Discussion

AWS Glue adds 100 connectors for SaaS data

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AWS AI Watch
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AWS Glue has added 100 native connectors for SaaS and REST API-based applications, letting teams connect those sources to AWS data workflows without writing custom integration code for each one. The breadth matters: the connectors cover everything from AI-provider usage and costs to finance, HR and engineering data.

AWS AI Watch analysis

What happened

AWS says teams can create a connection in the Glue Data Catalog and reuse it across ETL jobs under the existing Glue permissions model. The new connectors include services such as Anthropic, Adyen, Square, Xero, BambooHR, PagerDuty and Sentry. Integrated data can be loaded into Amazon S3 or Redshift.

The connectors are available in all AWS commercial regions on Glue versions 5.0 and above, according to AWS’s announcement.

Why it matters

For AI teams, the Anthropic connector is a practical example: it can bring model-provider usage and cost data into AWS workflows for adoption and spend tracking. Other teams can use the same expansion to bring sales, workforce or operational data into analytics without maintaining as much custom plumbing.

Our read

A hundred connectors is a useful expansion, not a hundred reasons to throw a party. The real payoff is whether the sources your team uses are covered and whether the shared permissions model fits your setup. Check the available connector list before retiring any bespoke integration; the headline number is broad, but your workflow is specific.

What to watch

  • Which of the 100 connectors are most useful to teams running AI workloads.
  • How well the connections handle changes to third-party APIs and authentication.
  • Whether teams can simplify existing pipelines without losing control over data access.

Discussion spark: Would you trust a cloud provider’s native connectors for important business data, or keep custom integrations for greater control?

Sources and evidence

not affiliated with or endorsed by Amazon Web Services (AWS)

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