Open-source analytics

Turn data into clear dashboards

Name: Managed Metabase Hosting and Analytics Support
Brand: Seemi Cloud

Deploy the open-source Metabase edition for visual queries, dashboards, reports, and SQL analysis, with protected access, persistent configuration, backup support, and optional Seemi analytics engineering.

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SEEMI CLOUD

Reliable infrastructure with operational safeguards built in

Secure by design Backup ready Regional choice API and agent ready

Capabilities

Designed for practical cloud operations

Self-service dashboards

Build questions, visualizations, dashboards, filters, and drill-through experiences for business users.

Visual and SQL analysis

Use the visual query builder for common questions while retaining a SQL editor for advanced analysis.

Connect business data

Connect supported databases and warehouses with network policies appropriate to the data source.

Protected web access

Use Seemi forward authentication for the compatible web interface and restrict backend data-source connectivity.

Configuration protection

Use a separate PostgreSQL service for production metadata and protect persistent configuration with supported backups.

Analytics engineering

Seemi engineers can assist with deployment, data-source setup, dashboard design, and custom analytics as a separate service.

Use cases

Built for real workloads

Choose a supported service from the catalog or bring a workload that fits your architecture.

Operational dashboards

Business intelligence

Team reporting

Database exploration

Custom analytics engagements

Analytics enablement

Make business data easier to use

Give teams visual queries, dashboards, drill-through analysis, and SQL with protected access and optional analytics engineering.

PostgreSQL required

Production Metabase SKUs require a separate PostgreSQL service for application metadata. Add both items when estimating or deploying.

Edition boundaries

This SKU uses the open-source Metabase edition. Paid Metabase features require separate licensing from Metabase.

Ready to move forward?

Deploy with confidence, or talk to an engineer first.

Review pricing, browse the live catalog, or contact Seemi Cloud for migration and enterprise engineering support.

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SERVICE AT A GLANCE

Key technical and operational facts

Concise deployment facts for evaluation. The portal configuration and applicable SKU description remain authoritative.

Application: Metabase business intelligence
Internal port: 3000/TCP by default
Public access: Managed HTTPS on 443/TCP
Application database: Separate PostgreSQL recommended for production
Data access: Customer-configured database connections
Application backup: Protect configuration database and eligible files separately
Security: Forward authentication plus Metabase permissions
Engineering: Optional dashboard, SQL, and data-platform services

FREQUENTLY ASKED QUESTIONS

Practical answers before deployment

Understand connectivity, backups, limitations, and operating responsibilities before selecting a SKU.

Does Metabase need a separate database?

For production, Metabase recommends a production-ready application database. The Seemi Metabase architecture uses or requires a separate PostgreSQL component unless the selected SKU expressly bundles one.

What is stored in the Metabase application database?

It stores users, groups, permissions, questions, dashboards, collections, alerts, subscriptions, configuration, and metadata about connected data sources.

How is Metabase protected?

The public UI can use managed HTTPS and Seemi forward authentication. Metabase users, groups, collection permissions, database permissions, sharing, and embedding settings still require careful configuration.

Does backing up the Metabase container protect dashboards?

Not by itself. Dashboards and most application configuration reside in the Metabase application database, which needs its own PostgreSQL backup and recovery plan.

Can dashboard queries affect production databases?

Yes. Complex or highly concurrent dashboards can create load on source systems. Use least-privilege credentials, appropriate models, query limits, and analytical stores where necessary.

Can Seemi create analytics and dashboards?

Yes. Seemi can separately scope data-source design, permissions, SQL models, dashboard development, data warehousing, ingestion, and migration from another BI tool.

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