Software Alternatives & Reviews

Q Research Software VS Amazon Forecast

Compare Q Research Software VS Amazon Forecast and see what are their differences

Q Research Software logo Q Research Software

Q is for the interpretation, analysis, visualization and reporting of market research data.

Amazon Forecast logo Amazon Forecast

Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.
  • Q Research Software Landing page
    Landing page //
    2022-01-31
  • Amazon Forecast Landing page
    Landing page //
    2022-02-05

Q Research Software videos

No Q Research Software videos yet. You could help us improve this page by suggesting one.

+ Add video

Amazon Forecast videos

Learn How to Accurately Forecast Demand with Amazon Forecast - AWS Online Tech Talks

More videos:

  • Review - Amazon Forecast Overview
  • Review - AWS re:Invent 2020: Building a successful inventory planning solution with Amazon Forecast

Category Popularity

0-100% (relative to Q Research Software and Amazon Forecast)
Data Dashboard
47 47%
53% 53
Data Science And Machine Learning
Statistics
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

Share your experience with using Q Research Software and Amazon Forecast. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Amazon Forecast seems to be more popular. It has been mentiond 4 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.

Q Research Software mentions (0)

We have not tracked any mentions of Q Research Software yet. Tracking of Q Research Software recommendations started around Mar 2021.

Amazon Forecast mentions (4)

  • 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 / 3 months ago
  • [Discussion] Amazon's AutoML vs. open source statistical methods
    In this reproducible experiment, we compare Amazon Forecast and StatsForecast a python open-source library for statistical methods. Source: over 1 year ago
  • How to forecast or predict data?
    It sounds like you need something that mostly runs itself, without you necessarily needing to have in-depth knowledge of time series modeling. If you have an AWS account, I'd recommend checking out Amazon Forecast. One of the recommendations I saw in this thread is to run auto.arima in R. That's actually one of the algorithms AWS will run for you, among others. I don't know if it handles differencing and... Source: over 2 years ago
  • AWS Machine Learning Tools in 2021
    With the help of Amazon Forecast, the forecasting technology at the heart of Amazon.com, it is now possible to build forecasting models for your own applications. - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing Q Research Software and Amazon Forecast, you can also consider the following products

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

SAS Advanced Analytics - SAS Advanced Analytics product suite covers data mining, statistical analysis, forecasting, text analytics, optimization and simulation.

machine-learning in Python - Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Board - Unified BI, CPM and predictive analytics software.

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.