Available connections
Amazon Glue supports the following connection types:
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Adobe Marketing Cloud Account Engagement
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Amazon Aurora (supported if the native JDBC driver is being used. Not all driver features can be leveraged)
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Amazon DocumentDB
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Amazon DynamoDB
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Amazon OpenSearch Service, for use with Amazon Glue for Spark.
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Amazon Redshift
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Azure Cosmos, for use of Azure Cosmos DB for NoSQL with Amazon Glue ETL jobs
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Azure SQL, for use with Amazon Glue for Spark.
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Facebook Ads
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Google Ads
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Google Analytics 4
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Google BigQuery, for use with Amazon Glue for Spark.
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Google Sheets
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HubSpot
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Instagram Ads
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Intercom
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JDBC
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Jira Cloud
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Kafka
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MongoDB
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MongoDB Atlas
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Oracle NetSuite
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Salesforce
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Salesforce Marketing Cloud
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Salesforce Marketing Cloud Account Engagement (previously Salesforce Pardot)
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SAP HANA, for use with Amazon Glue for Spark.
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SAP OData
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ServiceNow
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Slack
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Snapchat Ads
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Stripe
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Snowflake, for use with Amazon Glue for Spark.
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Teradata Vantage, when using Amazon Glue for Spark.
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Vertica, for use with Amazon Glue for Spark.
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Zendesk
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Zoho CRM
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Various Amazon Relational Database Service (Amazon RDS) offerings.
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Network (designates a connection to a data source that is in an Amazon Virtual Private Cloud (Amazon VPC))
With Amazon Glue Studio, you can also create a connection for a connector. A connector is an optional code package that assists with accessing data stores in Amazon Glue Studio. For more information, see Using connectors and connections with Amazon Glue Studio
For information about how to connect to on-premises databases, see How to access and analyze on-premises data stores using
Amazon Glue
Limitations
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Enterprise applications are not supported by Amazon Glue 5.0:
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Facebook Ads
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Google Ads
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Google Analytics 4
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Google Sheets
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Hubspot
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Instagram Ads
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Intercom
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Jira Cloud
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Marketo
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Oracle NetSuite
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SAP OData
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Salesforce Marketing Cloud
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Salesforce Marketing Cloud Account Engagement
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ServiceNow
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Slack
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Snapchat Ads
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Stripe
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Zendesk
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Zoho CRM
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You can't edit connections through the Amazon Glue console if you created a v2 connection using Amazon Glue APIs:
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Amazon DocumentDB
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Amazon Aurora
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MariaDB
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MongoDB Atlas
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MongoDB
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