Software Alternatives, Accelerators & Startups

Dovetail VS Amazon SageMaker

Compare Dovetail VS Amazon SageMaker and see what are their differences

Dovetail logo Dovetail

Mobile Cloud-Based Dental Software

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.
  • Dovetail Landing page
    Landing page //
    2023-09-27
  • Amazon SageMaker Landing page
    Landing page //
    2023-03-15

Dovetail videos

Barrell Dovetail Whiskey Review! Breaking the seal episode #58

More videos:

  • Review - Barrell Dovetail Review
  • Review - Barrell Dovetail Review

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 Dovetail and Amazon SageMaker)
User Experience
100 100%
0% 0
Data Science And Machine Learning
Customer Feedback
100 100%
0% 0
AI
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 Dovetail and Amazon SageMaker

Dovetail Reviews

We have no reviews of Dovetail yet.
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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 should be more popular than Dovetail. 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.

Dovetail mentions (14)

  • How to store customer interviews
    Most of my friends at Canva and Atlassian swear by Dovetail (dovetail.com) which was pretty much built for this workflow. Source: 7 months ago
  • The Best Marketing Research Tools I've Found - A post going for the 2024 AI era
    2 - DoveTail: Qual study tool; really love this one and it has a lot of features. Auto-transcription, sentiment analysis, and customizable data organization to streamline research analysis. Source: 7 months ago
  • Interview coding software
    Dovetail. We have played with this for our studies and really like it, it creates video clips out of your time stamps. https://dovetail.com/. Source: about 1 year ago
  • I tried to describe how you can use a digital whiteboard (e.g., Miro, Mural, FigJam) to tag user interviews. The main advantage is that you can quickly categorize things visually in at least three different ways, which seems useful. Any comments, shared experience, or suggestions?
    Nice way to visualize your research. There is also an app called Dovetail where you can also tag and organize findings. Source: over 1 year ago
  • Research Repositories - what are you using?
    Https://dovetailapp.com/ and https://condens.io/ (both excellent and specifically focused on user research). Source: about 2 years ago
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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 / 6 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
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What are some alternatives?

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

UserTesting.com - Usability testing has never been easier. Get videos of real people speaking their thoughts as they use websites, mobile apps, prototypes and more!

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.

Condens.io - Make storing, analyzing and sharing all UX research data easier, faster and more enjoyable.

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.

EnjoyHQ - A customer research platform for product teams

Deepnote - A collaboration platform for data scientists