存储高度参数化实体的最佳方法是什么？

Question

Ok, let met try to explain this in more detail. I am developing a diagnostic system for airplanes. Let imagine that airplanes has 6 to 8 on-board computers. Each computer has more than 200 different parameters. The diagnostic system receives all this parameters in binary formatted package, then I transfer data according to the formulas (to km, km/h, rpm, min, sec, pascals and so on) and must store it somehow in a database. The new data must be handled each 10 - 20 seconds and stored in persistence again. We store the data for further analytic processing.

Requirements of storage :

• support sharding and replication
• fast read: support btree-indexing
• NOSQL
• fast write

So, I calculated an average disk or RAM usage per one plane per day. It is about 10 - 20 MB of data. So an estimated load is 100 airplanes per day or 2GB of data per day.

It seems that to store all the data in RAM (memcached-liked storages: redis, membase) are not suitable (too expensive). However, now I am looking to the mongodb-side. Since it can utilize as RAM and disk usage, it supports all the addressed requirements.

Please, share your experience and advices.

Answer 1

There is a helpful article on NOSQL DBMS Comparison.
Also you may find information about the ranking and popularity of them, by category.

It seems regarding to your requirements, Apache's Cassandra would be a candidate due to its Linear scalability, column indexes, Map/reduce, materialized views and powerful built-in caching.