Guidelines and Quotas - Amazon Forecast

Guidelines and Quotas

The following sections contain information about Amazon Forecast guidelines and quotas.

Supported AWS Regions

For a list of AWS Regions that support Forecast, see AWS Regions and Endpoints in the Amazon Web Services General Reference.

Compliance

For more information about Forecast compliance programs, see AWS Compliance, AWS Compliance Programs, and AWS Services in Scope by Compliance Program.

Service Quotas

Forecast has the following service quotas.

Quotas Imposed by the CreateDatasetImportJob API
Resource Default Limit Adjustable
Maximum number of files in your Amazon S3 bucket 10,000 No
Maximum cumulative size of all files in your Amazon S3 bucket 30 GB Yes
Maximum number of datasets in a dataset group 3 (1 for each type) No
Maximum number of rows in a dataset 1 billion Yes

Maximum number of columns in a target time series dataset

(required columns + additional forecast dimensions)

13 (3 + 10) No

Maximum number of columns in a related time series dataset

(required columns + additional forecast dimensions + related features)

25 (2 + 10 + 13) No
Maximum number of columns in an item metadata dataset 10 No
Quotas Imposed by the CreatePredictor API
Resource Default Limit Adjustable
Maximum number of backtest windows (EvaluationParameters) 5 No

Maximum number of time series per predictor

(number of items X number of unique values across forecast dimensions in the target time series dataset)

1,000,000 across all target time series items and dimensions.

(For instance, you can have 1,000,000 items, or 100 items in 10,000 locations, or 100 items in 100 warehouses in 100 cities.)

If you exceed 100,000 items, Forecast supports yearly, monthly, weekly, and daily frequencies instead of more granular frequencies (such as hourly).

Yes
Maximum forecast horizon The lesser of 500 data points or 1/3 of the target time series dataset length No
General Resource Quotas
Resource Default Limit Adjustable
Maximum parallel running CreateDatasetImportJob tasks 3 Yes
Maximum parallel running CreatePredictor tasks 3 Yes
Maximum parallel running CreatePredictor tasks using AutoML 3 Yes
Maximum parallel running CreatePredictorBacktestExportJob tasks 3 Yes
Maximum parallel running CreateForecast tasks 3 Yes
Maximum parallel running CreateForecastExportJob tasks 3 Yes
Maximum parallel running StopResource tasks per resource type 3 Yes
Maximum number of datasets 1500 Yes
Maximum number of dataset groups 500 Yes
Maximum number of dataset import jobs 1000 Yes
Maximum number of predictors 500 Yes
Maximum number of predictor backtest export jobs 1000 Yes
Maximum number of forecasts

10

Yes
Maximum number of forecast export jobs 1000 Yes
Maximum time for which a forecast can be queried on console or QueryForecast API 30 days No
Maximum number of tags you can add to a resource 50 No
Maximum parallel running QueryForecast API tasks

10 forecasts, including 5 created with large datasets (anything over 20GB or 100,000 items).

If you have more than 5 forecasts created with large datasets, QueryForecast can access only the 5 most recent large dataset forecasts.

No