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Based on our record, Amazon Cognito seems to be a lot more popular than ArangoDB. While we know about 64 links to Amazon Cognito, we've tracked only 4 mentions of ArangoDB. 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.
While we highly suggest shifting to OIDC, companies that cannot shift away from SAML can find an OIDC compliant federating identity provider (such as Amazon Cognito) to implement SSO through Pomerium and save on the SSO tax. - Source: dev.to / 6 days ago
I’ve heard some people complain about AWS Cognito’s complexity, but I’ve had the opposite experience. I’ve never done on-boarding before, and every project I’ve ever been on, or near, on-boarding was always a horror show, both in UI, ability to debug, and stability. - Source: dev.to / 3 months ago
After setting up an Amplify app, the next step is to add authentication to the project. Writing the logic for an application's login flow can be challenging and time-consuming. You are responsible for handling tokens correctly, managing user sessions, and storaing user details. However, Amplify simplifies this process by providing a complete authentication solution, which uses Amazon Cognito under the hood, that... - Source: dev.to / 4 months ago
Building auth for your SaaS product shouldn't be hard. Try these free solutions for your next project 👇 Http://supabase.com/auth Free up to 50k users/month Http://firebase.google.com/products/auth Free up to 50k users/month Http://aws.amazon.com/cognito Free up to 50k users/month Http://clerk.com Free up to 10k users/month Http://kinde.com Free up to 7.5k users/month Https://www.descope.com Free up to... Source: 6 months ago
The app uses Amazon Cognito to authenticate users via Google. This was probably the hardest part of the entire project - setting up and configuring the resources necessary to get a Cognito user pool wired up to Google. I kept the Cognito resources in a SAM template separate from the user interface to allow me to iterate on the back-end and UI separately. - Source: dev.to / 10 months ago
In modern databases, efficient data serialization and deserialization are paramount to achieving high performance. ArangoDB, a multi-model database, addresses this need with its innovative binary data format, VelocyPack. This article delves into the intricacies of VelocyPack, demonstrating its advantages, usage, and how it enhances the performance of ArangoDB with code examples in Java and Rust. - Source: dev.to / 6 days ago
ArangoDB: A native multi-model database, it offers flexibility for documents, graphs, and key-values. This versatility makes it suitable for applications requiring a combination of these data models. - Source: dev.to / 3 months ago
ArangoDB, a "multi-modal" database engine that stores arbitrary JSON documents like MongoDB, key/value data like Redis, and graph relationships like Neo4j — and lets you leverage all three kinds of data in a single query. Source: over 1 year ago
I have a bash script and a part of it is installation of arangodb.com. I want a script to install Arangodb in such a way a user won't have select any options during installation, not even specify a password. I want it to have all the default settings, default password such as 1234, even an empty password will do, default config... Everything by default and without any questions to a user. Source: about 3 years ago
Auth0 - Auth0 is a program for people to get authentication and authorization services for their own business use.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Okta - Enterprise-grade identity management for all your apps, users & devices
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
OneLogin - On-demand SSO, directory integration, user provisioning and more
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.