Database-as-a-Service Platform

Part of the worlds-biggest-software-project initiative.

An open-source, AI-native DBaaS that combines self-serve provisioning, instant branching, and scale-to-zero compute without vendor lock-in.

The Database-as-a-Service Platform provides managed database provisioning, backup, monitoring, and access control for engineering teams that want hyperscaler-grade operations without hyperscaler lock-in or pricing complexity. It targets platform/backend engineers, startup CTOs avoiding DBA overhead, and enterprises centralising multi-team database governance.

Why Database-as-a-Service Platform?

Hyperscaler lock-in and opaque pricing. AWS RDS / Aurora, Google Cloud SQL, and Azure SQL bind users to one cloud and present pricing across instance, storage, I/O, and data transfer that is difficult to forecast.
Single-engine silos. Neon, Supabase, and Turso each excel at one engine; Aiven offers many engines but lacks developer-workflow features like branching.
Branching without merging. Existing branching solutions (Neon CoW, PlanetScale deploy requests, Supabase preview branches) still require manual migration scripts to merge schema changes back to main.
Cost forecasting is universally weak. No incumbent provides transparent, predictable cost estimation before a workload runs, leaving SaaS builders guessing at per-tenant economics.
AI assistance is shallow. Console-level AI features (MongoDB Atlas Performance Advisor, Aiven AI Optimizer) are point recommendations rather than end-to-end schema, migration, and cost-optimisation workflows.

Key Features

Managed Provisioning and Operations

Managed PostgreSQL provisioning with zero manual server configuration
Automated backups with configurable retention and point-in-time recovery (PITR)
Encryption at rest (AES-256) and in transit (TLS 1.3) enforced by default
Role-based access control with per-project permission scopes
Read replica provisioning with automatic geo-routing

Developer Workflow

Instant copy-on-write database branching for CI/CD integration
Scale-to-zero compute with automatic resume on first connection
GitHub and GitLab integrations for automatic branch-per-pull-request lifecycle
REST management API (OpenAPI 3.0) with API key and OAuth 2.0 authentication
CLI tool for developer operations

AI-Assisted Database Operations

AI-assisted schema and index recommendations from query pattern analysis
Natural-language query interface in the developer console
MCP server endpoint for AI assistant integration
Anomaly detection on query patterns, locking contention, and replication lag

Observability and Multi-Engine Support

Observability export: Prometheus metrics, OpenTelemetry traces, structured logs
Multi-engine support with MySQL compatibility layer as a second engine
Standard client protocols: JDBC, ODBC, PostgreSQL/MySQL wire protocol

Multi-Tenant and Compliance (Backlog)

Database-per-tenant provisioning API for SaaS multi-tenant patterns
Cross-tenant cost attribution and optimisation dashboard
Geo-partitioning and data residency controls
Built-in pgvector-powered vector search as a first-class console feature
Automated compliance reporting for SOC 2, HIPAA, and GDPR audit requirements

AI-Native Advantage

AI is applied across the database lifecycle rather than as a single console widget. The platform analyses query patterns to propose schema and index changes and generates zero-downtime migration plans automatically. ML models trained on historical workload patterns drive predictive auto-scaling that provisions capacity before demand spikes instead of reacting to thresholds. A natural-language query interface translates plain English to optimised SQL with result explanation, and cross-tenant cost analysis recommends caching, read-replica routing, or query refactoring to minimise per-query spend.

Tech Stack & Deployment

The platform is designed around managed PostgreSQL with a Neon-compatible or self-managed backend, exposing the standard PostgreSQL wire protocol so existing JDBC, ODBC, and psql tooling works unchanged. A REST management API published via OpenAPI 3.0 supports API key and OAuth 2.0 authentication. Relevant standards include SQL:2023, JDBC/ODBC, OpenTelemetry, TLS 1.3, and OAuth 2.0 / SCIM for IAM integration. A multi-engine roadmap adds MySQL compatibility in v1.1.

Market Context

The global cloud database and DBaaS market is valued at approximately $23–35 billion in 2025 and projected to reach $50–91 billion by 2030–2034 at 15–20% CAGR (Grand View Research, IMARC Group). Incumbent pricing spans instance-based hourly billing (AWS RDS), serverless usage-based (Neon, PlanetScale Serverless, CockroachDB Serverless from ~$300/month dedicated), and flat monthly tiers (Supabase Pro $25/month, Turso Developer $4.99/month). Primary buyers are platform/backend engineers, startup CTOs, enterprise database governance teams, and data platform teams.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. See discussion for context.