If you're a data engineer, you know the struggle: building and maintaining custom API integrations just to pull data from a SaaS platform into your data lake is tedious. It distracts you from actually transforming and analyzing the data.

Well, AWS just dropped some massive news that is about to make your life a whole lot easier.

As of November 2026, AWS Glue has officially added over 100 new native connectors. This means you can now natively connect to top-tier SaaS applications, analytics platforms, and databases right out of the box.

Here is a breakdown of what this means for your ETL workflows, the full list of supported connectors, and how you can get started.

🛠️ Why This is a Big Deal

AWS Glue is already a powerhouse for serverless data integration, but the addition of these native connectors means:

  • Less Boilerplate: No more writing custom Python/Spark code just to authenticate and paginate through third-party APIs.
  • Faster Time-to-Value: You can now visually (via AWS Glue Studio) or programmatically connect to platforms like Stripe, Salesforce, Zendesk, and Google Analytics 4 in minutes.
  • Simplified Maintenance: You no longer have to worry about maintaining API scripts when third-party endpoints inevitably update or deprecate.

🔌 The Complete List of Supported Connections

Whether you are pulling marketing data, CRM logs, or financial records, AWS Glue now natively supports a massive ecosystem. Here is the full list of connection types you can now leverage:

Click to expand the full list of 100+ Connectors

  • Adobe Analytics
  • Adobe Marketo Engage
  • Adyen
  • Airship
  • Amazon Aurora (supported if the native JDBC driver is being used. Not all driver features can be leveraged)
  • Amazon DocumentDB
  • Amazon DynamoDB
  • Amazon OpenSearch Service (for use with AWS Glue for Spark)
  • Amazon Redshift
  • Amplitude
  • Amplitude Experiment
  • Anthropic
  • Apollo
  • Asana
  • Attio
  • Avalara
  • Azure Cosmos (for use of Azure Cosmos DB for NoSQL with AWS Glue ETL jobs)
  • Azure SQL (for use with AWS Glue for Spark)
  • BambooHR
  • Bitbucket
  • Blackbaud
  • Brevo
  • Brex
  • BugSnag
  • Calendly
  • Chargebee
  • Checkout.com
  • CircleCI
  • ClickUp
  • Close CRM
  • Coalesce
  • Coda
  • Constant Contact
  • Contentful
  • Copper
  • Crisp
  • Datadog
  • dbt Cloud
  • DevRev
  • Docusign Monitor
  • Domo
  • Dynatrace
  • Facebook Ads
  • Facebook Page Insights
  • Finch
  • FireHydrant
  • Fivetran
  • Folk
  • Freshdesk
  • Freshsales
  • Front
  • Fullstory
  • GetResponse
  • Ghost
  • GoCardless
  • Google Ads
  • Google Analytics 4
  • Google BigQuery (for use with AWS Glue for Spark)
  • Google Search Console
  • Google Sheets
  • Gorgias
  • Grafana
  • Gusto
  • Harness
  • Hex
  • Honeycomb
  • HubSpot
  • Insightly
  • Instagram Ads
  • Intercom
  • JDBC
  • Jenkins
  • Jira Cloud
  • Kafka
  • Kameleoon
  • Klaviyo
  • Kommo
  • Kustomer
  • LaunchDarkly
  • Lemon Squeezy
  • LinkedIn
  • LiveChatAI
  • LogRocket
  • mabl
  • Mailchimp
  • Maxio
  • Microsoft Dynamics 365 CRM
  • Microsoft Teams
  • Miro
  • Mixpanel
  • Mollie
  • Monday
  • MongoDB
  • MongoDB Atlas
  • Network (designates a connection to a data source that is in an Amazon VPC)
  • New Relic
  • Nimble
  • Nuclino
  • Octopus Deploy
  • Okta
  • Omnisend
  • Ontraport
  • Oracle NetSuite
  • Paddle
  • PagerDuty
  • Paypal
  • Pendo
  • Persona
  • Pinecone
  • Pipedrive
  • Pipeliner
  • Port
  • Postman
  • Productboard
  • QuickBooks
  • Re:amaze
  • Recurly
  • REST API (requires connection type setup)
  • Rho
  • Rollbar
  • Rootly
  • RudderStack
  • Salesforce
  • Salesforce Commerce Cloud
  • Salesforce Marketing Cloud
  • Salesforce Marketing Cloud Account Engagement (previously Pardot)
  • SAP HANA (for use with AWS Glue for Spark)
  • SAP OData
  • Sender
  • SendGrid
  • Sentry
  • ServiceNow
  • ShipBob
  • Shortcut
  • Slack
  • Smartlook
  • Smartsheet
  • Snapchat Ads
  • Snowflake (for use with AWS Glue for Spark)
  • SonarCloud
  • Square
  • Statuspage
  • Streak
  • Stripe
  • Tableau
  • Teamwork
  • Teradata Vantage (when using AWS Glue for Spark)
  • TestRail
  • Todoist
  • Trello
  • Twenty CRM
  • Twilio
  • Typeform
  • Various Amazon Relational Database Service (Amazon RDS) offerings
  • Vercel
  • Vertica (for use with AWS Glue for Spark)
  • Vonage
  • VWO
  • Weaviate
  • Webex
  • Webflow
  • WooCommerce
  • Workday Live Data Query
  • Xero
  • Zendesk
  • Zoho Books
  • Zoho CRM
  • Zoho Desk
  • Zoho Invoice
  • Zoom Meetings
  • Zuora

Note: With AWS Glue Studio, you can also create a connection for a connector (an optional code package that assists with accessing data stores). Check out the AWS Big Data Blog for tutorials on accessing on-premises data stores.

⚙️ How to Connect (The Technical Details)

Setting up these connections is straightforward. AWS has detailed the process in their official documentation for console connections.

VPC Configuration & IAM Roles

If you are querying data securely from sources within a Virtual Private Cloud (VPC), you need to make sure your custom IAM role has the correct permissions.

To create a connection with a VPC configuration using a custom IAM role, ensure your policy includes these exact VPC access actions:

{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "secretsmanager:GetSecretValue", "secretsmanager:PutSecretValue", "secretsmanager:DescribeSecret", "ec2:CreateNetworkInterface", "ec2:DeleteNetworkInterface", "ec2:DescribeNetworkInterfaces", "ec2:DescribeSubnets" ], "Resource": "*" } ] }

⚠️ Important Limitations to Keep in Mind

Before you dive in, there is a known limitation regarding the console UI and API-created connections.

You cannot edit connections through the AWS Glue console if you created a v2 connection using AWS Glue APIs for the following databases:

  • Amazon DocumentDB
  • Amazon Aurora
  • MariaDB
  • MongoDB Atlas
  • MongoDB

If you automate the creation of these specific v2 database connections via infrastructure-as-code or the CLI, you will need to manage their edits the same way rather than relying on the Glue Console UI.

Conclusion

This update massively lowers the barrier for migrating data from third-party services into AWS. By natively supporting tools like Stripe, GitHub, Salesforce, and Datadog, AWS is letting data engineers focus on data modeling and insights rather than maintaining fragile API wrappers.

What do you think? Which connector are you most excited to try out first? Let me know in the comments below! 👇

If you found this useful, hit the ❤️ button and share it with your fellow data engineers!