Growing companies needing accessible self-service analytics
Give authorised teams governed models, metrics, questions, dashboards, filters, subscriptions, alerts, and documentation.
Metabase Cloud and self-hosted deployment, models, metrics, questions, dashboards, permissions, embedding, SSO, governance, and operations
Metabase development and platform services
Rokad implements, customises, embeds, governs, and operates Metabase Cloud and self-hosted analytics across models, metrics, dashboards, permissions, and applications.
Platform fit / 01
Designed for teams with a specific platform requirement.
Metabase provides accessible self-service analytics through questions, models, metrics, dashboards, subscriptions, alerts, embedding, and administration. Rokad designs the data model, metadata, permissions, collections, row and column controls, deployment, SSO, embedding, caching, performance, upgrades, backup, monitoring, and content lifecycle needed for dependable use.
Product teams embedding analytics into applications
Integrate signed or interactive analytics with tenant identity, data permissions, themes, APIs, performance, and support.
Organisations requiring self-hosted business intelligence
Operate application, database, cache, network, identity, secrets, backup, monitoring, upgrades, security, and capacity under control.
Implementation risks / 02
The platform problems Rokad is prepared to solve.
Questions and dashboards duplicate analytical logic
Filters, SQL, joins, categories, dates, metrics, segments, and business rules drift without shared models and metadata.
Collection permissions do not equal data permissions
Users can discover content while row, column, table, database, sandbox, group, and embedding boundaries remain inconsistent.
Self-hosted Metabase lacks application operations
Application database, upgrades, plugins or drivers, backups, email, cache, secrets, monitoring, scaling, and recovery are not owned.
Platform capabilities / 03
What Rokad can implement and operate.
01
Metabase Cloud and self-hosted assessment, database, model, metric, question, dashboard, group, permission, usage, migration, and governance design
02
Database connections, metadata, field types, relationships, categories, formatting, models, metrics, segments, and semantic reuse
03
Query builder, native SQL, questions, dashboards, filters, drill-through, subscriptions, alerts, caching, and analytical workflows
04
Collections, groups, data permissions, row and column controls, sandboxes where available, SSO, audit, external users, and governance
05
Static and interactive embedding, signed access, tenant context, identity, themes, SDK or API integration, and application analytics
06
Self-hosted application, database, cache, reverse proxy, containers, cloud, secrets, email, backup, monitoring, scaling, and upgrades
07
Content migration, serialization or deployment workflows where suitable, performance, adoption, support, and managed operation
Implementation system / 04
The architecture behind a dependable platform delivery.
Metabase semantic experience
Metadata, models, metrics, segments, relationships, categories, formatting, documentation, ownership, and reuse.
Analytics content
Questions, SQL, dashboards, filters, drills, subscriptions, alerts, collections, lifecycle, certification, and user guidance.
Identity and embedding
Groups, SSO, permissions, row and column controls, tenant context, signed access, themes, APIs, applications, and audit.
Metabase operations
Application database, cache, jobs, queries, drivers, email, backups, upgrades, monitoring, capacity, incidents, cost, and support.
Use cases / 05
Where this platform creates practical leverage.
Internal self-service analytics
Create governed models, metrics, questions, dashboards, collections, permissions, subscriptions, alerts, and user enablement.
Embedded customer analytics
Deliver tenant-aware dashboards and exploration inside a product with identity, data security, themes, performance, APIs, and support.
Self-hosted Metabase platform
Deploy containers, application database, cache, identity, proxy, secrets, email, backup, monitoring, security, upgrades, and recovery.
Metabase content modernisation
Rationalise duplicated questions and dashboards, introduce models and metrics, improve metadata, permissions, performance, and ownership.
Architecture / 06
Platform-specific engineering decisions and boundaries.
Models and metrics carry reusable business meaning
Centralise common joins, filters, entities, dimensions, measures, dates, definitions, metadata, documentation, and ownership before dashboard growth.
Embedding identity reaches the data boundary
Map product tenants and users through signed or interactive access, groups, row controls, database permissions, filters, audit, and validation.
The Metabase application database is protected separately
Back up configuration, users, permissions, content, settings, schedules, and metadata while treating analytical source databases independently.
Quality and governance / 07
Production controls are part of the implementation.
One governed metric definition
Business entities, dimensions, measures, time logic, filters, currency, ownership, and semantic contracts are defined once and tested.
Versioned analytical delivery
Models, reports, dashboards, permissions, data sources, environments, tests, deployment, and rollback follow controlled lifecycle practices.
Usable and trustworthy analysis
Freshness, performance, accessibility, row-level security, lineage, documentation, adoption, and decision workflows are measured.
Delivery / 08
A controlled path from assessment to operation.
Assess
Clarify the business outcome, current systems, platform constraints, data, integrations, risks, ownership, and measurable acceptance criteria.
Design
Define the platform architecture, workflow or storefront model, extensions, integrations, security, environments, and migration sequence.
Implement and validate
Build in controlled increments with testing, stakeholder review, observability, documentation, and platform-specific quality controls.
Launch and operate
Deploy safely, transfer ownership, monitor production behaviour, support users, and improve the implementation using operational evidence.
Typical platform deliverables
Metabase deployment, database, model, metric, content, permission, embedding, usage, and risk assessment
Semantic, content, identity, permission, embedding, infrastructure, deployment, and operating architecture
Production models, metrics, questions, SQL, dashboards, filters, collections, subscriptions, and alerts
SSO, groups, permissions, row and column controls, embedding, themes, APIs, and application integration
Hosting, backup, restore, monitoring, security, performance, upgrade, capacity, and incident controls
Analyst, developer, administrator, product, governance, operator, and handover documentation
Engagement models / 09
Use the delivery structure that matches the platform work.
Assessment and roadmap
A bounded review of the current platform, requirements, gaps, risks, architecture, and an executable next-stage plan.
Fixed-scope implementation
A defined integration, migration, storefront, application, workflow, or platform outcome with explicit acceptance criteria.
Embedded platform specialists
Specialists working alongside internal product, engineering, operations, marketing, data, or enterprise teams.
Managed platform evolution
Ongoing maintenance, releases, integrations, support, optimisation, governance, and roadmap execution after launch.
Related platforms and services / 10
Compare adjacent platforms or continue into the wider system.
01
Power BI
Microsoft semantic models, DAX, reports, apps, Fabric, gateways, governance, and capacity operations.
02
Tableau
Visual analytics, published data sources, dashboards, embedding, permissions, and Cloud or Server operations.
03
Looker
LookML semantic modelling, governed exploration, dashboards, embedding, Git delivery, and cloud integration.
01
Data engineering
Pipelines, platforms, warehouses, analytics engineering, BI, and governed data operations.
02
Software development
Custom applications, backends, integrations, APIs, marketplaces, and enterprise systems.
03
Managed technology services
Ongoing application, cloud, security, reliability, support, and continuous improvement.
FAQ
Metabase development and platform services
Platform scope, ownership, licences, data, integrations, security, migration, and long-term operation are clarified before delivery.
01Can Rokad self-host Metabase?
Can Rokad self-host Metabase?
Yes. We design containers or cloud hosting, application database, cache, proxy, SSO, secrets, email, backups, monitoring, security, scaling, upgrades, and recovery.
02Can Metabase be embedded in our product?
Can Metabase be embedded in our product?
Yes. We design tenant and user identity, signed or interactive embedding, data permissions, row controls, themes, APIs, performance, monitoring, and support.
03Can Rokad organise an existing Metabase instance?
Can Rokad organise an existing Metabase instance?
Yes. We inventory databases, metadata, questions, SQL, models, metrics, dashboards, collections, permissions, users, schedules, usage, performance, and duplication.
04Can Rokad manage Metabase continuously?
Can Rokad manage Metabase continuously?
Yes. Managed services can cover hosting, backups, upgrades, drivers, content, permissions, users, embedding, performance, incidents, monitoring, and new analytics.
Metabase · Business intelligence
Make Metabase simple for users without leaving semantics, permissions, and operations unmanaged.
Rokad can deploy the platform, build models and dashboards, implement secure embedding, and operate hosting, upgrades, performance, and governance.
Contact / 05
Bring us the difficult technology problem.
Tell us what you need to build, improve, procure, deploy, or operate. We will respond with a practical next step.