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GeezerVison is showing github.com — fullstackpython.com/no-sql-datastore.html at gh-pages · nullism/fullstackpython.com Expand file tree/ Copy pathno-sql-datastore.htmlMore file actions 392 lines (391 loc) · 25.7 KB / Copy pathno-sql-datastore.htmlFile metadata and controls392 lines (391 loc) · 25.7 KB 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 <!DOCTYPE html> <html lang="en"> <head> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> <meta charset="utf-8"> <meta http-equiv="X-UA-Compatible" content="IE=edge"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <meta name="author" content="Matt Makai"> <meta name="description" content="NoSQL data stores persistent data in different ways than traditional relational databases. Learn more about NoSQL on Full Stack Python."> <link rel="shortcut icon" href="//static.fullstackpython.com/fsp-fav.png"> <title>NoSQL Data Stores - Full Stack Python</title> <!--[if lt IE 9]> <script src="https://oss.maxcdn.com/libs/html5shiv/3.7.0/html5shiv.js"></script> <script src="https://oss.maxcdn.com/libs/respond.js/1.3.0/respond.min.js"></script> <![endif]--> <link href="theme/css/f.min.css" rel="stylesheet"> </head> <body> <div style="padding: 0 0 20px 0; margin: 0 0 20px 0; background-color: #22B24C;"> <div class="container"> <h2 style="color: #fff; margin: 20px 40px 0 0;"><a href="https://www.gumroad.com/l/python-deployments" style="color: #fff">The Full Stack Python Guide to Deployments book</a> has been released!</h2> </div> </div> <a href="https://github.com/makaimc/fullstackpython.com"><img style="position: absolute; top: 0; right: 0; border: 0;" src="/theme/img/fork.png" alt="Fork me on GitHub"></a> <div class="container"> <div class="row"> <div class="col-md-12"> <div class="logo-header-section"> <a href="/" style="text-decoration: none; border: none;"><img src="theme/img/logo.png" height="52" width="52" class="logo-image" style="padding-top: 1px;" alt="Full Stack Python logo"></a> <span class="logo-title"><a href="/">Full Stack Python</a></span> </div> </div> </div><div class="row"> <div class="col-md-8"> <h1>NoSQL Data Stores</h1> <p>Relational databases store the vast majority of web application persistent data. However, there are several alternative classifications of storage representations.</p> <ol> <li>Key-value pair</li> <li>Document-oriented</li> <li>Column-family table</li> <li>Graph</li> </ol> <p>These persistent data storage representations are commonly used to augment, rather than completely replace, relational databases. The underlying persistence type used by the NoSQL database often gives it different performance characteristics than a relational database, with better results on some types of read/writes and worse performance on others.</p> <h2>Key-value Pair</h2> <p>Key-value pair data stores are based on <a href="http://en.wikipedia.org/wiki/Hash_table">hash map</a> data structures.</p> <h3>Key-value pair data stores</h3> <ul> <li> <p><a href="http://redis.io/">Redis</a> is an open source in-memory key-value pair data store. Redis is often called "the Swiss Army Knife of web application development." It can be used for caching, queuing, and storing session data for faster access than a traditional relational database, among many other use cases. <a href="https://github.com/andymccurdy/redis-py">Redis-py</a> is a solid Python client to use with Redis.</p> </li> <li> <p><a href="http://www.memcached.org/">Memcached</a> is another widely used in-memory key-value pair storage system.</p> </li> </ul> <h3>Key-value pair resources</h3> <ul> <li><a href="http://dba.stackexchange.com/questions/607/what-is-a-key-value-store-database">What is a key-value store database?</a> is a Stack Overflow Q&A that straight on answers this subject.</li> </ul> <h3>Redis resources</h3> <ul> <li> <p>"<a href="https://www.digitalocean.com/community/tutorials/how-to-install-and-use-redis">How To Install and Use Redis</a>" is a guide for getting up with the extremely useful in-memory data store.</p> </li> <li> <p><a href="http://degizmo.com/2010/03/22/getting-started-redis-and-python/">Getting started with Redis and Python</a> is a walkthrough for installing and playing around with the basics of Redis.</p> </li> <li> <p>This video on <a href="https://www.youtube.com/watch?v=rP9EKvWt0zo">Scaling Redis at Twitter</a> is a detailed look behind the scenes with a massive Redis deployment.</p> </li> <li> <p><a href="http://charlesleifer.com/blog/walrus-lightweight-python-utilities-for-working-with-redis/">Walrus</a> is a higher-level Python wrapper for Redis with some caching, querying and data structure components build into the library.</p> </li> <li> <p><a href="http://jamesls.com/writing-redis-in-python-with-asyncio-part-1.html">Writing Redis in Python with Asyncio</a> shows a detailed example for how to use the new Asyncio standard library in Python 3.4+ for working with Redis.</p> </li> <li> <p><a href="http://averagesecurityguy.info/2015/09/17/pentesting-redis-servers/">Pentesting Redis servers</a> shows that security is important not only on your application but also the databases you're using as well.</p> </li> </ul> <h2>Document-oriented</h2> <p>A document-oriented database provides a semi-structured representation for nested data. </p> <h3>Document-oriented data stores</h3> <ul> <li> <p><a href="http://www.mongodb.org/">MongoDB</a> is an open source document-oriented data store with a Binary Object Notation (BSON) storage format that is JSON-style and familiar to web developers. <a href="http://docs.mongodb.org/ecosystem/drivers/python/">PyMongo</a> is a commonly used client for interfacing with one or more MongoDB instances through Python code. <a href="http://mongoengine.org/">MongoEngine</a> is a Python ORM specifically written for MongoDB that is built on top of PyMongo.</p> </li> <li> <p><a href="http://basho.com/riak/">Riak</a> is an open source distributed data store focused on availability, fault tolerance and large scale deployments.</p> </li> <li> <p><a href="http://couchdb.apache.org/">Apache CouchDB</a> is also an open source project where the focus is on embracing RESTful-style HTTP access for working with stored JSON data.</p> </li> </ul> <h3>Document-oriented data store resources</h3> <ul> <li> <p><a href="http://www.optinidus.com/blogs/guide-to-mongodb-for-startups/">MongoDB for startups</a> is a guide about using non-relational databases in green field environments.</p> </li> <li> <p>The creator and maintainers of PyMongo review four decisions they regret from building the widely-used Python MongoDB driver.</p> <ol> <li><a href="http://emptysqua.re/blog/good-idea-at-the-time-pymongo-start-request/">start_request</a></li> <li><a href="http://emptysqua.re/blog/it-seemed-like-a-good-idea-at-the-time-pymongo-use-greenlets/">use_greenlets</a></li> <li><a href="http://emptysqua.re/blog/good-idea-at-the-time-pymongo-copy-database/">copy_database</a></li> <li><a href="http://emptysqua.re/blog/good-idea-at-the-time-pymongo-mongoreplicasetclient/">MongoReplicaSetClient</a></li> </ol> </li> </ul> <h2>Column-family table</h2> <p>A the column-family table class of NoSQL data stores builds on the key-value pair type. Each key-value pair is considered a row in the store while the column family is similar to a table in the relational database model.</p> <h3>Column-family table data stores</h3> <ul> <li> <p>Apache <a href="https://hbase.apache.org/">HBase</a></p> </li> <li> <p>Apache <a href="http://cassandra.apache.org/">Cassandra</a></p> </li> </ul> <h2>Graph</h2> <p>A graph database represents and stores data in three aspects: nodes, edges and properties. </p> <p>A <em>node</em> is an entity, such as a person or business. </p> <p>An <em>edge</em> is the relationship between two entities. For example, an edge could represent that a node for a person entity is an employee of a business entity. </p> <p>A <em>property</em> represents information about nodes. For example, an entity representing a person could have a property of "female" or "male".</p> <h3>Graph data stores</h3> <ul> <li> <p><a href="http://www.neo4j.org/">Neo4j</a> is one of the most widely used graph databases and runs on the Java Virtual Machine stack.</p> </li> <li> <p><a href="https://github.com/google/cayley">Cayley</a> is an open source graph data store written by Google primarily written in Go.</p> </li> <li> <p><a href="http://thinkaurelius.github.io/titan/">Titan</a> is a distributed graph database built for multi-node clusters.</p> </li> </ul> <h3>Graph data store resources</h3> <ul> <li><a href="http://www.slideshare.net/maxdemarzi/introduction-to-graph-databases-12735789">Introduction to Graph Databases</a> covers trends in NoSQL data stores and compares graph databases to other data store types.</li> </ul> <h2>NoSQL third-party services</h2> <ul> <li><a href="http://www.mongohq.com/home">MongoHQ</a> provides MongoDB as a service. It's easy to set up with either a standard LAMP stack or on Heroku.</li> </ul> <h2>NoSQL data store resources</h2> <ul> <li> <p><a href="http://www.thoughtworks.com/insights/blog/nosql-databases-overview">NoSQL databases: an overview</a> explains what NoSQL means, how data is stored differently than in relational systems and what the Consistency, Availability and Partition-Tolerance (CAP) Theorem means.</p> </li> <li> <p><a href="http://natishalom.typepad.com/nati_shaloms_blog/2010/10/nocap.html">CAP Theorem overview</a> presents the basic constraints all databases must trade off in operation.</p> </li> <li> <p>This post on <a href="http://jeffknupp.com/blog/2014/09/01/what-is-a-nosql-database-learn-by-writing-one-in-python/">What is a NoSQL database? Learn By Writing One in Python</a> is a detailed article that breaks the mystique behind what some forms of NoSQL databases are doing under the covers.</p> </li> <li> <p>The <a href="http://blog.thislongrun.com/2015/03/the-cap-theorem-series.html">CAP Theorem series</a> explains concepts related to NoSQL such as what is ACID compared to CAP, CP versus CA and high availability in large scale deployments.</p> </li> <li> <p><a href="http://www.nosqlweekly.com/">NoSQL Weekly</a> is a free curated email newsletter that aggregates articles, tutorials, and videos about non-relational data stores.</p> </li> <li> <p><a href="http://kkovacs.eu/cassandra-vs-mongodb-vs-couchdb-vs-redis">NoSQL comparison</a> is a large list of popular, BigTable-based, special purpose, and other datastores with attributes and the best use cases for each one.</p> </li> </ul> <h2>NoSQL data stores learning checklist</h2> <ol> <li> <p>Understand why NoSQL data stores are better for some use cases than relational databases. In general these benefits are only seen at large scale so they may not be applicable to your web application.</p> </li> <li> <p>Integrate Redis into your project for a speed boost over slower persistent storage. Storing session data in memory is generally much faster than saving that data in a traditional relational database that uses persistent storage. Note that when memory is flushed the data goes away so anything that needs to be persistent must still be backed up to disk on a regular basis.</p> </li> <li> <p>Evaluate other use cases such as storing transient logs in a document-oriented data store such as MongoDB.</p> </li> </ol> <h3>What do you want to learn about next?</h3> <div class="row"> <div class="col-md-4"> <div class="well select-next"> <a href="/databases.html" class="btn btn-success btn-full"><svg width="28" height="30" viewBox="0 0 1792 1792" xmlns="http://www.w3.org/2000/svg"><path d="M1168 1216q0 33-23.5 56.5t-56.5 23.5-56.5-23.5-23.5-56.5 23.5-56.5 56.5-23.5 56.5 23.5 23.5 56.5zm256 0q0 33-23.5 56.5t-56.5 23.5-56.5-23.5-23.5-56.5 23.5-56.5 56.5-23.5 56.5 23.5 23.5 56.5zm112 160v-320q0-13-9.5-22.5t-22.5-9.5h-1216q-13 0-22.5 9.5t-9.5 22.5v320q0 13 9.5 22.5t22.5 9.5h1216q13 0 22.5-9.5t9.5-22.5zm-1230-480h1180l-157-482q-4-13-16-21.5t-26-8.5h-782q-14 0-26 8.5t-16 21.5zm1358 160v320q0 66-47 113t-113 47h-1216q-66 0-113-47t-47-113v-320q0-25 16-75l197-606q17-53 63-86t101-33h782q55 0 101 33t63 86l197 606q16 50 16 75z" fill="#fff"/></svg></a> <p class="under-btn">Tell me about standard relational databases.</p> </div> </div> <div class="col-md-4"> <div class="well select-next"> <a href="/deployment.html" class="btn btn-success btn-full"><svg width="28" height="30" viewBox="0 0 1792 1792" xmlns="http://www.w3.org/2000/svg"><path d="M1792 640q0 26-19 45l-512 512q-19 19-45 19t-45-19-19-45v-256h-224q-98 0-175.5 6t-154 21.5-133 42.5-105.5 69.5-80 101-48.5 138.5-17.5 181q0 55 5 123 0 6 2.5 23.5t2.5 26.5q0 15-8.5 25t-23.5 10q-16 0-28-17-7-9-13-22t-13.5-30-10.5-24q-127-285-127-451 0-199 53-333 162-403 875-403h224v-256q0-26 19-45t45-19 45 19l512 512q19 19 19 45z" fill="#fff"/></svg></a> <p class="under-btn">I've built a Python web app, now how do I deploy it?</p> </div> </div> <div class="col-md-4"> <div class="well select-next"> <a href="/application-programming-interfaces.html" class="btn btn-success btn-full"><svg width="28" height="30" viewBox="0 0 1792 1792" xmlns="http://www.w3.org/2000/svg"><path d="M1792 1184v192q0 13-9.5 22.5t-22.5 9.5h-1376v192q0 13-9.5 22.5t-22.5 9.5q-12 0-24-10l-319-320q-9-9-9-22 0-14 9-23l320-320q9-9 23-9 13 0 22.5 9.5t9.5 22.5v192h1376q13 0 22.5 9.5t9.5 22.5zm0-544q0 14-9 23l-320 320q-9 9-23 9-13 0-22.5-9.5t-9.5-22.5v-192h-1376q-13 0-22.5-9.5t-9.5-22.5v-192q0-13 9.5-22.5t22.5-9.5h1376v-192q0-14 9-23t23-9q12 0 24 10l319 319q9 9 9 23z" fill="#fff"/></svg></a> <p class="under-btn">What are web application programming interfaces (APIs)?</p> </div> </div> </div><div id="mc_embed_signup"> <form action="//mattmakai.us2.list-manage.com/subscribe/post?u=b7e774f0c4f05dcebbfee183d&id=b22335388d" method="post" id="mc-embedded-subscribe-form" name="mc-embedded-subscribe-form" class="validate" target="_blank" novalidate> <div id="mc_embed_signup_scroll"> <h4>Sign up here to receive an email with major updates to this site and Python tutorials delivered to your inbox once a month.</h4> <div class="row"> <div class="col-md-9"> <input type="email" value="" name="EMAIL" class="email form-control" id="mce-EMAIL" placeholder="email address" required> <div style="position: absolute; left: -5000px;"><input type="text" name="b_b7e774f0c4f05dcebbfee183d_b22335388d" tabindex="-1" value=""></div> </div> <div class="col-md-3"> <div class="clear"><input type="submit" value="Subscribe" name="subscribe" id="mc-embedded-subscribe" class="btn btn-success" style="font-family: 'Helvetica Neue';"></div> </div> </div> </div> </form> </div> </div> <div class="col-md-offset-1 col-md-3" id="sidebar"> <div class="panel panel-success"> <div class="panel-body"> <a href="http://www.deploypython.com/"><img src="//static.fullstackpython.com/fsp-deployment-guide.png" alt="The Full Stack Python Guide to Deployments" width="100%"></a> <p style="font-size: .8em; margin-top: 10px;">Searching for a complete, step-by-step deployment walkthrough? 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