Canny is a cloud-based solution that helps small to large businesses collect, analyze, prioritize and track user feedback to make informed product decisions.
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).MongoDB Integrations
MongoDB + CannyChange Post Status in Canny when New Document is created in MongoDB Read More...
It's easy to connect Canny + MongoDB without coding knowledge. Start creating your own business flow.
Triggers when a new comment is created.
Triggers when a new post is created.
Triggers when a new vote is created.
Triggers when a post's status is changed.
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.
Changes a post's status.
Create a new document in a collection of your choice.
MongoDB is a NoSQL database which is open source and written in C++. It has a flexible schema and stores data as documents rather than rows and cpumns. It is a document-oriented database management system which is available in the cloud. Canny is a program for extracting contents from images.
Canny is used to extract contents of an image into text or vector format. It uses a sliding window technique at each pixel to form edges between regions of interest. It can be used to detect edges in an image. The main function of Canny is to improve the quality of images. Canny can be used to extract objects from medical images, such as ultrasound and MRI.
Canny needs images as inputs and MongoDB consumes documents to conduct queries. It would be beneficial if these two software programs could be integrated into one single software program because the MongoDB will provide the needed storage space and Canny will provide the needed image processing algorithm. Image files are stored in MongoDB as BSON binary files. In this situation, Canny will have to be modified so it can read data from BSON files. A library should be created so Canny can read data from BSON files efficiently by referencing the metadata field of the BSON file. This will allow Canny to extract content from images for use in other programs or applications.
The benefits of integrating Canny and MongoDB include:
Integration between Canny and MongoDB can provide significant benefits such as increased efficiency and reduced costs due to reduced time and expenses needed for setup and maintenance. Integration will also allow ease of use as users can simply run Canny without having to worry about running a separate program for storing data and running another program for storing data as well as knowing how to use it with Canny when they want to extract information from images.
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