Software Alternatives & Reviews
Register | Login

Google CLOUD AUTOML VS Turbonomic

Compare Google CLOUD AUTOML VS Turbonomic and see what are their differences

Sup! Standup Bot
The complete stand-up and follow-up bot featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Google CLOUD AUTOML logo Google CLOUD AUTOML

Train custom ML models with minimum effort and expertise

Turbonomic logo Turbonomic

Turbonomic AI-powered Application Resource Management simultaneously optimizes performance, compliance, and cost in real time. Applications are continually resourced, automatically, to perform while satisfying business constraints.
  • Google CLOUD AUTOML Landing page
    Landing page //
    2023-07-30
  • Turbonomic Landing page
    Landing page //
    2023-10-02

Google CLOUD AUTOML videos

No Google CLOUD AUTOML videos yet. You could help us improve this page by suggesting one.

+ Add video

Turbonomic videos

+ Add

Setup Turbonomic - Step by Step [AskJoyB]

More videos:

  • Review - The Business Impacts on Having an Executive Buyer Review - Featuring: Alex Hesterberg, Turbonomic
  • Review - Turbonomic and AppDynamics: Assuring Performance from App to Infrastructure

Category Popularity

0-100% (relative to Google CLOUD AUTOML and Turbonomic)

Google CLOUD AUTOML

Turbonomic

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
AI
100 100%
AI
0% 0
Project Management
0 0%
Project Management
100% 100

User comments

Share your experience with using Google CLOUD AUTOML and Turbonomic. 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 AUTOML seems to be more popular. It has been mentiond 6 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 CLOUD AUTOML mentions (6)

  • Is there going to be engines dedicated to creating AI?
    There are several no-code AI websites that you can use like Amazon SageMaker, Apple CreateML or Google AutoML. Source: about 1 year ago
  • How AWS and GCP Compare: The Top 5 Differences
    GCP, on the other hand, offers two top options: Google Cloud AutoML, for beginners, and Google Cloud Machine Learning Engine, for handling tasking projects. GCP also provides Tenserflow and Vertex AI complicated machine learning abilities. - Source: dev.to / over 1 year ago
  • Discussion Thread
    Just outsource the work to Google or Amazon. Source: over 2 years ago
  • Is GitHub Copilot a Threat to Developers? (Spoiler: It’s Not
    We can also note the appearance of Machine Learning, creating dynamic processes over data that would have been tedious to analyse, either by hand or through specific code. This enables writing potentially complex behaviours with a few lines of code in some cases. Even then, there is some automation of it to the point where you only have to provide data to get working results. - Source: dev.to / almost 3 years ago
  • Are there any ready-to-use image AI programs for dummies?
    You might want to check out automl Google AutoML. Source: almost 3 years ago
View more

Turbonomic mentions (0)

We have not tracked any mentions of Turbonomic yet. Tracking of Turbonomic recommendations started around Mar 2021.

What are some alternatives?

When comparing Google CLOUD AUTOML and Turbonomic, you can also consider the following products

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Amazon CloudWatch - Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.

BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

Freshservice - Freshservice: the one-stop cloud solution for all your IT management needs.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Goverlan - Goverlan Reach provides IT systems support and remote management software solutions enabling innovative and simplified ways for businesses to address remote IT administration needs.

Loading...