Apptivo is a robust sales and marketing platform with features such as lead management, an opportunity pipeline with attractive dashboards, campaign management, and flexible workflow capabilities such as marketing automation.
MongoDB Realm is a development platform designed for modern, data-driven applications. You can use Realm to build mobile, web, desktop, and IoT.
MongoDB Realm IntegrationsApptivo + MongoDB Realm
Confirm Pending User in MongoDB Realm when New Lead is created in apptivo Read More...Apptivo + MongoDB Realm
Delete Trigger in MongoDB Realm when New Lead is created in apptivo Read More...Apptivo + MongoDB Realm
Enable User in MongoDB Realm when New Lead is created in apptivo Read More...It's easy to connect Apptivo + MongoDB Realm without coding knowledge. Start creating your own business flow.
Trigger when new case created.
Trigger when new contact created.
Trigger when new contract created.
Trigger when new customer created.
Trigger when new employee created.
Trigger when new lead created.
Trigger when new opportunity created.
Trigger when any contact update.
Triggers when a new push notification is created
Triggers when a new service is created
Triggers when a new user is created
Add new employee.
Create a new case.
Creates a new contact.
Creates a new customer.
Creates a new lead.
Creates a new Opportunity.
Confirm a pending user
Create a service
Creates a Trigger
Creates a User
Delete a pus notification
Delete a trigger
Delete a User
Disable a User
Enable a User
Update a trigger
(30 seconds)
(10 seconds)
(30 seconds)
(10 seconds)
(2 minutes)
Apptivo is a cloud-based software as a service (SaaS. application for e-commerce businesses, which allows businesses to manage their customers, products, orders, and inventory more efficiently. Apptivo is designed to meet the growing demands of today’s businesses and has given them a competitive advantage. These features include:
Customer Relationship Management (CRM. – Insightful analytics and reporting to help e-commerce businesses attract and retain new customers.
Product Catalog – A platform for managing product listings on an e-commerce website.
Order Management – Helping merchants stay on top of their shipping and fulfillment process.
Inventory Management – Customized sputions to manage stock and replenishments.
Customer Service – An effective way to respond to customer inquiries and improve customer retention.
MongoDB is a scalable, high performance, and high availability database that stores cplections of documents and provides an extensive set of data manipulation and query operations. MongoDB can be used as a replacement for relational databases such as MySQL, Oracle, PostgreSQL, MS SQL Server, etc., due to its scalability, flexibility, simplicity, reliability, fast performance, etc. MongoDB is highly valued for its ability to offer faster performance at lower cost with less operational complexity. This integration will allow Apptivo to store the customer data into the MongoDB database instead of using the local database to store this data. By doing so, it will improve the efficiency by reducing the number of requests handled by the master database server. This will give a minor boost to the overall performance of the system. It also helps in optimizing the load on the master database server by storing the customer data in the cache memory rather than accessing the master database server constantly for every request for data retrieval. This will help in improving the performance of our system by reducing the number of requests handled by the master database server. By using MongoDB Realm, it will also help in improving system security by eliminating any unauthorized access to the master database server. This feature will also help in keeping all sensitive data secure because it will be stored only in cache memory instead of being stored persistently on the master database server. Thus, this feature will also help in maintaining privacy of the customers’ personal information by keeping it safe from unauthorized access. This feature will also help in improving system efficiency by maintaining consistency across multiple nodes. This feature will also help in improving system efficiency by scaling out across multiple nodes. This feature will also help in improving system efficiency by scaling up across multiple nodes. This feature will also help in improving system efficiency by supporting horizontal partitioning across multiple nodes. This feature will also help in improving system efficiency by supporting sharding across multiple nodes. This feature will also help in improving system efficiency by supporting hot backups across multiple nodes. This feature will also help in improving system efficiency by supporting low latency read operations across multiple nodes. This feature will also help in improving system efficiency by supporting low latency write operations across multiple nodes. This feature will also help in improving system efficiency by supporting consistent distributed transactions across multiple nodes. This feature will also help in improving system efficiency by supporting point-in-time recovery across multiple nodes. This feature will also help in improving system efficiency by handling updates correctly for eventual consistency across multiple nodes. This feature will also help in improving system efficiency by handling deletes correctly for eventual consistency across multiple nodes. This feature will also help in improving system efficiency by handling writes correctly for eventual consistency across multiple nodes. This feature will also help in improving system efficiency by handling reads correctly for eventual consistency across multiple nodes.
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