Software Alternatives, Accelerators & Startups

Amazon SageMaker VS Asklayer

Compare Amazon SageMaker VS Asklayer 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.

Asklayer logo Asklayer

Get real answers from your customers with Asklayers surveys, quizzes, polls and more. Works on any website with zero code and includes enterprise level features such auto-segmentation, user tagging, branching, NPS & CSAT calculation.
  • Amazon SageMaker Landing page
    Landing page //
    2023-03-15
  • Asklayer Get more answers and better data
    Get more answers and better data //
    2024-03-21
  • Asklayer Easy to get started with many built in strategies such as post-purchase feedback and NPS surveys
    Easy to get started with many built in strategies such as post-purchase feedback and NPS surveys //
    2024-03-21
  • Asklayer Segment users easily based on their answers
    Segment users easily based on their answers //
    2024-03-21
  • Asklayer Easy drag and drop builder with skip logic
    Easy drag and drop builder with skip logic //
    2024-03-21
  • Asklayer Pro reporting available for every survey
    Pro reporting available for every survey //
    2024-03-21

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)

Asklayer videos

No Asklayer videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Amazon SageMaker and Asklayer)
Data Science And Machine Learning
Customer Feedback
0 0%
100% 100
AI
100 100%
0% 0
User Feedback
0 0%
100% 100

Questions and Answers

As answered by people managing Amazon SageMaker and Asklayer.

What's the story behind your product?

Asklayer's answer:

Asklayer is built by a team of experts from Japan and was created out of frustration with low response rates associated with traditional surveys. We found that most users hate surveys, however they are willing to answer a few questions.

So we created Asklayer, a micro-survey tool that presents itself as simple questions to the user to reduce friction and increase response rates. Unlike traditional surveys we collect data after every question so even if the user abandons part way, you still get answers and a measure of the drop-off point.

The results of all these efforts is a much better user experience, a greatly increased response rate and a much greater total volume of data collected.

Who are some of the biggest customers of your product?

Asklayer's answer:

  • Walmart
  • Dyson
  • NZXT
  • Bloom
  • Japan national airline
  • City of Kanagawa

User comments

Share your experience with using Amazon SageMaker and Asklayer. 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 Asklayer

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

Asklayer Reviews

  1. Using this on 3x of my clients sites

    It's flexible and does most things well. Support is amazing, they even added a feature for me!

    👍 Pros:    Branching and skip logic|Lightweight|Great customer support|Detailed reports|Bulk export
    👎 Cons:    None
  2. Fantastic UX, best response rate out of tested tools.

    Got a really high response rate. I used this in tandem with Promolayer on my EC site for CRO. I did a 'whats missing from this product description' type survey + post purchase + product follow-up email and frankly, it's been amazing. I spent about 2 years trying to figure out my direction via analytics and heatmapping when I should have just been talking to my users the whole time.

    👍 Pros:    Easy user interface|Great user experience|Highly customizable|Great customer support|Generates good responses|Just great!!!|Detailed reports|Reasonable pricing|Easy integration|Clear and intuitive dashboard
    👎 Cons:    None so far

Social recommendations and mentions

Based on our record, Amazon SageMaker seems to be more popular. 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 / 24 days 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 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

Asklayer mentions (0)

We have not tracked any mentions of Asklayer yet. Tracking of Asklayer recommendations started around Mar 2024.

What are some alternatives?

When comparing Amazon SageMaker and Asklayer, 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.

Ask User - User surveys without stress

Deepnote - A collaboration platform for data scientists

Doorbell.io - Collect in-app user feedback. Available on websites, iOS, and Android.

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.

Survey Monkey - Create and publish online surveys in minutes, and view results graphically and in real time. SurveyMonkey provides free online questionnaire and survey software.