The requirements were clear:
- Fast data insertion.
- Extremely fast random reads on large datasets.
- Consistent read/write speed across the whole data set.
- Efficient data storage.
- Scale well.
- Easy to maintain.
- Have a network interface.
- Stable, of course.
The list of NoSQL databases to be compared: Tokyo Cabinet, BerkleyDB, MemcacheDB, Project Voldemort, Redis, and MongoDB, not so clear.
The methodology to evaluate and the results definitely not clear at all.
And the conclusion is quite wrong:
Although MongoDB is the solution for most NoSQL use cases, it’s not the only solution for all NoSQL needs.
Original title and link: Another NoSQL Comparison: Evaluation Guide (NoSQL databases © myNoSQL)
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