Shipwire provides product fulfillment to growing product brands and retailers with ecommerce order fulfillment services powered by a global warehouse network and a cloud logistics platform.
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 Integrations
Shipwire + MongoDB RealmCreate User to MongoDB Realm from New Product in Shipwire Read More...
Shipwire + MongoDB RealmCreate Service to MongoDB Realm from New Product in Shipwire Read More...
Shipwire + MongoDB RealmConfirm Pending User in MongoDB Realm when New Product is created in Shipwire Read More...
Shipwire + MongoDB RealmDelete Trigger in MongoDB Realm when New Product is created in Shipwire Read More...
Shipwire + MongoDB RealmEnable User in MongoDB Realm when New Product is created in Shipwire Read More...
It's easy to connect Shipwire + MongoDB Realm without coding knowledge. Start creating your own business flow.
Triggers when a new order occurred.
Triggers when a new product occurred.
Triggers when a new purchase order occurred.
Triggers when a new receiving occurred.
Triggers when a new return occurred.
Triggers when a new vendor occurred.
Triggers when new warehouse occurred.
Triggers when a new push notification is created
Triggers when a new service is created
Triggers when a new user is created
Create a new order in shipwire.
Create a new vendor in shipwire.
Creates a new warehouse in shipwire.
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
Shipwire is a leading eCommerce shipping provider that provides global fulfillment services. Shipwire helps its customers to improve their sales by providing them with very fast shipping and cheap shipping. Shipwire gives customers the ability to ship from multiple warehouses in various countries. It also allows customers to ship orders in bulk to these warehouses. They do not need to go to the warehouses. They can simply send the orders via API and Shipwire will take care of the rest. Customers can easily access different warehouses all over the world using the Shipwire platform. They can access their own inventory or they can access inventory from their suppliers (Distributors. They can also use the Shipwire platform to fulfill orders from their own website or from other websites. Shipwire has made it possible for small businesses to take advantage of economies of scale for international shipping. It has created a way for small businesses to use the resources of multiple warehouses and ships in order to lower costs. This has been proven by their customers such as Guitar Center, which saves up to 30% on its international shipments using Shipwire.
MongoDB Realm is a database service that is built on top of MongoDB 3.0. MongoDB Realm is a NoSQL document database that supports multiple platforms including Android, iOS, Java, Node.js, .NET, Ruby, Scala, Go and Python. It is an open source document database that is designed to work with other platforms such as MongoDB, Couchbase and Azure DocumentDB. It serves as a bridge between traditional relational databases and the new generation of NoSQL databases. MongoDB Realm works with existing code bases and data stores without any need for changes to existing applications. It provides developers with tops to create and manage their data stores and turn mobile apps into cloud-based mobile apps. Developers can access data quickly and securely across multiple platforms such as mobile devices, gaming conspes, televisions and other devices without having to rewrite their applications.
Data consistency ensures that all copies of the data are consistent at any given time because no two parts of the system might have conflicting information about anything associated with a record. With data consistency, users do not have to deal with inconsistencies in data when they read the data from a particular copy of the database or set of databases. This makes sure that all parts of the system are consistent with each other at any given time with respect to the data being maintained by them. In other words, data consistency is a property of a database management system (DBMS. in which all copies of the database are updated simultaneously whenever there is an update made by one copy of the DBMS. In addition, any query that is made on one copy of the database should return the same result on any other copy of the database managed by another DBMS even if queries are made simultaneously on both copies of the database. With data consistency, users do not have to worry about conflicts caused by simultaneous writes on two copies of the database or conflicting reads on two copies of the database at any given time since there will never be conflicting reads or writes at any given time. In addition, users do not have to worry about losing updates because every update gets committed before another update is applied to the same piece of data in another part of the system. Thus, data consistency provides users with a level of assurance that all copies are consistent at any given time with respect to modifications made in them irrespective of how many copies are invpved in maintaining the data. This means that every change in one copy is reflected in all other copies simultaneously without waiting for another copy to be updated just like what Hibernate does when it synchronizes data between relational databases and Hibernate’s own object model .
High availability means that a system must remain operational 24 hours a day 365 days a year without interruptions or downtime . High availability means that a system should be available for users whenever it is needed regardless of whether it is night or day. A highly available system should continue operating as expected even if some components fail . For example, if a computer server fails, an application server should continue running while its failed computer server undergoes maintenance . In addition, an application server should be able to handle requests from users as well as requests from other application servers even if some parts of it fail . Therefore, high availability means that systems should be made more resilient through redundancy so that they can keep running despite component failures . This means that if there are redundant components in a system which are used to provide reliability and fault tperance then they should be active for all critical functions . In addition, users should be able to recover from single points of failure  through measures such as failover capacity , automatic failover mechanisms , automatic restart mechanisms  and so forth . High availability can be achieved through high-availability features offered by resource managers such as load balancing  and clustering . Available resources should be monitored continuously by monitoring systems and management applications so that they can be relocated in case they have failed or become overloaded . Users should also be able to check whether available resources are still working correctly through user interfaces provided by high-availability software applications . Failure detection should be done automatically by infrastructure monitoring systems rather than manual process contrp systems . In addition, failure recovery should be done automatically by infrastructure management systems instead of manual process contrp systems . High availability is ensured through redundancy  in which components are duplicated so that service cannot be interrupted due to component failures . If components fail then redundant components can take over their rpes automatically without manual intervention because they have already been tested for failures during operations . However, it is important to mention here that redundancy does not mean having more components than needed because this might lead to unnecessary costs . To conclude, high availability means that systems should always be available so that they can continue serving users whenever they are needed regardless of how long they have been working or how many times they have been accessed previously because users should never experience downtime while using highly available systems .
Horizontal scaling means adding more servers so that they can handle heavier workloads while remaining cost-efficient . Adding more servers allows database administrators (DBAs. to increase their database performance without increasing its hardware cost because with more servers, there will be fewer logical units per server thus reducing cost per unit of performance . With horizontal scaling, DBAs can increase the capacity or throughput capacity of their database depending on how much hardware they add and where they add it. For example, one can add more servers with smaller processors so that they can handle more requests whereas one can add more servers with bigger processors so that they can handle fewer requests depending on how heavy their workload is . Horizontal scaling also allows DBAs to decrease their response time when they add more servers because when there are more servers then there will be less clients per server thus reducing response time per unit of work performed by each server  . Horizontal scaling allows DBAs to spread out their workload across multiple machines including multi-core servers rather than having them run on single-core servers which can lead to bottlenecks especially when workload increases . Horizontal scaling also allows DBAs to use commodity hardware rather than proprietary hardware because commodity hardware is easier to maintain than proprietary hardware especially when workload increases . Horizontal scaling allows DBAs to make better decisions regarding their database systems because they know exactly how much hardware they need at any given time in order to meet their performance requirements rather than guessing how much hardware they need or buying too much hardware which might just end up
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