Software Alternatives, Accelerators & Startups

Google Cloud Build VS Algorithmia

Compare Google Cloud Build VS Algorithmia and see what are their differences

Google Cloud Build logo Google Cloud Build

A fully managed continuous integration, delivery, & deployment platform that lets you build, test, and deploy in the cloud. Focus on coding by running fast, consistent, reliable automated builds.

Algorithmia logo Algorithmia

Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
  • Google Cloud Build Landing page
    Landing page //
    2023-09-14
  • Algorithmia Landing page
    Landing page //
    2023-09-14

Algorithmia

$ Details
Release Date
2014 January
Startup details
Country
United States
State
Washington
City
Seattle
Founder(s)
Diego Oppenheimer
Employees
10 - 19

Google Cloud Build videos

[Full Workshop] Build a Multi-Step Google Cloud Build Pipeline from Scratch!

Algorithmia videos

How To Color Black and White Photos Automatically: Algorithmia Review

More videos:

  • Tutorial - How to Colorize Black and White photos online - Algorithmia Review (TopTen AI)
  • Review - Algorithmia | Getting started: Pipelines and MLOps

Category Popularity

0-100% (relative to Google Cloud Build and Algorithmia)
Continuous Integration
100 100%
0% 0
Data Science And Machine Learning
Developer Tools
100 100%
0% 0
Data Science Notebooks
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Build should be more popular than Algorithmia. It has been mentiond 15 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 Build mentions (15)

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Algorithmia mentions (5)

What are some alternatives?

When comparing Google Cloud Build and Algorithmia, you can also consider the following products

Data Fabric - Data Fabric is an architecture and set of data services that provide consistent capabilities across a choice of endpoints spanning on-premises and multiple cloud environments.

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

AWS CodePipeline - Continuous delivery service for fast and reliable application updates

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

MCenter - Machine Learning Operationalization