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 python developers for your development needs, please contact us at Mindfire Solutions.
WEB DEVELOPMENT SERVICES 