SaaS and application backends
Authentication, tenant data, storage, realtime features, server functions, administration, and product APIs.
Built with Supabase
Automiq builds and audits Supabase-backed products, combining rapid managed capabilities with deliberate schema, row-level authorization, server logic, migrations, performance, backup, observability, and escape paths.
Supabase products, plans, limits, regions, backup options, and platform behavior change; current official documentation and the customer project configuration are verified.
What we build
The technology supports a business or product outcome; it is not the outcome by itself.
Authentication, tenant data, storage, realtime features, server functions, administration, and product APIs.
Review generated schemas, row-level policies, secrets, client access, functions, backups, performance, and operating ownership.
Keep rapid platform capability while adding versioned migrations, environments, tests, monitoring, and documented boundaries.
Best-fit use cases
Fit follows workload, data, team, procurement, delivery stage, and operating responsibility—not a preferred agency stack.
The team benefits from integrated data, identity, files, realtime, and APIs without operating each capability separately.
Constraints, transactions, queries, and row-level access can represent the product coherently.
Current limits, regions, extensions, auth, backups, hosting, and pricing fit the expected next stages.
Architecture pattern
The diagram exposes the surrounding application, data, control, and operating layers that a logo wall usually hides.
Integration options
Integration choices are evaluated for identity, source ownership, data contracts, failure behavior, supported APIs, and long-term operations.
Use separate public and privileged paths with server-side authorization and protected service credentials.
Connect jobs, AI, payments, messaging, and complex business logic through explicit APIs and webhooks.
Keep schemas and migrations understandable so future managed or self-operated PostgreSQL remains a credible option where features permit.
Production controls
Controls scale with failure consequence, data sensitivity, usage, and the people responsible after release.
Review auth flows, row-level policies, service keys, storage rules, functions, tenant boundaries, production access, and audit needs.
Measure queries, indexes, connections, realtime subscriptions, storage, egress, functions, logs, and plan limits.
Test policies and migrations, use separate environments, monitor errors and database health, verify backups, and document privileged operations.
Deployment models
Current vendor support, region, procurement, identity, team capability, and recovery objectives determine the final route.
A managed route when current regions, plans, features, backups, and commercial terms fit.
A higher-ownership route when supported self-hosting meets policy or infrastructure needs and the team can operate the stack.
Use managed identity and data while custom APIs, workers, AI, or integrations run in separately controlled infrastructure.
Regional platform context
Vendor features, hosting locations, commercial terms, legal entities, supported interfaces, and model or service availability can differ by country and region.
Validate which Supabase services are available in the required geography, where data and logs move, and which recovery region is permitted.
Design locale, language, dates, time zones, addresses, phone formats, currency, tax, units, accessibility, and right-to-left behavior where the product requires them.
Confirm account ownership, billing currency, provider terms, support route, service limits, deprecation policy, release windows, and international team overlap.
Alternatives
The decision guide explains when another model, framework, cloud, platform, or simpler approach may be better.
| Option | Best when | Main tradeoff |
|---|---|---|
| Supabase | Integrated PostgreSQL, auth, storage, realtime, and developer speed fit the product and operating model. | Platform limits and policy design require continued attention. |
| Managed PostgreSQL plus separate services | The team needs independent identity, storage, API, or infrastructure choices. | More assembly and operations with clearer service boundaries. |
| Firebase or another application backend | Offline-first behavior, existing ecosystem, data model, or supported managed features create a stronger fit. | Different database, query, lock-in, and migration profile. |
Delivery stages
The method is adapted to the platform and project size. A bounded integration uses lighter ceremony than a cloud migration, but the control points remain.
Map users, workflows, constraints, success measures, and the smallest valuable production milestone.
Outcome: Prioritized scope and delivery plan
Audit systems, integrations, data quality, security boundaries, and the architecture the future team can maintain.
Outcome: Architecture and risk register
Test the riskiest assumptions against representative data, measurable acceptance criteria, and real user feedback.
Outcome: Evidence-based go or adjust decision
Ship in reviewable increments with testing, access controls, observability, documentation, and clear ownership.
Outcome: Production-ready software
Release progressively, monitor real usage, train operators, and transfer repositories, infrastructure, and runbooks.
Outcome: Controlled launch and clean handover
Maintain reliability, refine workflows, manage dependencies, and keep shipping as the product and business evolve.
Outcome: A stable platform that keeps improving
Timeline and investment context
Automiq does not publish a universal duration or price for technology implementation. Discovery identifies a bounded milestone and the risks that shape it.
Tenancy, roles, joins, storage, realtime, and privileged workflows shape design and test effort.
Generated policies, missing migrations, weak environments, exposed credentials, or absent monitoring increase remediation.
Plan, database, storage, egress, functions, monitoring, external compute, support, and upgrades continue after launch.
Third-party platform, model, cloud, hosting, data, support, app-store, and usage charges remain separate unless an engagement agreement explicitly includes them.
Relevant experience
ATZ CRM offers founder-led SaaS context around tenant data, authentication, workflow permissions, integrations, and product operations. It is not represented as an unverified Supabase implementation.
founded
Recruitment · B2B SaaS experience involving AI, Web app, Workflow automation, CRM integrations.
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Direct answers about fit, alternatives, architecture, access, operations, ownership, and handover.
Yes, when the schema, policies, platform limits, region, backups, performance, support, and operating ownership fit the product. Rapid setup does not remove production design work.
Create role and tenant scenarios, test allowed and denied reads and writes, cover ownership transitions and privileged functions, and run policy tests with migrations before release.
Core PostgreSQL data and schemas can improve portability, but authentication, storage, realtime, functions, extensions, and platform-specific behavior need separate migration planning.
No official vendor partnership or certification is claimed on this page. Automiq is an independent engineering company; any future partner status should be published only with current supporting evidence.
Ownership is finalized in the engagement agreement. The intended custom-build model hands over the agreed source code, configuration, infrastructure access, architecture decisions, tests, documentation, and operating runbooks. Third-party platforms retain ownership of their own services.
Talk to the engineering team
Bring the product, workflow, current stack, constraints, and expected operating model. We will help determine whether this technology is the right fit and define the first useful milestone.