Despite
being a relatively new player in the data storage arena, MongoDB has
become hugely popular as a cloud era database. The NoSQL database is
further designed with features to complement big data storage and
faster query. A number of recent reports have highlighted how MongoDB
has made the Python programmers’ life easier by allowing them to
use document as a basic storage unit. The Python programmers can
store all data as a document to accomplish enhanced performance and
scalability. There are also a number of reasons that makes MongoDB
the best database option for developing big data applications using
Python.
Benefits
of Using MongoDB with Python
Single
Document Model: The key value based design of MongoDB makes it
easier for it to scale out. Like other NoSQL databases, MongoDB also
use document as a basic storage unit in a manner similar to a simple
JSON object. The document model enables developers to save the data
as a single document while treating them as a whole. So the database
queries need to be written by targeting a single document that can be
identified by its id. As the key value queries work much faster that
the relational queries, MongoDB delivers enhanced performance by
denormalizing the database structure.
Flexible
Schema: Along with delivering enhanced performance, the document
model further simplifies complex software development. The document
does not support some of the common relational database concepts like
SQL, tables, rows and schema. It also allows the application to
create schema on the fly to add any number of fields to the existing
document or MongoDB collection. MongoDB further rearranges and
distributes the data evenly whenever the data on particular node
exceed the threshold.
No
Support for Join Operation and Transaction: MongoDB further does
not support transaction or join operations to deliver scalability and
performance. As the NoSQL database does not support transaction, the
enhanced scalability allows enterprises to balance the load by using
inexpensive hardware. However, MongoDB overcomes the lack of
transaction support by supporting atomic increment and decrement
operations. As all data is stored as a single document, the
programmers are not required to use join operations to combine
statements. The feature makes it easier for them to scale
horizontally. The Python programmers can still use join operations to
combine multiple queries.
Saves
RAM: Unlike relational databases, MongoDB uses memory mapped
files. These files allow the caching to be handled by the operating
system. So the virtual memory provided by the operating system and
hardware will determine the database size. The user also has option
to use additional hardware to extend the size of its database.
However, the use of memory mapped files makes MongoDB unsuitable for
storing serious data on a 32bit machine. The user must increase the
size of virtual memory to prevent the insertion of data from failing.
MongoDB
Management Solutions: A user also has option to use customized
MongoDB management solutions for public clouds. These solutions make
it easier for businesses to deploy and manage enterprise applications
without creating any expensive environment. Some of these solutions
are even designed with features to run both Python server and MongoDB
server on the same machine. The users can use these solutions to
create and test Mongo and python code without investing in additional
automation tools.
The
Python developers can further use MongoDB 2.6 to avail several new
features along with enhanced performance and reliability. The most
recent version of MongoDB further comes with a completely rewritten
query execution engine to deliver enhanced scalability. Further, the
enhanced security, integration and analytics features of MongoDB 2.6
make it easier for developers to deploy enterprise Python
applications in a simple and elegant way.You can get in touch
with a custom
python development company
who can help you develop web apps that are stable, scalable and
secure.
We
provide Python
development
services. If you would like hire
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for your development needs, please contact us at Mindfire Solutions.
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