sql or nosql: which is a better database for app development

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Which is a Better Database?


For decades Relational database (RDBMS), like SQL, has

been dominating the industry as the primary model for

database management.

However recently, non-relational

“NoSQL” databases are gaining

prominence as an alternative model

for database management.

SQL or NoSQL: Which is a Better Database for App Development


To SQL, or NoSQL, that is the question,Whether ’tis Nobler in thou mind to suffer,the complexities and confusions of outrageous database Relations,Or to taketh Arms against a Sea of ID troubles,[email protected] Toll Free : +1-877-284-1028



In defense of SQL technology there is

only one statement:

SQL went through trial by fire and has

survived for 40 Years

Of the many limitations of relational

database technology, it was realized

there is a need for something new....



... hence came the Pioneers of NoSQL technology

... And more


The major differences


NoSQL Vs SQL: The major differences

HISTORY

SQL: Developed in 1970s to deal with first wave of data storage applications

NoSQL: Developed in 2000s to deal with

limitations of SQL databases, particularly

concerning scale, replication and

unstructured data storage



SQL:

• Individual records are stored as rows in tables.

• Separate data types are stored in separate tables, and then joined together.

NoSQL: Varies based on database type. For

example, key-value stores function similarly to SQL

databases, but have only two columns (“key” and

“value”).

Document databases do away with the table-and-row

model altogether, storing all relevant data together in

single “document” which can nest values hierarchically.

DATA STORAGE MODEL



SQL: Structure and data types are fixed in advance. To store information about a new data

item, the entire database must be altered.

NoSQL: Records can add new information on the fly,

and unlike SQL table rows, dissimilar data can be

stored together as necessary.

DATABASE SCHEMA



SQL: Mix of open-source (e.g., Postgres, MySQL) and closed source (e.g., Oracle

Database)

NoSQL: It is completely Open-source but enterprise-

ready NoSQL solutions are only provided by startups

and relatively new companies.

DEVELOPMENT MODEL



SQL: Regardless of their licenses, relational databases all implement the SQL standard to a

certain degree and thus, they can be queried using the Structured Query Language (SQL)

NoSQL: NoSQL databases each implement a unique

way to work with the data they manage. Therefore data

can be manipulated only through your Database

solution’s API. These APIs are generally object

oriented.

Data Manipulation



SQL: Has to be scaled vertically, meaning a single server must be

made increasingly powerful in order to deal with increased demand.

NoSQL: Has to be scaled horizontally, meaning that

to add capacity, users can simply add more commodity

servers or cloud instances.

Scalability



SQL: Relational database management systems have decade’s

long history. They are extremely popular and it is very easy to find

both free and paid support

NoSQL: Open-source versions of NoSQL databases

are complex to implement.

However since they are built using APIs of popular

languages only conceptual issues arises instead of

technical ones.

SUPPORT


NoSQL Limitations of NoSQL


NoSQL: Main Limitations

MATURITY

NoSQL alternatives and solutions are still in

nascent and pre-production stages and many

key features are yet to be implemented.



SUPPORT

In contrast, NoSQL system support is provided

by small start-up companies without the global

reach, resources, or credibility of Oracle,

Microsoft, or IBM- the big names associated

with SQL.

Customer support is also better in RDBMS

systems like SQL and vendors provide a

higher level of enterprise support.



DIFFICULTY

It is much easier to code an SQL query, but in NoSQL even

a simple query requires significant programming expertise.

Also commonly used BI tools do not provide

click and view query features to NoSQL. Infact

most BI tools don't even have facility to

connect with modern NoSQL databases.


NoSQL The Rising Star


NoSQL: The Rising Star

NoSQL databases were conceptualized and developed specifically to

meet the rising demands of latest Web 2.0 applications.

It was designed to meet the

database handling demands of

applications using million-entry-

databases.


NoSQL: The Rising Star

Gone are the days when handling the database of million

entries was the domain of pricey large scale enterprise level

database solutions.

A mere startup can now do that, and more efficiently too.

As the field matures we will see better

solutions. One is already

making waves, MongoDB.

THANK YOU

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better-database-for-app-development/

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