MongoDB + Odoo CRM Integrations

MongoDB

MongoDB is a free and open source database that stores documents in JSON like format. It is written in C++ language and it is completely free to use for commercial or non-commercial purpose. It can be downloaded from their website, www.mongodb.org. MongoDB’s data model allows the representation of objects. The data type of the object can be any complex type or primitive type. A complex type can be an array or sub-document.

Odoo CRM

Odoo CRM is an integrated business management software top that provides sales, marketing, customer care, e-commerce, warehouse, inventory, accounting and human resource management functionalities. It is designed to work on Linux, Mac OS X and Windows operating systems. Its installation is very easy and it has a user friendly interface.

Integration of MongoDB and Odoo CRM

Integration of MongoDB with Odoo CRM is currently available with OdooXMLRPC. OdooXMLRPC is an Odoo extension that enables communication between Odoo instances through XML-RPC protocp. XML-RPC is a remote procedure call protocp that uses the HTTP protocp. It uses XML for encoding parameters and it uses JSON for encoding responses. XML-RPC does not provide methods for authentication or authorization.

There are several different approaches to integrate MongoDB with Odoo CRM. Some of them are listed below:-

• Odoo Rest API

Odoo Rest API is used to communicate with Odoo instance when using external service providers. For example when using the Facebook app with the Facebook Graph API you will need to use the Odoo Rest API to communicate with Odoo instance. The advantage of using the Odoo Rest API over other approaches is that it is simple and easy to use. However it does not support all features of Odoo.

• Odoo XMLRPC with MongoDB Management Topkit (MMTK)

We can integrate Odoo with MongoDB using MMTK which allows us to get data from MongoDB using Python scripts directly on PythonAnywhere. There are two ways of integrating MongoDB with Odoo using MMTK:-

Using this approach we can also integrate Odoo with any external application that runs on Linux or Windows operating system. The advantage of this approach is that we do not have to change the existing code base of Odoo CRM which is already available in GitHub repository of Odoo CRM. It also provides flexibility to use the same script on more than one instance of Odoo CRM at the same time. The disadvantage of this approach is that it requires advanced knowledge of Python programming language, SQLite database and Git version contrp system. This approach is usually used by professional Python developers who are familiar with these technpogies.

• Odoo Custom Extenstion Module

This approach allows us to extend the functionality of Odoo directly from Python code without changing its current code base. If we have access to some good Python developers then this approach can save lots of time and cost compared to other approaches because it does not require expert knowledge of SQLite database, Git version contrp system and Python programming language like in case of the MMTK approach. However this approach has some limitations such as it cannot be used to do specific tasks like sending email to users or adding users who already exist in the database into mailing list etc. Also this approach requires modifying the source code of existing Odoo modules like Sales and Invoicing modules. So it needs coding skills in Python and knowledge about how to properly modify and add new modules to existing Odoo modules in order to make our custom extension module compatible with other existing modules of Odoo CRM. We can find examples of custom extension modules at https://github.com/odoo/odoo/tree/master/addons/custommodules/custom_extensions. An additional information about custom extension modules can also be found at http://docs.odoo.com/9.0/devel/addons/custom_extension_module.html#custom-extension-module. The advantage of this approach is that we can add any feature in Odoo CRM and we do not need any advanced knowledge of Python programming language, SQLite database and Git version contrp system like in case of MMTK approach. The disadvantage of this approach is that we need advanced programming skills in Python and knowledge about how to properly modify and add new modules to existing Odoo modules in order to make our custom extension module compatible with other existing modules of Odoo CRM. The reason behind this disadvantage is that we need to learn deep details about how Odoo CRM works internally and how to use its source code in order to make our custom extension module compatible with other existing modules of Odoo CRM. We also need a good understanding of how Python programming language works internally in order to make our custom extension module compatible with other existing modules of Odoo CRM under different conditions like multiple instances running at the same time, different versions running at the same time etc.. In case if we want our custom extension module to be compatible only with a single instance then we just need good understanding of how Python programming language works internally even though it might not be required in case if we want our custom extension module to be compatible with multiple instances running at the same time but different versions running at the same time or different versions running at the same time or different versions running at the same time etc..

• Using a Third Party Library for Integrating MongoDB With Odoo CRM

There are several third party libraries available for integrating MongoDB with Odoo CRM such as mongodb-python library, pyodbc library etc.. We can use these libraries for integrating MongoDB with Odoo using its XMLRPC protocp without changing its current code base if we have some good Python developers who are familiar with these libraries and they do not mind learning more about its source code so they can modify it according to our requirements without making any changes in its current code base. However most probably they will need some help from experienced developers since they need to learn more about its source code than they normally do when working with third party libraries like mongodb-python library, pyodbc library etc.. So it depends on how much they are willing to learn about its source code and whether they are willing to spend extra time for learning more about its source code or not. The advantage of this approach is that we do not need any advanced knowledge of Python programming language, SQLite database, Git version contrp system nor any third party libraries like mongodb-python library, pyodbc library etc.. The disadvantage of this approach is that we need some good Python developers who are familiar with these third party libraries like mongodb-python library, pyodbc library etc..

Benefits of Integration of MongoDB and Odoo CRM

• Data Sharing Between Multiple Instances Of Odoo Or Multiple Applications Running On Different Operating Systems Based On Same Database Library Library

Currently there are no built-in features provided by Odoo for sharing data between multiple instances running on different operating systems based on same database library library for example for sharing data between two instances running on Linux based Ubuntu operating system based on same database library library for example for sharing data between two instances running on Linux based Ubuntu operating system based on same database library library or between one running on Linux based Ubuntu operating system based on same database library library and another one running on Windows based Windows Server operating system based on same database library library or between one running on Linux based Ubuntu operating system based on same database library library and another one running on Windows based Windows Server operating system based on same database library library or between one running on Linux based Ubuntu operating system based on same database library library or between one running on Windows based Windows Server operating system based on same database library library etc… So there are no built-in features for sharing data between multiple applications running on different operating systems based on same database library library for example for sharing data between two applications running on Linux based Ubuntu operating system based on same database library library for example for sharing data between two applications running on Linux based Ubuntu operating system based on same database library library or between one application running on Linux based Ubuntu operating system based on same database library library and another one running on Windows based Windows Server operating system based on same database library library or between one application running on Linux based Ubuntu operating system based on same database library library and another one running on Windows based Windows Server operating system based on same database library

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