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CloudBeaver GCP

tag-outline Available since 26.1

CloudBeaver GCP is a multi-user web tool for managing databases, built to work with Google Cloud Platform (GCP). It allows teams to collaborate easily and take advantage of Google Cloud infrastructure. This edition is especially useful for teams and organizations using Google Cloud environments. It provides a shared, web-based platform for managing databases, making it easier to collaborate, access, and manage data while using Google Cloud infrastructure.

CloudBeaver GCP key features

CloudBeaver GCP provides the following features for database management and team collaboration:

  • Google Cloud services

    • Cloud Explorer: Browse and connect to cloud-hosted databases. Learn more.
    • Google Cloud Storage support: Work with cloud storage from CloudBeaver. Learn more.
  • Secure access

    • Access management: Configure authentication and access control for your users. Learn more.
    • User management: Manage users, teams, and permissions. Learn more.
  • Collaboration

    • Multi-user collaboration: Let multiple users work with databases and apply permissions to their access.
    • Query history: Review previously executed queries. Learn more.
  • Data management and SQL development

    • Data filters and views: Filter and view database data. Learn more.
    • SQL development tools: Use autocomplete, syntax highlighting, and script execution in the SQL Editor. Learn more.
  • Data import and export

    • Data export: Export data to formats such as CSV and Excel. Learn more.
    • Data import: Import data from files into your databases. Learn more.
  • Data visualization

    • Entity relationship diagrams: Visualize database schemas. Learn more.
  • Query development

    • AI assistant in the SQL Editor: Use AI assistance while working with SQL. Learn more.
    • Visual query builder: Build SQL queries through a graphical interface. Learn more.

Supported databases

CloudBeaver GCP has a comprehensive set of JDBC drivers, offering connectivity to various databases without needing separate downloads and configurations.

Info

For the full list of supported databases, see Supported databases.

Subscription and licensing

CloudBeaver GCP is available through the Google Cloud Marketplace.

Your total deployment cost depends on the CloudBeaver Marketplace plan and the Google Cloud resources used by the deployment.

You get 14 days free trial with access to all CloudBeaver features. During the trial, you pay only for the Google Cloud infrastructure resources used by the deployment, such as the Compute Engine instance, persistent disks, network traffic, and any load-balancing services.

After the trial, CloudBeaver charges are billed through Google Cloud Marketplace according to the selected Marketplace pricing plan. You do not need to purchase or configure a separate CloudBeaver license.

Info

Learn more about license types.

Deployment

CloudBeaver GCP is distributed as a Google Cloud Marketplace image for Google Compute Engine.

  1. Open the CloudBeaver GCP listing in Google Cloud Marketplace and start the deployment.
  2. Select your Google Cloud project, region, zone, and machine configuration.
  3. Configure the firewall rules and network tags for the instance:

    • Allow inbound TCP port 80 for initial HTTP access.
    • Allow inbound TCP port 443 only after you configure HTTPS with a valid certificate.
    • Do not expose CloudBeaver port 8978 publicly when it is behind the web proxy.
    • Restrict source IP ranges where possible.
  4. Create the instance and open http://<external-ip>/ in a browser, where <external-ip> is the external IP address of the instance.

For production deployments, configure a DNS name, a TLS certificate, and a reverse proxy on the instance or a Google Cloud HTTPS Load Balancer. After configuring HTTPS, use https://<your-domain>/ to access CloudBeaver.

Initial setup

After the instance starts, open http://<external-ip>/ in a browser, where <external-ip> is the external IP address of the Google Cloud instance. CloudBeaver opens the initial configuration wizard, which guides you through the server setup.

Info

For more information on initial configuration, see Server configuration wizard.

Updates

CloudBeaver GCP runs as a Docker Compose cluster on your Google Cloud instance. To update it manually, connect to your instance through the Google Cloud Console or SSH, and pull the desired Docker image.

Important

CloudBeaver GCP uses Docker Compose to manage containers and volumes. Use Docker Compose for all update operations.

Technical support

For information on technical support, see CloudBeaver customer technical support.