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<!DOCTYPE html>
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<title>The DB jungle guide - NOSQL Databases</title>
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<h1>The DB jungle guide: "How to select the right database"</h1>
This list is compiled from 2 years of NoSQL consulting and has been presented on many conferences (video <a href="http://www.infoq.com/presentations/Choosing-NoSQL-NewSQL">here</a>),
articles (e.g. here) and in the worlds first NoSQL Books (in german).
<h2>Cluster 1: Know & Segment your data</h2>
<h3>Analyze & Categorize it:</h3>
<ul>
<li>Domain-Data</li>
<li>Log-Data</li>
<li>Event-Data</li>
<li>Message-Data</li>
<li>critical Data</li>
<li>Business-Data</li>
<li>Meta-Data</li>
<li>temp Data</li>
<li>Session-Data</li>
<li>Geo Data</li>
<li>etc.</li>
</ul>
<h3>Data- / Storage Model:</h3>
<ul>
<li>relational</li>
<li>column-o</li>
<li>doc-alike</li>
<li>graphs</li>
<li>objects</li>
<li>multivalue</li>
<li>objects=ORM</li>
<li>JSON</li>
<li>BLOBS</li>
<li>etc. (beyond bit-bucket)</li>
</ul>
<h3>Data / Type constraints:</h3>
<ul>
<li>Data-Navigation?</li>
<li>Data Amount?</li>
<li>Data Komplexity (Deep XML?)</li>
<li>Schema flexibility?</li>
<li>Schema support needed?</li>
</ul>
<h3>Persistence design:</h3>
(Reference: (C) highscalability link to be inserted)
<ul>
<li>Durability? On power failure?</li>
<li>Memtable/SSTable; Apend-only B-tree; B-tree; On-disk linked lists;
In-memory replicated; In-memory snapshots; In-memory only; Hash; Pluggable.
</li>
</ul>
<h2>Cluster 2: Consistency Model</h2>
<h3>Global consistency model:</h3>
<ul>
<li>ACID / BASE / WATER?</li>
<li>Ability to (fine) tune the consistency model</li>
</ul>
<h3>CAP tradeoff:</h3>
<ul>
<li>CP, AP, CA or tunable?</li>
</ul>
<h2>Cluster 3: Performance Dimensions</h2>
<ul>
<li>Latency / Request behaviour / distribution [High = 10, Low = 0]</li>
<li>Throughput [High = 10, Low = 0]</li>
<li>High Concurrency?</li>
</ul>
<h2>Cluster 4: Query Requirements</h2>
<ul>
<li>Typical queries look like?</li>
<li>SQL needed? LINQ needed?</li>
<li>BI / Analytic-Tools needed? (M/R sufficient?)</li>
<li>Ad-Hoc Queries needed?</li>
<li>Map/Reduce needed? Background data analytics?</li>
<li>Secondary Indices</li>
<li>Range queries</li>
<li>Weird aggregations</li>
<li>ColumnDB needed for Analytics?</li>
<li>Views</li>
</ul>
<h2>Cluster 5: Architecture and Patterns</h2>
<h3>Architecture looks like:</h3>
<ul>
<li>local, parallel, distributed / grid, service, p2p, …</li>
<li>Target Platform: Hosted? Cloud? Local? Datacenter? Smartphone? Desktop?</li>
</ul>
<h3>Data Access Patterns</h3>
<ul>
<li>read / write distribution?</li>
<li>random / sequential access?</li>
<li>Access Design Patterns</li>
</ul>
<h2>Cluster 6: Non functional Requirements</h2>
<ul>
<li>Replication needed? = Rubustness</li>
<li>Automatic load balancing, partitioning, and repartitioning?</li>
<li>Auto-Scaling</li>
<li>Text search integration? Lucene / Solr?</li>
<li>Refactoring Frequency?</li>
<li>24/7 System? Live add and remove?</li>
<li>Developer Qualification</li>
<li>DB simplicity? (installation, configuration, development, deployment, upgrade)</li>
<li>Company restrictions?</li>
<li>DB diversity (allowed?)</li>
<li>Security? (authentication, authorization, validation?)</li>
<li>Licence Model?</li>
<li>Vendor trustworthiness?</li>
<li>Community support?</li>
<li>Documentation?</li>
<li>Company and DB dev in the future?</li>
</ul>
<h3>Costs:</h3>
<ul>
<li>DB-Support? (responsiveness, SLA)</li>
<li>Costs in general, Scaling Costs</li>
<li>Sysadmin costs</li>
<li>Operational Costs: (noOps)</li>
<li>Safety / Backup & Restore</li>
<li>Crash Resistance, Disaster Management</li>
<li>Monitoring</li>
</ul>
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