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    <p>[Update edited to match edit to original question]</p> <p>Short answer, (almost) any of them will work.</p> <p>BigTable databases are a great platform for monitoring services (log analysis, etc). I prefer Cassandra (Super Column Families, secondary indexes, atomic increment coming soon), but HBase will work for you too. Structure the date value so that its lexicographic ordering is the same as the date ordering. Fixed-length strings following the format "YYYYMMDDHHmmss" work nicely for this. If you use this string as your key, range queries will be <em>very</em> simple to perform.</p> <p>Handling changing schema is a breeze - just add more columns to the column family. They don't need to be defined ahead of time.</p> <p>I probably wouldn't use graph databases for this problem, as it'll probably summarize to traversing a linked list. However, I don't have a ton of experience with graph databases, so take this advice with a grain of salt.</p> <p>[Update: some of this is moot since the question was edited, but I'm keeping it for posterity]<br> Is this <em>all</em> you're doing with this database? The big problem with selecting a NoSQL database isn't finding one that supports <em>one</em> query requirement well. The problem is finding one that supports <em>all</em> of your query requirements well. Also, what are your operational requirements? Can you accept a single point of failure? What kind of setup/maintenance overhead are you willing to tolerate? Can you sacrifice low latency for high-throughput batch operations, or is realtime your gig?</p> <p>Hope this helps!</p>
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    1. POBest NoSql for querying date ranges?
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    1. CONear realtime is the gig. Single point of failure is fairly acceptable because the source data is still archived somewhere else. Define mainenance requirements?
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    2. COBy "maintenance" I mean overhead required to maintain the servers. Typically this overhead is higher on more complicated setups, like big HBase clusters, and lower on simpler setups. Cassandra is still probably the best "bang for your buck" here.
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A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

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