For decades Relational database (RDBMS), like SQL, has been dominating the industry as the primary model for database management. However with the rise of social networks and million entry databases, non-relational “NoSQL” databases are gaining prominence as an alternative model for database management. However the debate is on whether NoSQL database management style is better or not. The rivalry between SQL and NoSQL is already legendary comparable to C,C++, PHP or Python. NoSQL technology was pioneered by leading internet companies — including Google, Facebook, Amazon, and LinkedIn — to overcome the limitations of a 40-year-old relational database technology for use with modern web applications. Today, small to large scale enterprises alike are implementing NoSQL databases for a growing number of use cases, a choice that is driven by four latest interrelated megatrends: Big Users, Big Data, the Internet of Things, and Cloud Computing. In defense of SQL technology there is only one statement: Tried, tested and fully known. Relational databases, as said earlier, went through trial by fire for a period of 40 years, and survived. It has its own uses but it has its own short comings. Lets look at the few. 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 Data Storage Model SQL: Individual records (e.g., “employees”) are stored as rows in tables, with each column storing a specific piece of data about that record (e.g., “manager,” “date hired,” etc.), much like a spreadsheet. Separate data types are stored in separate tables, and then joined together when more complex queries are executed. For example, “offices” might be stored in one table, and “employees” in another. When a user wants to find the work address of an employee, the database engine joins the “employee” and “office” tables together to get all the information necessary. NoSQL: Varies based on database type. For example, key-value stores function similarly to SQL databases, but have only two columns (“key” and “value”), with more complex information sometimes stored within the “value” columns. Document databases do away with the table-and-row model altogether, storing all relevant data together in single “document” in JSON, XML, or another format, which can nest values hierarchically. Database Schema SQL: Structure and data types are fixed in advance. To store information about a new data item, the entire database must be altered, during which time the database must be taken offline. NoSQL: Typically dynamic. Records can add new information on the fly, and unlike SQL table rows, dissimilar data can be stored together as necessary. For some databases (e.g., wide-column stores), it is somewhat more

1. Which is a Better Database?
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2. SQL or NoSQL: Which is a Better Database for App Development
For decades Relational database (RDBMS), like SQL, has
been dominating the industry as the primary model for
database management.
support@algoworks.com Toll Free : +1-877-284-1028
However recently, non-relational
“NoSQL” databases are gaining
prominence as an alternative model
for database management.

3. 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, support@algoworks.com Toll Free : +1-877-284-1028

4. SQL or NoSQL: Which is a Better Database for App Development
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....
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5. SQL or NoSQL: Which is a Better Database for App Development
... hence came the Pioneers of NoSQL technology
... And more
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6. The major differences
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7. NoSQL Vs SQL: The major differences
SQL: Developed in 1970s to deal with first wave of data storage applications
HISTORY
NoSQL: Developed in 2000s to deal with
limitations of SQL databases, particularly
concerning scale, replication and
unstructured data storage
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8. NoSQL Vs SQL: The major differences
SQL:
• Individual records are stored as rows in tables.
• Separate data types are stored in separate tables, and then joined together.
DATA STORAGE MODEL
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.
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9. NoSQL Vs SQL: The major differences
SQL: Structure and data types are fixed in advance. To store information about a new data
item, the entire database must be altered.
DATABASE SCHEMA
NoSQL: Records can add new information on the fly,
and unlike SQL table rows, dissimilar data can be
stored together as necessary.
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10. NoSQL Vs SQL: The major differences
SQL: Mix of open-source (e.g., Postgres, MySQL) and closed source (e.g., Oracle
Database)
DEVELOPMENT MODEL
NoSQL: It is completely Open-source but enterprise-ready
NoSQL solutions are only provided by startups
and relatively new companies.
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11. NoSQL Vs SQL: The major differences
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)
Data Manipulation
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.
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12. NoSQL Vs SQL: The major differences
SQL: Has to be scaled vertically, meaning a single server must be
made increasingly powerful in order to deal with increased demand.
Scalability
NoSQL: Has to be scaled horizontally, meaning that
to add capacity, users can simply add more commodity
servers or cloud instances.
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13. NoSQL Vs SQL: The major differences
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
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.
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14. NoSQL
Limitations of NoSQL
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15. NoSQL: Main Limitations
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MATURITY
NoSQL alternatives and solutions are still in
nascent and pre-production stages and many
key features are yet to be implemented.

16. NoSQL: Main Limitations
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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.

17. NoSQL: Main Limitations
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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.

18. NoSQL
The Rising Star
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19. 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.
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20. 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.
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21. THANK YOU
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database-for-app-development/
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