Battle of NoSQL stars: Amazon's SDB vs MongoDB vs CouchDB vs RavenDB

BATTLE OF THE NO-SQL STARS CouchDB, MongoDB, Amazon SDB, RavenDB

WHO IS THIS GUY? Jesse Wolgamott (Nobody, Really) Team Merrica Lead Developer ChaiOne, Houston http://jessewolgamott.com

OUR STARS CouchDB: Apache Project, Circa 2007‘ish MongoDB: 10Gen, Circa 2009 SimpleDB: Amazon, Circa 2007 RavenDB: Ayenda, Circa 2010

EVIL NUGGET

EVIL NUGGET Document Databases share an internal structure similar (inspired?) by: Lotus Notes. (shudder)

BATTLE PLAN Languages and API Versioning Internal Queries and Inserts Intangibles

THE COOL KID

APIS CouchDB: Erlang, REST API MongoDB: C++, Language Driver RavenDB: .NET, REST API SimpleDB: Erlang, Name/ Value Store

API: COUCHDB POST /somedatabase/ HTTP/1.0 Content-Length: 245 Content-Type: application/json { "Subject":"I like Plankton", "Author":"Rusty", "PostedDate":"2006-08-15T17:30:12-04:00", "Tags":["plankton", "baseball", "decisions"], "Body":"I decided today that I don't like baseball. I like plankton." } ----------------- GET /somedatabase/some_doc_id HTTP/1.0 ------------------- HTTP/1.1 200 OK Date: Thu, 17 Aug 2006 05:39:28 +0000GMT Content-Type: application/json Connection: close { "_id":"some_doc_id", "_rev":"946B7D1C", "Subject":"I like Plankton", "Author":"Rusty", "PostedDate":"2006-08-15T17:30:12Z-04:00", "Tags":["plankton", "baseball", "decisions"], "Body":"I decided today that I don't like baseball. I like plankton." }

API: COUCHPOTATO class User include CouchPotato::Persistence property :age, :type => Fixnum property :receive_newsletter, :type => :boolean end CouchPotato.database.save_document User.new

API: MONGODB Mongoid MongoMapper class Person class Person include Mongoid::Document include MongoMapper::Document field :name key :name, String, :required=>true embeds_many :phones many :phones references_many :addresses has_many :addresses end end Person.create {:name=>”Darth Vader”} Person.create {:name=>”Darth Vader”}

MM V GOID Mongoid uses ActiveModel Mongoid uses ARel, MM: (Rails3). custom DSL MongoMapper is more like Mongoid has Master/Slave Rails 2 with Validatable MM is more familiar for MongoMapper has better Active Record relational association support

API: RAVENDB PUT http://localhost:8080/docs/bobs_address { FirstName: 'Bob', LastName: 'Smith', Address: '5 Elm St' } --------------- GET http://localhost:8080/docs/bobs_address --------------- HTTP/1.1 200 OK { "FirstName": "Bob", "LastName": "Smith", "Address": "5 Elm St." } var companies = session.Query<Company>("CompaniesByRegion") .Where(x => x.Region == "Asia") .Take(5);

API: SIMPLEDB Amazon’s Restful... This is rest? Answer: No (IMHO). And returns XML https://sdb.amazonaws.com/?Action=PutAttributes &DomainName=MyDomain &ItemName=Item123 &Attribute.1.Name=Color&Attribute.1.Value=Blue &Attribute.2.Name=Size&Attribute.2.Value=Med &Attribute.3.Name=Price&Attribute.3.Value=0014.99 &AWSAccessKeyId=<valid_access_key> &Version=2007-11-07 &Signature=Dqlp3Sd6ljTUA9Uf6SGtEExwUQE= &SignatureVersion=2 &SignatureMethod=HmacSHA256 &Timestamp=2007-06-25T15%3A01%3A28-07%3A00

SCOREBOARD API Versions Queries Inserts Extras Couch Mongo SDB Raven

VERSIONING Do we rea!y have it?

VERSIONING CouchDB has Multi Versioning Concurrency Control Compaction removes old revs, only the latest rev is represented in view queries, and only the latest revision is replicated. you can only depending on having a single version of the document available. Especially in Multi-Master Mongoid::Versioning (has_many versions) RavenDB - Versioning Built In

VERSIONING CouchDB and Mongoid Mongomapper class Person include Mongoid::Document Roll your Own include Mongoid::Versioning Using many versions as embedded # keep at most 5 versions of a record documents max_versions 5 end RavenDB <appSettings> <add key="Raven/Versioning/MaxRevisions" value="50"/> <add key="Raven/Versioning/Exclude" value="Comments;LogEntries;"/> </appSettings>

QUERIES Gimme Gimme Gimme

QUERIES: COUCH Map/Reduce .. Design Documents Cool Part: Fast! The NotHot: Pre-declaring all your views { "_id":"_design/company", "_rev":"12345", "language": "javascript", "views": { "all": { "map": "function(doc) { if (doc.Type == 'customer') emit(null, doc) }" }, "by_lastname": { "map": "function(doc) { if (doc.Type == 'customer') emit(doc.LastName, doc) }" }, "total_purchases": { "map": "function(doc) { if (doc.Type == 'purchase') emit(doc.Customer, doc.Amount) }", "reduce": "function(keys, values) { return sum(values) }" } } }

QUERY: MONGODB Dynamic Querying Map-Reduce (BUT: non-concurrent) MongoMapper Example Event.where(:school_id=>school.id).published.future.sort(:start.desc).limit(20).all

QUERY: SIMPLEDB No sorting options Obvious comparison operators (=, !=,<=, etc.) RightAWS Interface require 'right_aws' sdb = RightAws::SdbInterface.new(aws_access_key, aws_secret_access_key) sdb.query("picture", "['submitdate' <= '2900'] intersection ['status' = 'approved'] sort 'submitdate'") #parse XML returned

QUERY: RAVENDB MapReduce Indexes Raven process them in the background, executing the queries against the stored documents and persisting the results to a Lucene index Raven executes your indexes in the background, and the results are written to disk. Indexes are written in LINQ

INSERTING Here take this

INSERTS: COUCH Couch DB PUT API is cool. BUT Recalculates the map-reduce on the insertion Slows down over time

INSERTS: MONGO Updates in Place FAST, BUT In Air Collisions Power Turns Off before disk write

INSERTS: BENCHMARK Bulk Insertion Benchmark Data: http://www.snailinaturtleneck.com/blog/2009/06/29/couchdb-vs-mongodb-benchmark/ y-axis: seconds MongoDB CouchDB 40 30 20 10 0 1 10 50 100 500 1000 2500 7500 10000 25000 100000

EXTRAS MongoDBs - Best Ruby CouchDB: Multi-Multi Integration Master (Success!) SimpleDB: Easy Scalability CouchDB: Offline Replication RavenDB: Windows (Downer) CouchDB and MongoDB: Free Levels on Heroku RavenDB: Commercial (Crazy Success) License for non-Open Source (Downer-er)

LITTLE BIT OF CODE MLB 2000-2009 Game Data used in Demo The information used here was obtained free of charge from and is copyrighted by Retrosheet. Interested parties may contact Retrosheet at "www.retrosheet.org". Load Time Experience - 24000‘ish Games Load Time in Seconds Mongo 77.6 seconds Couch 355.1 seconds

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Battle of NoSQL stars: Amazon's SDB vs MongoDB vs CouchDB vs RavenDB

by Jesse Wolgamott on Aug 30, 2010

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