Software Alternatives, Accelerators & Startups

Apollo.io VS Amazon SageMaker

Compare Apollo.io VS Amazon SageMaker and see what are their differences

Apollo.io logo Apollo.io

Apollo’s predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.

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.
  • Apollo.io Landing page
    Landing page //
    2023-05-08
  • Amazon SageMaker Landing page
    Landing page //
    2023-03-15

Apollo.io videos

Free software to find email addresses - apollo.io review

More videos:

  • Review - “Feature Fatigue Kills UX” by Lily Chen, senior software engineer at Apollo.io

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 Apollo.io and Amazon SageMaker)
Lead Generation
100 100%
0% 0
Data Science And Machine Learning
Sales Tools
100 100%
0% 0
AI
0 0%
100% 100

User comments

Share your experience with using Apollo.io 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 Apollo.io and Amazon SageMaker

Apollo.io Reviews

We have no reviews of Apollo.io 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, Apollo.io should be more popular than Amazon SageMaker. It has been mentiond 63 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.

Apollo.io mentions (63)

  • Lead Generation
    Apollo.io seems popular for cold email. Source: 7 months ago
  • Senior front end developer salary
    FAAANGM + ATlassian/Uber and similar product based companies 85 lacs - 1.1 cr Startups like coinbase / apollo.io / rippling 80+. Source: 9 months ago
  • Anything Better Than Apollo.io?
    Their data seems pretty good and their features are awesome, but they had a couple of glitches this week that are annoying me. I know they seem to be the best, but has anyone bested them yet? Curious if there's anything out there that's better than Apollo.io. Source: 11 months ago
  • how to get Email Contacts
    Tons of options: apollo.io is popular and affordable. If you're looking for recently funded company contact info, saasydb.com is good. Source: 11 months ago
  • LinkedIn Sales Nav worth it or overrated?
    I agree with most people here in that its invaluable. Especially when paired with some other tools like apollo.io and autobound.ai. Source: 12 months ago
View more

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

What are some alternatives?

When comparing Apollo.io and Amazon SageMaker, you can also consider the following products

Hunter - Find all the email addresses related to a domain

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.

Lusha - Search less. Sell more.

Deepnote - A collaboration platform for data scientists

ZoomInfo - ZoomInfo is a B2B database providing detailed business information on people and companies.

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.