Software Alternatives, Accelerators & Startups

Hyperledger VS Amazon SageMaker

Compare Hyperledger VS Amazon SageMaker and see what are their differences

Hyperledger logo Hyperledger

Hyperledger is a multi-project open source collaborative effort hosted by The Linux Foundation, created to advance cross-industry blockchain technologies.

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.
  • Hyperledger Landing page
    Landing page //
    2023-09-26
  • Amazon SageMaker Landing page
    Landing page //
    2023-03-15

Hyperledger videos

Traxion ICO review - Hyperledger fabric technology

More videos:

  • Review - Matrix AI Review - $MAN - Intelligent Blockchain - Easier | Safer | Faster | Flexible + Hyperledger
  • Review - Overview: Agents and Hyperledger Indy - Kyle Den Hartog, Evernym - Part 1

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)

Category Popularity

0-100% (relative to Hyperledger and Amazon SageMaker)
Cloud Infrastructure
100 100%
0% 0
Data Science And Machine Learning
Cloud Computing
100 100%
0% 0
AI
0 0%
100% 100

User comments

Share your experience with using Hyperledger and Amazon SageMaker. 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 Hyperledger and Amazon SageMaker

Hyperledger Reviews

We have no reviews of Hyperledger yet.
Be the first one to post

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

Social recommendations and mentions

Based on our record, Amazon SageMaker seems to be a lot more popular than Hyperledger. While we know about 37 links to Amazon SageMaker, we've tracked only 2 mentions of Hyperledger. 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.

Hyperledger mentions (2)

  • Do You Need a Blockchain?
    In my day job[0], I talk to a lot of start-up ventures about blockchain. Only one was honest enough to say they were only using it because, at the time, it was easier to get funding. [0]: https://hyperledger.org/. - Source: Hacker News / almost 3 years ago
  • Ethereum Tech Used to Build a Smart Contract Platform for 5G Mobile Networks
    Ethereum is not just currency at its core, its a smart contract platform which is used to implement distributed consensus, where each participating party sign the result, with their consensus algorithm. Currency is a side effect. You can just remove the entire ETH/gas dependency on the base, to use the platform as a distributed ledger between all the participants. And use another kind of consensus algo(proof of... Source: almost 3 years ago

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 1 month 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 / 2 months 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 / 3 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 / 5 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: about 1 year ago
View more

What are some alternatives?

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

Ethereum - Ethereum is a decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.

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.

IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.

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.

Kaleido Blockchain Business Cloud - Create and manage enterprise private blockchain networks within minutes using Kaleido's platform. Our full-stack enterprise blockchain as a service and cloud integrations support your entire blockchain journey, from PoC to live production.

Deepnote - A collaboration platform for data scientists