It was nice to be able to create various analyzes and results. In particular, it produced more information and results than basic thoughts and ideas about ML. AWS has always been the best, and AWS forecast is truly the best. Review collected by and hosted on G2.com.

The biggest issue with AWS is money. In fact, it is expensive. There is a burden to create more performance and results for high cost. But still, AWS is the best. Review collected by and hosted on G2.com.

Amazon has developed a fantastic service to forecast the trend. This helped us with competitor analysis and identifying the sales trend. It's a highly reliable managed service from AWS. Review collected by and hosted on G2.com.

Training and walkthrough documents need improvement. Without consulting the support team, it isn't easy to start using it. And the support team's response was also not good enough. Review collected by and hosted on G2.com.

Forecast as the name suggests is a forecasting service by AWS. The reliability and accuracy of results suggested by the algorithm is super amazing. Review collected by and hosted on G2.com.

As such there are nothing for me to dislike functionality wise. The only thing that pinches is the cost of service. Review collected by and hosted on G2.com.

It eliminates the need to prepare the necessary environment in the office to perform data prediction using machine learning. When you want to do analysis using machine learning, you can easily create a demo for your company using Amazon Forecast. Review collected by and hosted on G2.com.

It is necessary to pay attention to the fact that it is important to select appropriate data and algorithms, so there is a learning cost. It is also necessary to verify whether the prediction is correct analysis. Review collected by and hosted on G2.com.

Main thing is its fully managed service and has its usecase in almost all data driven technologies. Easy to generate forecasts. Review collected by and hosted on G2.com.

At this point of time it is not very user friendly if user is new to technology. He needs to have some knowledge about ML with AWS Review collected by and hosted on G2.com.

By using Amazon Forecast you get a very clear idea of what resources you're using and what's going to be the final result at the end, and by using that you can plan ahead in advance very well. which is very good for startups. Review collected by and hosted on G2.com.

There is nothing much to dislike about Amazon Forecast if anyone doesn't like this service he can stop using it anytime he/she wants there is no such restriction to it. Review collected by and hosted on G2.com.

With Amazon Forecast, users can benefit from a fully managed service that utilizes statistical and machine learning algorithms to provide exceptional accuracy in time-series forecasting. Review collected by and hosted on G2.com.

I don't like having to pay for the service. Review collected by and hosted on G2.com.

It saves businesses valuable time and resources as it eliminates the need for manual data analysis. Review collected by and hosted on G2.com.

The complexity of setting up and configuring the platform. Review collected by and hosted on G2.com.

The dataset I provided it was a bit complex but still I was able to get accurate forecast on my requested prediction for the respective dataset Review collected by and hosted on G2.com.

At the recent, I have nothing to dislike about it Review collected by and hosted on G2.com.

Best in class from Amazon. Amazon forecast us a fully managed time series forecasting service that uses ML to predict future volume, traffic financial data etc. Can be used with AWS, it is intelligent, automatically detects the best techniques appropriate to the data and users need not have specialist knowledge. We can integrate external data sources too which is great and it also has the ability to work with the smallest granularity e.g. hourly data. So it makes it usable across wide use cases like financial services, web analytics, manufacturing, production, retail etc. We can easily run it on terabytes of data with AWS scaling capacity and integrates well with Amazon quicksight for visualization etc. Evaluation of the forecast is easy with common error metrics available like RMSE MSE etc. It is quick and also can be used for any use case. Review collected by and hosted on G2.com.

Better documentation for folks who want to experiment with the tool in further detail and tweak parameters etc. Sometimes you can run into challenges if you are a detailed user. Review collected by and hosted on G2.com.