Regula VS Google App Engine
Compare Regula VS Google App Engine and see what are their differences
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Regula
Recognito.Vision
Veriff
Facia
Smart Engines
MicroBlink
Anyline
IDWise
Google App Engine
Salesforce Platform
Dokku
Heroku
AWS Lambda
Google Cloud Functions
AWS Elastic Beanstalk
Azure Web Apps
With 30+ years of experience in forensic research and the largest library of document templates in the world, Regula creates breakthrough technologies in document and biometric verification. Regula hardware and software solutions allow over 1,000 organizations and 80 border control authorities globally to provide top-notch client service without compromising safety, security or speed.
Regula was named a Representative Vendor in Gartner Market Guide for Identity Proofing and Affirmation in 2022.
Regula Google App EngineNo features have been listed yet.
Regula's answer
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Regula's answer
Regula was named a Representative Vendor in the March 2022 Gartner Market Guide for Identity Proofing and Affirmation.
Regula's answer
Based on our record, Google App Engine seems to be more popular. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In 2014, I took a web development on Udacity that was taught by Steve Huffman of Reddit fame. He taught authentication, salting passwords, the difference between GET and POST requests, basic html and css, caching techniques. It was a fantastic introduction to web dev. To pass the course, students deployed simple python servers to Google App Engine. When I started to look for work, I opted to use code from that... - Source: dev.to / 2 days ago
GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 3 days ago
In 2008, Google launched AppEngine. This product predates the formal existence of Google Cloud and can be considered Google Cloud's first offering. - Source: dev.to / about 2 months ago
To deploy the app, we can use Google Cloud App Engine, which is specifically built for server-side rendered websites. After we create a new project in the Google Cloud Console, we have to configure the cql-trace-viewer application. - Source: dev.to / about 1 year ago
I've read that article, but I'm thinking there are other better (and most importantly cheaper) ways of doing that, such as using App Engine (given that you have to mitigate the maximum request timeout and to make sure there are constantly exactly 1 instance running). Source: about 1 year ago
Recognito.Vision - Recognito is a leading developer of Facial Recognition Technology and advanced biometric algorithms, proven by being ranked in NIST TOP 1. Advanced Face Recognition, Face Liveness Detection, Video Analytics Solution Provider
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
Veriff - Smart and scalable identity verification.
Dokku - Docker powered mini-Heroku in around 100 lines of Bash
Facia - Instant 3D Face Recognition for Enhanced Security
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.