collection or one database with millions of documents in one collection?
I do not want to exchange data through the users. It will be completely separate.
The most powerful structure to store the information depend by query that you want to perform.
For example, if you want to execute a query between more users should consider the hypothesis of a single private collection.
Mongo db also offers an efficient system for the distribution of the workload across multiple machines in a completely transparent see here