Software Alternatives, Accelerators & Startups

Amazon SageMaker VS Contentful

Compare Amazon SageMaker VS Contentful and see what are their differences

Amazon SageMaker logo Amazon SageMaker

Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Contentful logo Contentful

You don't need another CMS. You need a better way to manage content — unified, structured, and ready to deploy to any digital channel.
  • Amazon SageMaker Landing page
    Landing page //
    2023-03-15
  • Contentful Landing page
    Landing page //
    2023-10-07

Contentful

Release Date
2013 January
Startup details
Country
Germany
State
Berlin
City
Berlin
Founder(s)
Paolo Negri
Employees
250 - 499

Amazon SageMaker videos

Build, Train and Deploy Machine Learning Models on AWS with Amazon SageMaker - AWS Online Tech Talks

More videos:

  • Review - An overview of Amazon SageMaker (November 2017)

Contentful videos

Bits & Bytes Ep. 1 - What is Contentful?

More videos:

  • Review - A Quick look at contentful | #CodingPhase
  • Review - Gatsby And Contentful - The Headless CMS Approach - Episode 1

Category Popularity

0-100% (relative to Amazon SageMaker and Contentful)
Data Science And Machine Learning
CMS
0 0%
100% 100
AI
100 100%
0% 0
Blogging
0 0%
100% 100

User comments

Share your experience with using Amazon SageMaker and Contentful. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Amazon SageMaker and Contentful

Amazon SageMaker Reviews

7 best Colab alternatives in 2023
Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning. It allows users to write code, track experiments, visualize data, and perform debugging and monitoring all within a single, integrated visual interface, making the process of developing, testing, and deploying models much more manageable.
Source: deepnote.com

Contentful Reviews

  1. Very generous free plan

    The free plan of Contentful is generous enough to allow us to run a successful technology blog without having to pay for any overheads to run it. We used them as an alternative to the previously used Ghost. We have experienced a lot of growth since this migration.

    🏁 Competitors: Ghost

21 Headless CMS Platforms That You Should Check Out
Contentful integrates with many tools and helps you create your content quickly. It is mostly used for e-commerce websites.
Source: popupsmart.com
Best Headless CMS in 2022
Contentful is an API-driven headless CMS that focuses on content and the backend. It is considered one of the best systems for small to medium enterprises. You can edit content anywhere by any smart device and integrate it with other services such as Dropbox.
Source: flatlogic.com
Best Headless CMS for 2020
Yes, hosted providers, such as Contentful would be easier to use but it literally comes with a price...
Source: dev.to
11 Headless CMS to Consider for Modern Application
It uses RESTful API development kits for all popular languages. Contentful is welcoming newcomers, so anyone can quickly create data entries.
Source: geekflare.com
34 Headless CMS That Should Be On Your Radar
Founded in 2013, Germany-based Contentful offers an API-driven headless CMS. Contentful’s RESTful API gives developers full programmatic control of content, digital assets, and translations. The platform also takes advantage of caching techniques as well as external CDN integrations to enable the delivery of API payloads in the sub-100ms range.
Source: www.cmswire.com

Social recommendations and mentions

Based on our record, Amazon SageMaker should be more popular than Contentful. It has been mentiond 37 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.

Amazon SageMaker mentions (37)

  • Quantum Convolutional Neural Networks
    Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. - Source: dev.to / about 14 hours ago
  • Observations on MLOps–A Fragmented Mosaic of Mismatched Expectations
    Damn straight. Oh, wait, some vendors have claimed to build an end-to-end solution. But, meh, that’s marketing talk. Take, for example, a well-known platform like Amazon Sagemaker, which describes itself as “a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case.” It’s a great platform. My startup has even partnered with them.... - Source: dev.to / about 1 month ago
  • Sentiment Analysis with PubNub Functions and HuggingFace
    At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / about 2 months ago
  • Beginning the Journey into ML, AI and GenAI on AWS
    Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 4 months ago
  • Technical Architecture for LLMOps
    Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: 12 months ago
View more

Contentful mentions (9)

  • My blog post workflow
    Next, I’ll copy and paste the draft text to my CMS. I’ve been using Contentful since working there in 2021. I use Rich Text rather than Markdown for my posts and what’s great about this is that copying and pasting from Notion preserves hyperlinks and formatting. If I’m including anything else like code samples, images and other embedded media, I add those as separate linked entries manually whilst working through... - Source: dev.to / 3 months ago
  • How to Style Markdown in Next.JS Using React-Markdown and SASS
    If you have a blog or website with articles or long text documents, markdown is your friend. It makes authoring documents so much easier and more intuitive than straight HTML. Markdown has a far smaller learning curve than HTML and can easily be taught to non-tech-savvy writers. Markdown editors are also built-in to headless CMSs like Contentful. - Source: dev.to / over 1 year ago
  • Looking to Create a Wordpress Style Website with Python / Flask
    It depends on the requirements, but this might actually call for a headless CMS like Forestry.io or Contentful coupled with a Static Site Generator like Hugo. The CMS will manage users/permissions/data hierarchy and provide a simple frontend for users to add content, lay out pages, etc. And then when they save a change, the SSG will re-run and render everything to static HTML/CSS/JS. Source: almost 2 years ago
  • How to Create a Blog Using Next.js and Contentful CMS
    Contentful is a headless content management system (CMS). Headless simply means there is no front-end to display the content to the consumer. It's basically a database, but much easier to setup and maintain than a traditional relational database. Contentful provides a very easy-to-use API for fetching and managing content. They also support GraphQL queries if you're into that. - Source: dev.to / almost 2 years ago
  • Test Post Dev To
    Contentful has become my favorite Headless CMS. I use it to generate static web pages, this blog, and storing other forms of data, such as user profiles. - Source: dev.to / almost 2 years ago
View more

What are some alternatives?

When comparing Amazon SageMaker and Contentful, you can also consider the following products

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.

WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

Strapi - Strapi is the most advanced Node.

Pega Platform - The best-in-class, rapid no-code Pega Platform is unified for building BPM, CRM, case management, and real-time decisioning apps.

Drupal - Drupal - the leading open-source CMS for ambitious digital experiences that reach your audience across multiple channels. Because we all have different needs, Drupal allows you to create a unique space in a world of cookie-cutter solutions.