Based on our record, Auth0 seems to be a lot more popular than Amazon EMR. While we know about 181 links to Auth0, we've tracked only 10 mentions of Amazon EMR. 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.
Today I started using Auth0 - a free Identity Provider by okta. They have a nice free plan that is very much enough for my little project and can be upgraded afterwards, if this project will ever go live and commercial. See my progress here. - Source: dev.to / 5 days ago
Auth0 is a popular authentication and authorization platform that provides secure access for applications, devices, and users. - Source: dev.to / 9 days ago
Although we could delegate the authentication and authorization of users to another IRIS server deployed for this purpose, on this occasion we are going to use the service offered by Auth0. - Source: dev.to / 29 days ago
I am using Auth0's Universal Login, which looks like below:. - Source: dev.to / about 1 month ago
Auth0: User authentication made for developers. - Source: dev.to / about 1 month ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: over 1 year ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 2 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
Check out https://aws.amazon.com/emr/. Source: about 2 years ago
Okta - Enterprise-grade identity management for all your apps, users & devices
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
OneLogin - On-demand SSO, directory integration, user provisioning and more
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Amazon Cognito - Amazon Cognito lets you add user sign-up, sign-in, and access control to your web and mobile apps quickly and easily. It scales to millions of users and supports sign-in with social identity providers and enterprise identity providers via SAML 2.0.
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost