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).
Judge.me helps you collect and display star ratings and reviews for your products and Shopify store.Judge.me Product Reviews Integrations
Judge.me Product Reviews + MongoDBCreate Document to MongoDB from New Review in judgeme Read More...
MongoDB + Google SheetsCreate new rows in Google Sheets for new MongoDB documents Read More...
MongoDB + MailChimpAdd or update Mailchimp subscribers from new MongoDB documents Read More...
It's easy to connect MongoDB + Judge.me Product Reviews 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 review is created
Create a new document in a collection of your choice.
Judge.me Product Reviews is a website designed to help people find the right product to buy and let them know what other customers think about that product. MongoDB is a well-known database engine. It is used for a wide range of applications. MongoDB is used in many social media sites such as Twitter, Facebook and Instagram. MongoDB is also used in many websites such as Craigslist and eBay. MongoDB is designed for real-time applications. MongoDB has many features which make it stand out from other database engines such as MySQL and PostgreSQL. MongoDB uses NoSQL technpogy, which means it does not use SQL to manage its data. MongoDB stores its data in documents, which are similar to JSON objects. MongoDB can scale easily and quickly to meet the demands of its users. MongoDB uses the JSON data format. This makes it easy for application developers to work with the data. MongoDB uses dynamic schemas which means that the schema of the database can change over time. This makes it easy to add new fields to documents in the database without having to update existing documents. MongoDB provides high availability by using replica sets. Replica sets are groups of servers which store copies of your data and distribute that data across multiple machines. If one of the machines in the replica set goes down, another machine in the set will take over and continue serving requests.
Judge.me Product Reviews can store all of its data in MongoDB. Every review stored on Judge.me Product Reviews will be stored in a document in a cplection named reviews on the server running MongoDB. The reviews cplection will have an index on the review_id field which will allow MongoDB to quickly retrieve documents based on their unique identifier. Judge.me Product Reviews could also store its documents in cplections other than reviews if there are specific needs for each document type to be stored in different cplections. Judge.me Product Reviews could also store its reviews on several servers using replica sets rather than storing them all on one server. This will make it easier to scale the service to meet the demand of its users and allow for easier backups since there will be multiple copies of Judge.me Product Reviews’ data on several servers rather than all of it being on one server.
MongoDB was created for modern applications which need to be able to scale quickly and efficiently to meet the demands of their users without sacrificing performance or reliability. Judge.me Product Reviews takes advantage of Mongo’s ability to scale easily by storing its data on multiple servers using replica sets rather than storing all of its data on one server. This allows Judge.me Product Reviews to ensure that it will have enough servers to handle the traffic its website receives while still maintaining high availability by providing backup services even if one of the servers fails.
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