Looker Studio Native vs. Community Connectors: How to Choose

Looker Studio native and community connectors both bring data into reports, but they differ in who maintains them and how the connection is operated. A native connector may be enough for common sources. A community connector can fill a specific gap, but the provider’s authentication, pricing, limits, and support become part of the reporting system.

Start with the reporting requirement

List the source, required dimensions and metrics, history, refresh expectations, and users who need access. Then check whether a native connector provides those fields and supports the required account setup. A connector that connects successfully is not sufficient if it omits a key dimension or truncates the needed history.

For a recurring report, also consider data ownership and failure recovery. Know who can reauthorize a connection, how credentials are handled, and what happens if an account owner leaves.

What native connectors can offer

Native connectors are integrated into Looker Studio and commonly support widely used Google services and selected third-party sources. Their setup and support model may be more direct, but coverage and freshness depend on the particular connector and source.

“Native” does not mean unlimited, real time, or guaranteed to fit every use case. Review the connector’s field coverage, quotas, update cadence, and any source-side permissions.

What to evaluate in a community connector

Community connectors can be built by independent developers, software vendors, or organizations. They may expose sources or transformations not covered natively. Some are free; others require a subscription or charge based on usage. Review the provider’s terms and support track record before depending on one.

Check what access the connector requests, how it stores or proxies credentials, where data is processed, how errors are reported, and how schema changes are handled. Confirm that the account owner understands the privacy and permission implications.

Test before standardizing

Choose the connector that meets the reporting requirement with an acceptable operational burden. Reassess it when the source, privacy needs, or vendor terms change.

• Validate key totals against the source system over a known date range.
• Check freshness, row limits, pagination, filters, and field definitions.
• Test reauthorization and failure messages with the intended report owner.
• Record provider, cost, access scope, refresh expectations, and fallback plan.