Amazon DynamoDB is a fully managed NoSQL database service offered by Amazon.com as a part of their Amazon Web Services portfolio. Many of the world’s renowned businesses and enterprises use DynamoDB to support their mission-critical workloads.
Canny is a user feedback tool that lets you keep track of all of your user feedback in one organized place.Canny Integrations
Amazon DynamoDB + Amazon DynamoDBGet IP2Location information for IP addresses from new AWS DynamoDB items and store it in a separate table Read More...
Canny + Google SheetsAdd new Canny votes as spreadsheet rows in Google Sheets Read More...
It's easy to connect Amazon DynamoDB + Canny without coding knowledge. Start creating your own business flow.
Trigger when new item created in table.
Trigger when new table created.
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.
Creates new item in table.
Changes a post's status.
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. Unstructured data can be stored in tables, and each table can have multiple attributes. DynamoDB has two types of tables. standard and global. Standard tables have lower costs but have limited storage capacity, while global tables have higher storage capacity but higher costs. (See figure 7)
Figure 7. Amazon DynamoDB Types of Tables.
Canny is a machine-learning based image recognition library written in C++. Canny uses the HOG features to detect objects in images. HOG stands for Histogram of Oriented Gradients. The library is available at https://github.com/cnlab/canny, which is open source and free to use. The library has a command line interface that allows a user to run HOG feature extraction on an image and then compare the output with known objects stored in a database. (See figure 8)
Figure 8. Canny Features.
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It offers developers a cost effective and flexible database spution which is compatible with other AWS services such as Lambda, S3, SQS and API Gateway. In summary, the integration of Amazon DynamoDB and Canny allows users to create and store cplections of training images. The trained model can be used to classify unseen images and make comparisons with the images in the database. (See figure 9)
Figure 9. Amazon DynamoDB and Canny Integration.
The integration of Amazon DynamoDB and Canny benefits the users by allowing them to use specific algorithms to automate object detection and classification in applications such as video surveillance, robotics, smart home automation or smart cars. The cloud service allows users to integrate computer vision algorithms seamlessly into their applications without writing any additional code or managing any infrastructure or servers for the application. The code can be linked into an existing application with just one call. Furthermore, the cloud service allows users to work on the same code from different devices, both synchronously and asynchronously. (See figure 10)
Figure 10. Amazon DynamoDB Benefits
In conclusion, the integration of Amazon DynamoDB and Canny together with other AWS services allows users to build high-performing, scalable, and highly available applications that are always connected and can deliver real-time responses to users’ requests anytime or anywhere from around the world without having to worry about infrastructure maintenance, security or scaling issues.
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