Software Alternatives, Accelerators & Startups

Apple Core ML VS Salesforce Platform

Compare Apple Core ML VS Salesforce Platform and see what are their differences

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app

Salesforce Platform logo Salesforce Platform

Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
  • Apple Core ML Landing page
    Landing page //
    2023-06-13
  • Salesforce Platform Landing page
    Landing page //
    2023-06-05

Apple Core ML videos

IBM Watson & Apple Core ML Collaboration - What it means for app development

Salesforce Platform videos

Salesforce Platform Overview (1)

Category Popularity

0-100% (relative to Apple Core ML and Salesforce Platform)
Developer Tools
100 100%
0% 0
Cloud Computing
0 0%
100% 100
AI
100 100%
0% 0
Cloud Hosting
0 0%
100% 100

User comments

Share your experience with using Apple Core ML and Salesforce Platform. 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 Apple Core ML and Salesforce Platform

Apple Core ML Reviews

We have no reviews of Apple Core ML yet.
Be the first one to post

Salesforce Platform Reviews

3 easy app makers you can start on today
Salesforce Platform: If you use the popular customer relationship management system, Salesforce’s low-code tools allow you to build custom apps that can include AI and connect with the company’s various cloud services.

Social recommendations and mentions

Based on our record, Apple Core ML seems to be more popular. It has been mentiond 7 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.

Apple Core ML mentions (7)

  • Ask HN: Where is Apple? They seem to be left out of the AI race?
    On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 4 months ago
  • The Magnitude of the AI Bubble
    Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 6 months ago
  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
  • Apple to occupy 90% of TSMC 3nm capacity in 2023
    > It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / about 1 year ago
  • The iPhone 13 is a pitch-perfect iPhone 12S
    This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: almost 3 years ago
View more

Salesforce Platform mentions (0)

We have not tracked any mentions of Salesforce Platform yet. Tracking of Salesforce Platform recommendations started around Sep 2021.

What are some alternatives?

When comparing Apple Core ML and Salesforce Platform, you can also consider the following products

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

TensorFlow Lite - Low-latency inference of on-device ML models

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.

Google Cloud Functions - A serverless platform for building event-based microservices.