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Power BI Desktop connects to PostgreSQL through its built-in PostgreSQL database connector. For a local server, Desktop can connect directly, but a published semantic model usually needs an on-premises data gateway so the Power BI Service can reach the private network. For Aiven for PostgreSQL, use the service’s assigned host, port, database and credentials, and require TLS. A successful Desktop connection proves only that that computer can reach the database; it does not prove that scheduled refresh in the Power BI Service will work.
The workflow is therefore: connect and shape the data in Power Query, choose Import or DirectQuery deliberately, publish the model, then configure the correct gateway or cloud connection and verify network, credentials and certificate handling.
What you need before connecting
Have the following information ready before opening Power BI Desktop:
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- The PostgreSQL server host name or IP address.
- The database name and a PostgreSQL account permitted to read the required schemas and tables.
- The server port. PostgreSQL commonly uses 5432, but a non-default port is normal, especially for managed services.
- Whether the server requires SSL/TLS and, if certificate verification is enabled, the issuing CA certificate.
- For a local database that must refresh after publishing, a Windows or Linux machine that can reach PostgreSQL and can run an on-premises data gateway.
Keep the server and database identifiers consistent. If the Desktop model uses an IP address, registering the same source with a host name in the gateway can prevent Power BI from matching the model to the data source.
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Connect a local PostgreSQL database in Power BI Desktop
1. Open the native connector
- Start Power BI Desktop and select Home > Get data > PostgreSQL database.
- Enter the PostgreSQL server in Server and the database in Database. If the dialog accepts a port suffix, use the form supported by your Desktop build, such as
server.example:5433; otherwise enter the port in the separate port control. - Select Import or DirectQuery, then select OK.
Current Power BI Desktop releases include the Npgsql provider required by this connector. Microsoft says the provider has been included since December 2019; the October 2024 Desktop release incorporated Npgsql 4.0.17. On those supported releases, a separate provider installation is generally unnecessary.
2. Authenticate
Choose the authentication kind offered by the dialog. Microsoft documents database username/password and Microsoft account authentication for the PostgreSQL connector; which option is usable depends on the server configuration and your organization. Enter credentials for an account with the least privilege needed for the report. Do not put a password into a query or store it in a text file.
3. Select and shape objects
After authentication, Power BI opens Navigator. Expand the database and select the tables or views to use. Choose Load to create the model immediately or Transform Data to open Power Query and filter rows, remove columns, change types, merge queries or apply other transformations before loading.
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4. Handle encrypted local connections
If PostgreSQL is configured for SSL, enable the connector’s encrypted-connection option when it is shown. Microsoft notes that the PostgreSQL server must support SSL and that the client may need the server certificate installed in the operating system’s Trusted Root Certification Authorities store. Install the certificate through your organization’s approved process and verify the certificate chain; do not make an unencrypted connection the normal workaround for a certificate problem.
Import or DirectQuery?
Both modes are available for the PostgreSQL connector, but they make the model behave differently. There is no universal performance winner: the right choice depends on freshness requirements, query shape, source capacity and network conditions.
| Decision point | Import | DirectQuery |
|---|---|---|
| Where queries run | Power BI loads a copy into the semantic model; report interactions normally query that imported model. | Report interactions generate queries against PostgreSQL through the connector. |
| Freshness | Data changes appear after a refresh of the semantic model. | Queries can reflect more current source data, subject to connector, model and service behavior. |
| Performance factors | Interactive speed is driven largely by the imported model, while refresh duration and model size matter. | Every interaction can consume database, gateway and network capacity; indexes, query folding and concurrent users matter. |
| Use it when | Scheduled or manual refresh is acceptable and you want a self-contained analytical model. | Source freshness is important or importing the required volume is impractical, and the database can handle the workload. |
Test representative report pages with your actual schema and expected concurrency. The connector documentation establishes that both modes exist, not that one will be faster for every PostgreSQL installation.
Provider and version boundaries
Provider mismatches usually affect older installations rather than current Desktop builds:
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- Power BI Desktop releases before December 2019 require a separately installed Npgsql provider for the PostgreSQL connector.
- For that legacy manual-installation path, Microsoft specifies Npgsql 4.0.17.
- Npgsql 4.1 and later are unsupported for this connector because of .NET compatibility constraints.
- A separately installed Npgsql assembly in the Global Assembly Cache (GAC) can override the provider bundled with Power BI Desktop. If behavior changes after an Npgsql installation, check for that override before changing report queries.
Record the Desktop version and provider state when diagnosing a connection that worked on one computer but not another. Upgrading to a supported Desktop release is usually safer than mixing multiple provider versions.
Publish a local connection and make refresh work
A local PostgreSQL server is often reachable from the author’s computer but not from Microsoft’s cloud service. Publishing the report does not move the database onto the public internet. When direct service access is unavailable, use an on-premises data gateway.
1. Prepare the gateway host
- Install a supported on-premises data gateway on a machine that remains online during refresh windows.
- Verify that this machine can resolve and reach the PostgreSQL host and port through firewalls, VPN routes and any network access controls.
- Use a gateway account and PostgreSQL credentials approved by your administrator. The gateway service account needs the permissions required to run the refresh, not broad database administration rights.
The PostgreSQL connector supports cloud connections, virtual network data gateways and on-premises data gateways. Microsoft’s June 2025 on-premises gateway release includes Npgsql, so a current supported gateway normally does not need a separate provider installation.
2. Register the exact data source
In the Power BI Service, open the gateway’s data-source management page and add a PostgreSQL data source. Enter the same server and database identifiers used in the Desktop model, including the same IP address, host name and port representation. Select the matching authentication method and save the credentials.
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A mismatch such as 192.0.2.10 in Desktop and db.internal.example in the gateway can leave the semantic model without a matching data source even when both names resolve to the same machine. Treat the identifier as part of the connection definition, not as a cosmetic label.
3. Bind the published model
- Publish the report from Desktop to the intended workspace.
- Open the semantic model’s Settings in the Power BI Service and locate Gateway and cloud connections (the wording can vary slightly by service update).
- Select the gateway cluster and data source that exactly match the model’s PostgreSQL connection.
- Confirm credentials, run a manual refresh, and inspect refresh history before enabling a schedule.
If the manual refresh fails, fix that failure first. Scheduling a refresh does not bypass a blocked port, an invalid password, a stopped gateway service or a source-name mismatch.
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1. Copy the service-specific endpoint
In Aiven Console, open the PostgreSQL service overview or connection-information panel. Copy the assigned host, port, database, user name and password. Aiven assigns service ports, so do not assume that 5432 is correct. Use the value shown for your service.
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- In Power BI Desktop, select Home > Get data > PostgreSQL database.
- Enter the Aiven host and database. If the connector provides one server box, supply the host with the assigned port in the format accepted by that dialog; if it provides a separate port field, enter the copied port there.
- Select Import or DirectQuery, select OK, and authenticate with the Aiven database credentials.
- Enable the encrypted-connection option, then select tables or views in Navigator and load or transform them.
Aiven requires encrypted external PostgreSQL connections. An attempt made without TLS can therefore be rejected even when the host, port and password are correct.
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3. Understand Aiven certificate modes
Aiven documents sslmode=require as the default requirement. This mode encrypts traffic but does not verify that the server certificate belongs to the intended server. That distinction matters: encryption protects data in transit, while certificate validation helps prevent a connection to an impostor endpoint.
For certificate verification, use verify-ca or verify-full and configure the Aiven project CA certificate. verify-ca checks that the certificate chains to the configured CA. verify-full additionally verifies the server identity against the host name, so the host entered in Power BI must match the certificate’s identity. Microsoft also notes that the client may require the CA certificate in the operating system’s trusted-root store.
Choose the strongest mode your organization supports. If you temporarily use require while diagnosing a certificate chain, document that it provides encryption without certificate validation and replace it with a verified mode after the CA trust configuration is complete.
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Why Desktop succeeds while Service refresh fails
Desktop and the Power BI Service are different execution environments. Desktop uses the author’s network route, installed certificates, saved credentials and local provider. A service refresh uses either Microsoft’s cloud route or the selected gateway machine, with its own network permissions, certificate store and credentials.
Quick Recap
- Gateway not connected: confirm the gateway cluster is online and the service account is running.
- Database unreachable: test DNS resolution, TCP access to the assigned port, firewall rules, VPN routes and PostgreSQL listen/allow rules from the gateway host.
- No matching data source: compare server, port and database strings character for character between Desktop and the gateway registration.
- Permission failure: re-enter the database credentials in the gateway data source and verify that the account can read every table or view used by the model.
- Certificate failure: install the correct CA in the machine used for refresh and check whether the selected SSL mode requires certificate or host-name validation.
- Provider compatibility issue: record Desktop and gateway versions, check for a GAC-installed Npgsql override, and avoid Npgsql 4.1 or newer for this connector.
Operational checklist
- Use a dedicated read-only PostgreSQL account for the model where practical.
- Store credentials in Power BI’s credential store or gateway data-source settings, never in M queries.
- Keep Desktop, gateway and PostgreSQL driver versions within Microsoft’s supported combinations.
- Use Import only when its refresh interval and model-size implications fit the report; use DirectQuery only when the source and network can sustain interactive queries.
- For Aiven, copy the service port instead of assuming 5432 and keep TLS enabled.
- For verified Aiven TLS, distribute the project CA through your managed certificate process and use a host name compatible with
verify-full. - After every endpoint, credential or gateway change, run a manual service refresh and review its history before relying on a schedule.
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