Software Alternatives & Reviews

Google AutoML Tables VS Google Cloud Endpoints

Compare Google AutoML Tables VS Google Cloud Endpoints and see what are their differences

Google AutoML Tables logo Google AutoML Tables

AutoML Tables enables data teams to automatically build and deploy state-of-the-art ML models on structured data at an increased speed and scale.

Google Cloud Endpoints logo Google Cloud Endpoints

Google Cloud Endpoints provides the tools to develop, deploy, protect and monitor your APIs.
  • Google AutoML Tables Landing page
    Landing page //
    2023-08-27
  • Google Cloud Endpoints Landing page
    Landing page //
    2023-09-19

Google AutoML Tables videos

No Google AutoML Tables videos yet. You could help us improve this page by suggesting one.

+ Add video

Google Cloud Endpoints videos

Google Cloud Endpoints and Apigee Edge - Google Cloud Platform Fundamentals: Core Infrastructure

More videos:

  • Review - OPEN DX 2020 Special LT:Understand Google Cloud Endpoints in 5 minutes

Category Popularity

0-100% (relative to Google AutoML Tables and Google Cloud Endpoints)
API Tools
18 18%
82% 82
Cloud Computing
100 100%
0% 0
APIs
0 0%
100% 100
API Management
9 9%
91% 91

User comments

Share your experience with using Google AutoML Tables and Google Cloud Endpoints. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Google Cloud Endpoints seems to be more popular. It has been mentiond 4 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.

Google AutoML Tables mentions (0)

We have not tracked any mentions of Google AutoML Tables yet. Tracking of Google AutoML Tables recommendations started around Mar 2021.

Google Cloud Endpoints mentions (4)

  • Serverless Security Best Practices
    Moreover, integrating rate limiting can thwart DDoS attacks, and schema validation can prevent malformed requests, ensuring only legitimate and well-formed traffic reaches your serverless functions. Tools like Amazon API Gateway, Azure API Management, and Google Cloud Endpoints offer these capabilities, allowing you to set up custom authorization workflows and request validation rules that align with your security... - Source: dev.to / 14 days ago
  • API Gateway VS API Endpoints VS Apigee
    AFAIK, API Gateway is just managed Cloud Endpoints, which are just ESPv2 containers. Cloud Endpoints are still a thing but I would agree that they are a bit dead, as they don't support OpenAPI v3, which was released in 2016. See this support ticket from 2018: https://issuetracker.google.com/issues/78271318?pli=1. Source: over 1 year ago
  • What is Google Cloud Endpoints? How does it compare to just hosting a backend?
    For reference: https://cloud.google.com/endpoints. Source: almost 3 years ago
  • How to provide access to my Cloud Run service to myself.
    Use Cloud Endpoints in front of your service, which gives more options for authentication, including JWT. Here's an intro (the English is poor, but advice is sound.). Source: about 3 years ago

What are some alternatives?

When comparing Google AutoML Tables and Google Cloud Endpoints, you can also consider the following products

Google Security Key Enforcement - Enforce the use of security keys to help prevent account takeovers.

Postman - The Collaboration Platform for API Development

Google Cloud Spanner - Google Cloud Spanner is a horizontally scalable, globally consistent, relational database service.

Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale

Google Cloud Storage Transfer Service - Complete large-scale online data transfers from online and on-premises sources to Cloud Storage.

Django REST framework - Django REST framework is a toolkit for building web APIs.