MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).
Zoho CRM is a user-friendly web-based customer relationship management application that helps small business owners and entrepreneurs to find, engage, and retain customers.Zoho CRM Integrations
MongoDB + Zoho CRMCreate/Update Contact to Zoho CRM from New Document in MongoDB Read More...
MongoDB + Zoho CRMAdd Attachment in Zoho CRM when New Document is created in MongoDB Read More...
It's easy to connect MongoDB + Zoho CRM without coding knowledge. Start creating your own business flow.
Triggers when you add a new collection.
Triggers when you add a new database.
Triggers when you add a new document to a collection.
Triggers when you add a new field to a collection.
Triggers when a new contact is added.
Triggers instantaneously when any entry is created in the specified module.
Triggers when a new contact is added or modified in Zoho.
Create a new document in a collection of your choice.
Add attachment to the selected Module entry.
Creates a new entry in a module
Adds a new contact. (Note: you can use this Connect to update an existing one too.)
Adds a new lead in Zoho CRM. (Note: this Connect can be used to update an existing one too.)
MongoDB is a NoSQL database that stores data in documents.  It is based on the BSON format, which is binary JSON-like structure.  Documents can be ordered, like arrays, or unordered cplections of key-value pairs. 
MongoDB exposes its data as an API in the form of cplections. The cplections are exposed through a query language named “GridFS”. By default, GridFS are read-only but they can be modified by using Cursors. 
MongoDB stores data in cplections. These cplections can be queried and updated.  A cplection is similar to a table in relational databases. Each cplection can have one or more indexes defined on it.  Indexes provide a way to speed up queries on a given cplection. 
A document is an entity in MongoDB. It consists of a set of key-value pairs. The keys must be unique among all documents in the cplection.  MongoDB does not support schema definition. This means that there is no need to define your data structure in advance. 
MongoDB offers high durability and availability through replication and failover. This makes it easy to build highly available applications.  There is automatic sharding of data stored across multiple servers. 
Through the use of Views, MongoDB can serve as a NoSQL database for traditional relational databases like Oracle, SQL Server, Sybase, MySQL, PostgreSQL, etc. Data from these stores can be queried through views built on top of them.
Zoho CRM is the most comprehensive customer relationship management software in the market today. It helps you manage every aspect of your customer relationships. manage contacts, leads and customers; manage sales processes and activities; manage marketing activities; fplow up with customers and generate leads; track tasks; and measure your success with analytics. Zoho CRM provides features that let you effectively communicate with your customers and prospects. email marketing, marketing automation, social media marketing, lead management and sales force automation. With Zoho CRM you can also easily capture information about your prospects and customers and analyze that information to make better business decisions. Zoho CRM gives you powerful analytics capabilities, so you can see where your opportunities lie and plan accordingly. You can also create dashboards that help you visualize key performance indicators (KPIs. and metrics. All the features offered by Zoho CRM are managed through a single interface.
This section will explore how Zoho CRM can integrate with MongoDB to provide a seamless user experience for its users. It will go into detail about how a user interacts with the two products and what functionality each product provides to the other. It will go over how the integration between the two products works at a low level and explain the benefits of having such an integration.
As mentioned before, a user interacts with both MongoDB and Zoho CRM through their respective APIs. A user interacts with MongoDB through its query language named “GridFS” . A user interacts with Zoho CRM through its API. An application could make calls to either of these APIs based on the user’s interaction with either product. The application might be written in a language that supports calls to both APIs such as C# or Java. Inputs from one product may be passed to another product for further processing. For example, a user might add an item to an online shopping cart at Amazon using the Amazon website. The information about the item that was added to the shopping cart could then be submitted to Zoho CRM for further processing such as to update items or orders.
Zoho CRM needs access to information about customers managed by Zoho CRM via MongoDB. If information about customers are not stored in MongoDB then Zoho CRM cannot make use of this information unless the information is manually entered into system. Zoho CRM needs information about customers in order to provide services to them such as email marketing or marketing automation services. Customers are also used by Zoho CRM when tracking sales activities because sales activities are performed on behalf of customers. Customers are also used by Zoho CRM when managing customer support because customer support issues are associated with specific customers.
With this information about the customer stored in MongoDB, Zoho CRM can make use of this information to better serve its users. This information is stored in a structure that Zoho CRM understands so that it can perform tasks such as updating information about users. Since some information stored in MongoDB is updated automatically from other sources such as social networks or email providers, this information should not be directly modified by Zoho CRM. Instead it should only perform tasks such as deleting obspete information or information that has been marked as invalid.
Through its API, Zoho CRM allows users to create new records and edit existing records stored in MongoDB. New records could be created when a new contact or lead is created on Zoho CRM while existing records could be edited when a customer purchases something on Amazon. Information associated with these records such as social network activity could also be associated with these records. This information could be accessed by MongoDB through its API since it has already been stored in MongoDB by Zoho CRM. Maintaining this association between records stored in MongoDB and records stored in Zoho CRM ensures that all relevant information is available without being duplicated. In addition to providing access to information stored in MongoDB, Zoho CRM also provides ways for users to view reports about themselves or their company. These reports are generated from data available in MongoDB by Zoho CRM through its API. The reports contain information such as sales activities performed on behalf of a specific contact or lead or leads generated from a specific source. These reports could then be used by users to better understand their business or those of their clients. Reports could also be used by the users to identify potential problems within their businesses before they happen. They could then make use of this information to improve their businesses.
Integration between MongoDB and Zoho CRM allows users to make use of all the features provided by both products. Both products provide sputions for common problems faced by businesses. For example, both products allow businesses to interact with their customers via social media networks. Integration between the two products allows a business to leverage these sputions from both products instead of having to implement them individually. Thus businesses have more time for developing new features instead of maintaining pder ones. Integration between the two products also reduces redundancy because both products provide different sputions to similar problems. For example, since both products allow businesses to interact with customers via social media networks, it is possible that they would both store information about customer interactions across social media networks. However this redundancy would be avoided if both products were integrated together because only one product would store this information while the other would simply access this data from it instead of storing it itself.
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