Software Alternatives & Reviews

Make.com VS Google Cloud TPU

Compare Make.com VS Google Cloud TPU and see what are their differences

Make.com logo Make.com

Tool for workflow automation (Former Integromat)

Google Cloud TPU logo Google Cloud TPU

Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
  • Make.com Landing page
    Landing page //
    2022-07-05
  • Google Cloud TPU Landing page
    Landing page //
    2023-08-19

Make.com videos

Zapier vs Integromat - Quick Comparison Review

More videos:

  • Review - Integromat feature tour
  • Review - Introduction to Integromat

Google Cloud TPU videos

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

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Category Popularity

0-100% (relative to Make.com and Google Cloud TPU)
Web Service Automation
100 100%
0% 0
Data Science And Machine Learning
Automation
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Make.com and Google Cloud TPU

Make.com Reviews

Top 9 MuleSoft Alternatives & Competitors in 2024
Make, one of the best Mulesoft alternatives, the ultimate IT process automation tool for enhancing efficiency, productivity, and collaboration. By automating routine tasks, integrating with existing infrastructure, and offering powerful workflow automation, Make empowers your team to streamline processes and achieve remarkable results.
Source: www.zluri.com
Zapier vs. Make.com: Which Automation Tool Will Take the Business Lead?
Make.com offers a cost-effective option for those looking for a business process automation solution, even if it may compromise usability and integration. From your scenario, Make.com seems like a realistic alternative for those with a more limited budget or those willing to work with additional API documentation and webhooks instead of the broader integration that Zapier...
7 Best Zapier Alternatives to Meet Your Integration Needs
Make.com is no different than other tools in this list given that it is a low-code platform, has a drag-and-drop interface, and enables users to automate workflows — which it calls “scenarios”. Make was known as Integromat before its rebranding in 2022, post which they have heavily invested in revamping their website and app UI.
13 data integration tools: a comparative analysis of the top solutions
Make.com is a highly sought-after tool that allows for smooth data integration and transformation. It boasts an array of functionalities including custom app creation, storage for execution logs, and access to over 300 Make API endpoints, expediting the automation of tasks with ease.
Source: blog.n8n.io
10 n8n.io Alternatives
Integromat is a robust integration tool that enables global folks to achieve more in less time with fewer people in the squad. This super simple and effective integration tool enables users to visualize, automate, design, and modify work within minutes. You can connect applications to automate workflows with some simple clicks using it. No credit card is required, and no...

Google Cloud TPU Reviews

We have no reviews of Google Cloud TPU yet.
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Social recommendations and mentions

Based on our record, Google Cloud TPU seems to be more popular. It has been mentiond 5 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.

Make.com mentions (0)

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

Google Cloud TPU mentions (5)

  • Pathways Language Model (Palm): 540B Parameters for Breakthrough Perf
    According to https://cloud.google.com/tpu, each individual TPUv3 has 420 Teraflops, and TPUv4 is supposed to double that performance, so if that guess is correct, it should take a few seconds to do inference. Quite impressive really. - Source: Hacker News / about 2 years ago
  • The AI Research SuperCluster
    You can also rent a cloud TPU-v4 pod (https://cloud.google.com/tpu) which 4096 TPUv-4 chips with fast interconnect, amounting to around 1.1 exaflops of compute. It won't be cheap though (excess of 20M$/year I believe). - Source: Hacker News / over 2 years ago
  • Stadia's future includes running the backend of other streaming platforms, job listing reveals
    Actually, that's done with TPUs which are more efficient: https://cloud.google.com/tpu. Source: almost 3 years ago
  • Nvidia CEO: Ethereum Is Going To Be Quite Valuable, Transactions Will Still Be A Lot Faster
    TPU training uses Google silicon and is thus a true deep learning alternative to Nvidia. Source: almost 3 years ago
  • Server Question
    The server choice really depends on how much CPU and RAM the requests take, how many users will be hitting the server, etc. You can start with a $5/month Digital Ocean server (or AWS or Google) and see if that works for you. Or you can outsource the server administration to Amazon or Google if you don't want to deal with it or need specialized tpu hardware. Source: about 3 years ago

What are some alternatives?

When comparing Make.com and Google Cloud TPU, you can also consider the following products

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

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

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

machine-learning in Python - Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.

Amazon Forecast - Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.