Build applications without spending months assembling, securing, and maintaining backend infrastructure. TaruviBase provides a fully managed platform with structured data, authentication, centralized authorization, auto-generated REST APIs, serverless Python, and native MCP integration.
With multi-tenancy, row-level security, and audit logging built into the platform, your team can focus on developing features rather than rebuilding essential backend services.
TaruviBase brings essential backend capabilities into one managed environment, giving developers direct control over application data, logic, security, and integrations without the overhead of maintaining separate services.
Create structured data models with relationships, foreign keys, joins, hierarchy traversal, full-text search, and vector indexes for semantic search and AI-powered retrieval. Work with more than 20 query filter operators, build schemas visually, or manage changes through declarative, version-controlled migrations.
Support JWT, OAuth, SAML, and API key authentication with a centralized policy engine. Define role-based and attribute-based access controls that are enforced consistently across backend operations, with activity recorded in an audit trail.
Generate policy-aware REST endpoints directly from application schemas, with support for filters and joins. Use the JavaScript/TypeScript SDK with type generation, Python SDKs with synchronous and asynchronous clients, and an OpenAPI specification available at /spec.
Run custom Python functions through HTTPS endpoints, schedule jobs, and respond to database, authentication, and storage events. A replayable event log supports at-least-once delivery, while webhooks connect applications to external services such as Zapier, n8n, and Make.
Manage application and tenant-level storage with MIME allow-lists, signed URLs, and direct browser uploads using scoped tokens. Apply attribute-based access controls to file operations and manage credentials through encrypted, schema-validated secrets.
Build reporting capabilities using parameterized, read-only query templates with validated inputs and tenant-scoped access. Maintain visibility into application activity through audit logging without exposing unrestricted database access.
Multi-tenant applications introduce complexity that extends beyond storing customer data. Every query, permission, integration, and automated process must respect tenant boundaries and access policies.
TaruviBase addresses these requirements at the platform level. Tenant isolation, row-level security, and centralized authorization are built into the architecture rather than relying on developers to implement the same controls throughout application code.
A declarative policy engine supports role-based and attribute-based access control, while audit logging provides visibility into application activity. The result is a more consistent approach to security as applications grow in users, functionality, and complexity.
TaruviBase allows multiple applications to securely reference and work with shared data models. For example, an Employee Profile application can manage employees, departments, and organizational structures, while other applications, such as time tracking, expense management, asset management, or approvals, can reference the same underlying employee and department data.
This creates a connected application ecosystem where shared business entities can be managed centrally and reused across applications, while TaruviBase's authorization and tenant controls govern how each application accesses that data.
Firebase and Supabase offer established backend development capabilities. TaruviBase differentiates itself through an integrated approach to multi-tenancy, centralized authorization, and auditability.
| Capability | TaruviBase | Firebase | Supabase |
|---|---|---|---|
| Multi-tenancy | Built into the platform with tenant isolation | Typically requires application-level design and configuration | Typically implemented through data modeling and RLS policies |
| Cross-application shared data models | Multiple applications can securely reference shared tables, relationships, and business entities | Possible through shared backend/project design and custom application architecture | Possible through shared database/schema design and access policies |
| Authorization | Centralized declarative policy engine | Firebase Security Rules and custom claims | PostgreSQL RLS policies and application logic |
| Attribute-based access control | Native RBAC and ABAC | Configurable through rules and claims | Configurable through RLS and custom policies |
| Data access security | Platform-enforced row-level security | Security Rules for supported services | Native PostgreSQL row-level security |
| Audit logging | Built-in application audit trail | Available through Google Cloud logging services | Logging and audit options depend on service and configuration |
| Managed infrastructure | Fully managed and vendor-patched | Fully managed | Managed cloud or self-hosted |
| MCP integration | Native application MCP endpoint | MCP tooling and integration options | MCP tooling and integration options |
| Engineering support | Direct engineering assistance available through EOX Vantage | Support plans and documentation | Support plans and community resources |
For developers building applications where tenant isolation, centralized permissions, and auditability are fundamental requirements, TaruviBase provides an integrated architecture designed to reduce custom backend security work.
AI-assisted development can accelerate application creation, but generated code still needs reliable data structures, secure access controls, and backend functionality.
TaruviBase includes a native Model Context Protocol (MCP) server that connects supported AI development tools, including Cursor, Claude, Codex, Copilot, and Windsurf, directly to application backend capabilities.
Semantic schema descriptions, relationships, validation rules, and dependencies help AI tools understand your application's data model. This provides more accurate context for generating queries and working with backend functionality.
AI tool calls operate within user and tenant permissions defined by TaruviBase. Authorization, row-level security, and tenant isolation remain enforced by the platform rather than depending on AI-generated code to implement them correctly. AI activity is also recorded in the audit log.
Use AI coding tools to accelerate development while retaining access to REST APIs, SDKs, and the developer console. TaruviBase supports both AI-assisted workflows and direct development against the same backend.
Go from application setup to production ready backend endpoints without provisioning servers or assembling separate infrastructure services.
Create a TaruviBase application and define your data model using the visual schema builder, declarative migrations, or supported AI development tools through MCP.
Connect your frontend or AI development tools to TaruviBase using automatically generated REST APIs, Python or JavaScript/TypeScript SDKs, or the native MCP server.
Add serverless Python functions, configure access policies, connect integrations, and extend your application as requirements evolve.
TaruviBase provides platform-enforced tenant isolation and row-level security. Developers can define centralized authorization policies without manually implementing tenant filters and access checks throughout their application code.
TaruviBase provides automatically generated REST APIs, an OpenAPI specification, a JavaScript/TypeScript SDK with type generation, and Python SDKs supporting synchronous and asynchronous operations. Custom backend logic can be developed using serverless Python functions.
Yes. TaruviBase includes a native MCP server that allows supported AI development tools to interact with application schemas and backend functionality. Platform-defined authorization and tenant security policies continue to apply to these interactions.
TaruviBase can be used as the backend for new applications or as part of a migration from existing infrastructure. EOX Vantage engineers can provide migration assistance, including guidance on data models, application architecture, and backend integration.
Create your application, connect your development tools, and put your backend to work.