SQL vs NoSQL | MySQL vs MongoDB Tutorial | Edureka

What is SQL?
WHAT is NoSQL?
SQL vs NoSQL
MySQL vs MongoDB
www.edureka.co/mysql-dba

SQLisastandardlanguagewhichstandsforStructuredQueryLanguage.SQListhecoreofrelationaldatabaseandis
usedforaccessingandmanagingdatabase.
WhatisSQL?
EmpID EmpFname EmpLname
ProjectID ProjName ProjDate ClientID CFname CLname
DatabaseStructure

WhatisSQL?
SELECT EmpID, EmpName FROM Employee;
SQLKeywords Parameters
SQLQuery

WhatisSQL?
RelationshipsinSQL
One–One
Relationship
One–Many
Relationship
Many–Many
Relationship
Self-Refencing
Relationship

NoSQL,knownasNotonlySQLdatabase,providesamechanismforstorageandretrievalofdataandisthenext
generationdatabase.Ithasnospecificschemaandcanhandlehugeamountofdata.
WhatisNoSQL?
Database
Collections
Documents
Employee_Info
Employee Projects
{EmpID:1,EmpFname:‘Swatee’}
{EmpID:2,EmpFname:‘Aayushi’}
{ProjectID:1,ProjName:‘Proj1’}
{ProjectID:2,ProjName:‘Proj2’}
DatabaseStructure

NoSQL,knownasNotonlySQLdatabase,providesamechanismforstorageandretrievalofdataandisthenext
generationdatabase.Ithasnospecificschemaandcanhandlehugeamountofdata.
WhatisNoSQL?
NoSpecific
Schema
NoQuery
Language
NooraFew
Relationships

SQL vs
NoSQL
BASE PROPERTIES
EXTERNAL SUPPORT
HIERARCHIAL DATA STORAGE
SCALABILITY
DATABASE CATEGORIES
Complex QUERIES
Type of Database
SCHEMA
LANGUAGE
ONLINE PROCESSING

RELATIONAL
DATABASE
NON-RELATIONAL
DATABASE

PRE–DEFINED
SCHEMA
DYNAMIC
SCHEMA

TABLEBASEDDATABASES DOCUMENTDATABASES
KEYVALUESTORES
GRAPHSTORES
WIDECOLUMNSTORES

GOODFOR
COMPLEXQUERIES
NOTAGOODFITFOR
COMPLEXQUERIES

NOTABESTFIT FITSBETTERWHENCOMPAREDTO
SQL
As it uses key-value pair way
of storing data.
As it uses tables to store
data.

VERTICALLYSCALABLE HORIZONTALLYSCALABLE
IncreaseRAM,CPUona
singleserver.
Addmoreserversintothe
clusterofservers.

HASASPECIFICLANGUAGE NOSPECIFICLANGUAGE
Doesnotvaryfromadatabase-to-
database.
Variesfromadatabase-to-database.
Structured Query Language Unstructured Query Language

BestFitForHeavyTransactionalType
Applications
CanBeUsedForTransactionalTypeApplications,
But,IsNotStableForHighLoadApplications.
MainlyUsedForOLAP
(OnlineAnalyticalProcessing)
MainlyUsedForOLTP
(OnlineTransactionalProcessing)

Atomicity
Consistency
Isolation
Durability
A
C
I
D
CAP Theorem
C
A
P
ACID Properties
Consistency
Availability
Partition Tolerance

ExcellentSupportisprovided
byallSQLvendors
Youhavetorelyoncommunity
support
Onlylimitedexpertsavailable.

Examples
of SQL &
NoSQL
Example of NoSQL
Example of SQL

MySQLisanopen-sourcerelationaldatabasemanagementsystemthatworksonmanyplatforms.Itprovidesmulti-
useraccesstosupportmanystorageenginesandisbackedbyOracle.So, youcanbuyacommerciallicenseversion
fromOracletogetpremiumsupportservices.
MySQL
Comprehensive
Application Development
Open Source & 24 * 7
Support
Scalability & Flexibility
High Availability High Performance
Secure Data
Protection
Ease of Management
Robust Transactional
Support
Low Total Cost Of
Ownership

MongoDBisanon-relationaldatabasewhichstoresdataasdocumentsinabinaryrepresentationcalledBSON(Binary
JSON).ThiskindofdatabasestoresrelatedinformationtogetherforfastqueryaccessthroughtheMongoDBquery
language.
MongoDB
Indexing Replication Ad-hoc Queries
Schema less Sharding

MySQL vs
MongoDB
USAGE
ACTIVE COMMUNITY
PERFORMANCE
Support
RELATIONSHIPS
SECURITY
QUERY LANGUAGE
FLEXIBILITY OF SCHEMA
KEY FEATURES
REPLICATION

UsesUnstructuredQuery
Language
UsesStructuredQuery
Language
INSERT INTO employees (employee_id,
empage)
VALUES (‘abc001’, ‘23')
db.employees.insert({
employee_id: ‘abc001',
age: 23,
})

NoRestrictionsonSchemaDesignPre-definedSchemaDesign

SupportsJOIN
statements
Doesn’tsupport JOIN
statements
Supportsmulti-dimensionaldata
typesandEmbeddedDocuments

Privilege-basedsecuritymodel Role-basedaccesscontrolwitha
flexiblesetofprivileges
Authenticatesauserandfacilitates
itwithuserprivileges onaparticular
database
Providesauthentication,auditing,
andauthorization.

Canhandlelargeunstructured
data.
FasterthanMySQLSlowerthanMongoDB
Cannotcopeupwithun-
structureddata.

ExcellentSupportExcellentSupport
Providessupportforsecurityfixes,
updates,
Providessupportformaintenance
releases,bugfixes,patches,and
updates

Triggers&SSLSupport
Querycaching
Providestextsearchingandindexing
Different storageengineswithvarious
Integratedreplicationsupport
Auto-sharding
In-memoryspeed
Comprehensivesecondaryindexes
Embeddeddatamodelssupport
Nativereplication

Supportsbuilt-inreplication,
sharding,andauto-elections.
Supportsmaster-slave
replication
Multisource replication allowsyouto
replicatefromseveralmastersinparallel.
Usesreplicasetstocreatemultiplecopiesof
thedata.Youcanalsocreateasecondary
database.

Bestfitfordatawithtablesandrows
Frequentupdates
Worksbetterforsmalldatasets
Modifylargevolumeofrecords
Strongdependencyonmulti-row
transactions
Bestfitforunstructureddata
Highwriteloads
Worksbetterforlargedatasets
Dataislocationbased
Highavailabilityinunstable
environment

MySQLdatabaseisownedand
maintainedbytheOracle
Corporation.So,hasagood
activecommunity.
ThecommunityofMySQLis
muchbetterthanthatof
MongoDB.

Well,thereisnoclearwinnerbetweenbothofthem.Thechoiceofdatabasecompletelydependsupontheschemaof
yourdatabaseandhowyouwishtoaccessit.Nevertheless, youcanuseMySQLwhenyouhaveafixedschemawitha
limitedbudgetandMongoDBwhileyouhaveanunstableschemawithin-builtsharding.
MySQLorMongoDB:Whichoneshouldbusinessgofor?
✓ Fixed Schema
✓ High Transaction
✓ Low Maintenance
✓ Data Security
✓ Limited Budget
✓ Unstable Schema
✓ No Database Administrator
✓ High Availability
✓ Cloud Computing
✓ In-Built Sharding

SQL vs NoSQL | MySQL vs MongoDB Tutorial | Edureka

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SQL vs NoSQL | MySQL vs MongoDB Tutorial | Edureka