This article summarizes the different data sources the AI & Analytic Engine supports for data import.
When importing data to the Engine, users have the option to import from any of the following sources:
Data Source Type |
Data Source |
Description |
Connection |
Files
|
Local file upload |
Upload/download files from the user’s terminal (local file system) |
Import Export |
HTTP/HTTPS |
Import files from the world-wide web |
Import |
|
FTP/FTPS/SFTP |
Import files from an FTP server |
Import Export |
|
Cloud storage |
AWS S3 |
Import files from an AWS S3 bucket |
Import Export |
Google Cloud Storage |
Import files from a Google Cloud Storage bucket |
Import Export |
|
Azure Blob Storage |
Import files from an Azure Blob Storage account |
Import Export |
|
Database
|
SQL Server |
Import a table or query result from an SQL Server database Compatible with Microsoft Azure SQL |
Import Export |
MySQL |
Import a table or query result from a MySQL database Export a dataset to a MySQL database Compatible with Microsoft Azure MySQL, Amazon Aurora for MySQL, and Huawei GaussDB for MySQL |
Import Export |
|
PostgreSQL |
Import a table or query result from a PostgreSQL database Export a dataset to a PostgreSQL database Compatible with Microsoft Azure PostgreSQL, Amazon Aurora for PostgreSQL, and Google AlloyDB for PostgreSQL |
Import Export |
|
InterSystems |
Import a table or query result from an InterSystem IRIS database Export a dataset to a InterSystem IRIS database |
Import Export |
|
Oracle |
Import a table or query result from an Oracle database Export a dataset to a Oracle database |
Import Export |
|
Snowflake |
Import a table or query result from a Snowflake database Export a dataset to a Oracle database |
Import Export |
|
MongoDB |
Import a collection or query result from a MongoDB database Export a dataset to a MongoDB database |
Import Export |
|
AWS RDS |
DB types supported: MySQL, PostgreSQL, MariaDB, Oracle, SQL Server |
Import Export |
|
AWS REDSHIFT |
Import a table or query result from AWS Redshift database Export a dataset to a AWS Redshift database |
Import Export |
|
Google Cloud SQL |
DB types supported: MySQL, PostgreSQL, or SQL Server |
Import Export |
|
Google BigQuery |
Import a table or query result from Google BigQuery database Export a dataset to a Google BigQuery database |
Import Export |
|
SingleStore |
Import a table or query result from Google SingleStore database Export a dataset to a Google SingleStore database |
Import Export |
|
App |
Stripe |
Import a dataset (“object”) from a Stripe account |
Import |
Google Sheet |
Import a Google Sheet from Google Drive |
Import |
💡Data sources in the “Files” and “Cloud storage” categories support importing data from files stored in a particular type of source.
Supported file extensions are:
-
CSV (comma-separated values)
-
TSV (tab-separated values)
-
PSV (Pipe Separated Values)
-
JSON-lines
-
Parquet
For more information on changing the configurations while creating a new dataset from CSV or JSON-lines files read, how to change the configurations and schema.