Software Alternatives, Accelerators & Startups

Google Cloud Machine Learning VS Supermetrics

Compare Google Cloud Machine Learning VS Supermetrics and see what are their differences

Google Cloud Machine Learning logo Google Cloud Machine Learning

Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

Supermetrics logo Supermetrics

Supermetrics condenses all the major vectors of data relevant to a user's marketing campaigns and helps them make sense of it all.
  • Google Cloud Machine Learning Landing page
    Landing page //
    2023-09-12
  • Supermetrics Landing page
    Landing page //
    2023-03-16

Google Cloud Machine Learning videos

No Google Cloud Machine Learning videos yet. You could help us improve this page by suggesting one.

+ Add video

Supermetrics videos

Reviewing Stitch vs Supermetrics for BigQuery

More videos:

  • Review - Supermetrics Review - What You Need To Know Before You Buy Supermetrics
  • Review - Supermetrics CEO Mikael Thuneberg: $12m in ARR, 150% YoY Growth. THIS is how you build a company!

Category Popularity

0-100% (relative to Google Cloud Machine Learning and Supermetrics)
Data Science And Machine Learning
Data Integration
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Marketing Analytics
0 0%
100% 100

User comments

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

Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Machine Learning and Supermetrics

Google Cloud Machine Learning Reviews

We have no reviews of Google Cloud Machine Learning yet.
Be the first one to post

Supermetrics Reviews

Top 5 Best Integration Software for 2023
Supermetrics is aimed primarily at streamlining marketing data. Integrating data from over 100 platforms, it makes a business’s marketing info analysis-ready with reporting and analytics tools. It currently serves about 17,000 companies, from small firms and agencies to large corporations across a variety of industries. It promises better returns on advertising expenses...
Source: everhelper.me
Funnel.io Alternatives and Competitors in 2022
If you're in the market for a marketing analytics platform to help you aggregate all your data into one place, you'll likely want to review this list in detail, comparing Funnel.io vs Improvado vs Supermetrics vs Domo vs Datorama. There is a lot to consider from ease of use, to integration with the platforms you use as well as customization and access to customer support.
Source: improvado.io
Top 5 Supermetrics Alternatives – Competitors, Cost, Features & Pricing Model
Funnel.io and Supermetrics provide similar functionality. But unlike Supermetrics, Funnel has a much clearer pricing model. At the same time, they charge based on your ad spend, which is not always the case.
Source: windsor.ai
Funnel.io — Data integration platform with 500+ data sources
There is not too much information about their functionality here. To make it simple, Supermetrics extracts data from marketing sources into the above destinations. Other destinations will need to use the Supermetrics API.
Source: www.windsor.ai
Top 5 Supermetrics Alternatives You Should Know About
Funnel.io and Supermetrics provide similar functionality. But unlike Supermetrics, Funnel has a much clearer pricing model. At the same time, they charge based on your ad spend, which is not always the case.
Source: www.windsor.ai

Social recommendations and mentions

Based on our record, Google Cloud Machine Learning should be more popular than Supermetrics. It has been mentiond 21 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 Machine Learning mentions (21)

  • Gemini 1.5 outshines GPT-4-Turbo-128K on long code prompts, HVM author
    2. Google Cloud Vertex AI: https://cloud.google.com/vertex-ai. Policy: https://cloud.google.com/vertex-ai/docs/generative-ai/data-governance#foundation_model_training. - Source: Hacker News / 3 months ago
  • Let's build your first ML app in Google Cloud Run
    Google Cloud Platform (GCP) provides a very befitting Machine Learning solution called Vertex Ai that handles Google Cloud's unified platform for building, deploying, and managing machine learning (ML) models. Our goal is to build a simple Machine Learning application that optimizes all that GCP provides plus an implementation of continuous integration and continuous development (CI/CD). - Source: dev.to / 5 months ago
  • Google Gemini Pro API Available Through AI Studio
    Cross posting some links from another post that HNers found helpful - https://cloud.google.com/vertex-ai (marketing page) - https://cloud.google.com/vertex-ai/docs (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console) - https://console.cloud.google.com/vertex-ai/model-garden (all the models) - https://console.cloud.google.com/vertex-ai/generative (studio / playground) VertexAI is the... - Source: Hacker News / 5 months ago
  • Google Imagen 2
    For the peer comments - https://cloud.google.com/vertex-ai (main page) - https://cloud.google.com/vertex-ai/docs/start/introduction-unified-platform (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console). - Source: Hacker News / 5 months ago
  • Introducing Gemini: our largest and most capable AI model
    Starting on December 13, developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI. Source: 6 months ago
View more

Supermetrics mentions (8)

  • Unique Business marketing stories Part-1
    Supermetrics is a marketing data SaaS, they scaled internationally to more than $50M from Helsinki, Finland. Source: 11 months ago
  • Ask HN: Who is hiring? (April 2023)
    Supermetrics | Senior Software Engineer | Full time | REMOTE (Portugal) | https://supermetrics.com/ Join our newly founded Internal Integrations Engineering team, develop scalable solutions to support our sales processes, and improve automation and internal tooling for Supermetrics' Sales, Finance, and Customer Support functions. We hope you have strong backend programming skills in PHP and Typescript/Javascript... - Source: Hacker News / about 1 year ago
  • Anyone here is familiar with Facebook API?
    Https://supermetrics.com is one of them but there are many more actually. Do a quick research about the alternative platforms and let me know if you need further help :). Source: over 1 year ago
  • Calendar Heroes: Connor MacDonald, CMO at The Ridge - Q&A on Time Management
    Supermetrics powers 90% of our reporting, with automated report building so we can monitor our ad performance. - Source: dev.to / almost 3 years ago
  • Converting dev environments to Apple Silicon
    The reality is that Apple will switch to ARM chips, and as devs, we need to be prepared. So this past weekend, faced with a shortage of Intel Macbook Pros for our new devs, we sat down to make it all work for our Supermetrics developers. - Source: dev.to / almost 3 years ago
View more

What are some alternatives?

When comparing Google Cloud Machine Learning and Supermetrics, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Funnel.io - Marketing analytics software for e-commerce companies and online marketers that automatically...

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Whatagraph - Whatagraph is the most visual multi-source marketing reporting platform. Built in collaboration with digital marketing agencies

OpenCV - OpenCV is the world's biggest computer vision library

Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.