# Stackhouse > AI-Native, Schema-Later Database with Automatic Evolution ## Documentation - [Stackhouse — Product Overview](https://www.stackhousedb.com/docs): AI-native, schema-later database with automatic evolution. Explore features, architecture, and API reference. - [JavaScript Functions](https://www.stackhousedb.com/docs/advanced-features/functions): Server-side compute with JavaScript/Boa - [Realtime 2.0](https://www.stackhousedb.com/docs/advanced-features/realtime): WebSocket and SSE realtime updates via Postgres LISTEN/NOTIFY - [Vector Search](https://www.stackhousedb.com/docs/advanced-features/vector-search): AI-powered vector similarity search - [API Reference](https://www.stackhousedb.com/docs/api-reference/api-reference): Complete REST API documentation - [Enterprise Connector And Agent Inventory](https://www.stackhousedb.com/docs/api-reference/enterprise-catalog): Enterprise connector and agent inventory - [WebSocket API Protocol](https://www.stackhousedb.com/docs/api-reference/websocket-api): Complete WebSocket message specification - [AI, RAG & Enterprise AI Brain](https://www.stackhousedb.com/docs/architecture-deep-dive/ai-and-rag): RAG pipeline, embeddings, Qdrant, and the Enterprise AI Brain. - [Database & Caching Layer](https://www.stackhousedb.com/docs/architecture-deep-dive/data-layer): PostgreSQL high-availability, PgBouncer, Redis caching, and cache warming. - [Architecture Deep Dive](https://www.stackhousedb.com/docs/architecture-deep-dive): Enterprise production system design for Stackhouse: 100K–10M users, cloud provider analysis, and production architecture. - [Networking, Load Balancing & Security](https://www.stackhousedb.com/docs/architecture-deep-dive/networking): Cloudflare, load balancers, rate limiting, and defense-in-depth security. - [Observability, CI/CD, DR & Auto-scaling](https://www.stackhousedb.com/docs/architecture-deep-dive/operations): Prometheus/Grafana, CI/CD, disaster recovery, backups, and auto-scaling. - [Architecture Overview & Traffic Flow](https://www.stackhousedb.com/docs/architecture-deep-dive/overview): Architecture overview, scale targets from 100K to 10M users, and request lifecycle. - [Provider Breakdown, Cost Analysis & GCP Reference](https://www.stackhousedb.com/docs/architecture-deep-dive/providers-and-costs): AWS, GCP, Hetzner, Hostinger, Heroku comparison, cost tables, and GKE manifests. - [Realtime, WebSocket & Object Storage](https://www.stackhousedb.com/docs/architecture-deep-dive/realtime-and-storage): WebSocket/SSE architecture and S3-compatible object storage. - [Indexing](https://www.stackhousedb.com/docs/core-features/indexing): Secondary indexes and performance - [Querying](https://www.stackhousedb.com/docs/core-features/querying): Query patterns and best practices - [Schema Evolution](https://www.stackhousedb.com/docs/core-features/schema-evolution): Automatic schema evolution via the Schema-Later Guard, backed by PostgreSQL ALTER TABLE - [Storage Engine](https://www.stackhousedb.com/docs/core-features/storage-engine): Stackhouse stores data in PostgreSQL via sqlx — there is no custom WAL/MemTable/SSTable engine in this codebase. - [Benchmarks](https://www.stackhousedb.com/docs/developer/benchmarks): No benchmark suite ships in this repo today — here's how to add one - [Contributing](https://www.stackhousedb.com/docs/developer/contributing): Contributing to Stackhouse - [Embedded Examples](https://www.stackhousedb.com/docs/developer/embedded-examples): Practical examples for Stackhouse's read-replica routing and failover system. - [Testing](https://www.stackhousedb.com/docs/developer/testing): Testing guide - [Architecture](https://www.stackhousedb.com/docs/getting-started/architecture): Understanding the system architecture - [Introduction to Stackhouse](https://www.stackhousedb.com/docs/getting-started/introduction): What is Stackhouse and why should you use it? - [Quick Start Guide](https://www.stackhousedb.com/docs/getting-started/quick-start): Get Stackhouse running in 5 minutes - [Authentication](https://www.stackhousedb.com/docs/security-and-ops/authentication): JWT-based authentication - [Replication](https://www.stackhousedb.com/docs/security-and-ops/replication): Read-replica registry, routing, and failover — built on Postgres, not a custom WAL engine - [Row-Level Security](https://www.stackhousedb.com/docs/security-and-ops/row-level-security): Fine-grained access control - [Stackhouse Security Documentation](https://www.stackhousedb.com/docs/security-and-ops/security): This document describes the current technical security controls on this branch and the deployment assumptions they rely on. It is not a full security program and it is not a compli - [Storage](https://www.stackhousedb.com/docs/security-and-ops/storage): File storage and buckets - [Data Model](https://www.stackhousedb.com/docs/stackhouse-billing/data-model): Stackhouse-Billing tables and how they relate to each other. - [Entitlements & Security](https://www.stackhousedb.com/docs/stackhouse-billing/entitlements): How entitlement resolution works, and security caveats to review before production. - [Experiments & Paywalls](https://www.stackhousedb.com/docs/stackhouse-billing/experiments): A/B testing, audience targeting, and visual paywall configuration in Stackhouse-Billing. - [Frontend SDKs](https://www.stackhousedb.com/docs/stackhouse-billing/frontend-sdks): JS/TS SDK, React bindings, and the embedded admin dashboard. - [Overview](https://www.stackhousedb.com/docs/stackhouse-billing/overview): A native, opt-in subscription backend for Stackhouse that mirrors RevenueCat's core server surface. - [REST API](https://www.stackhousedb.com/docs/stackhouse-billing/rest-api): Admin, customer, and public routes for Stackhouse-Billing. - [Webhooks](https://www.stackhousedb.com/docs/stackhouse-billing/webhooks): Inbound store notifications and outbound webhook delivery. - [Backup & Recovery](https://www.stackhousedb.com/docs/production/backup-recovery): Logical SQL dump backups via the /v1/admin/backups API, plus PITR's real limitations - [Deployment](https://www.stackhousedb.com/docs/production/deployment): Production deployment guide - [Monitoring](https://www.stackhousedb.com/docs/production/monitoring): Prometheus metrics, JSON summary endpoint, and structured logging - [Performance](https://www.stackhousedb.com/docs/production/performance): Tuning connection pooling and Qdrant vector search — Stackhouse has no embedded storage engine to tune ## Links - [GitHub](https://github.com/ArjavDesa912/stackhouse) - [Discord](https://discord.gg/stackhouse) - [Support](mailto:support@stackhouse.dev)