Some data refuses to sit still in rows and columns. Skytable is an open-source NoSQL database that stores information in spaces and models instead of rigid tables, letting a record carry strings, numbers, nested lists, and other complex types the way your application actually thinks about them. Developers query it with BlueQL, a language that feels familiar to anyone who writes SQL but adds modern collection syntax and mandatory parameterisation that blunts injection attacks before they start. Underneath, the engine keeps working data in memory, drives multithreaded asynchronous network I/O, batches writes, and persists through a custom append-only storage layer with delayed-durability transactions that trade a tunable sliver of risk for a lot of speed. Client drivers connect applications directly, an interactive shell handles administration and exploration, authentication protects the root account and additional users, and clustering work in progress aims at the high-availability deployments larger systems expect. Teams reach for it when a document store feels too shapeless, a relational database feels too stiff, and latency budgets leave no room for either. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

With 32,800 GitHub stars, 180 contributors, and version 3.2 shipping in July 2026, SurrealDB eliminates the database zoo by unifying document, graph, relational, time-series, geospatial, and key-value data models into a single Rust binary queried through SurrealQL — an intuitive SQL-like language that handles graph traversals, record links, subqueries, and computed fields without switching between multiple database engines. Purpose-built for AI applications, it integrates vector indexing, full-text search, and hybrid retrieval that blends semantic similarity with graph and relational intelligence for context-aware RAG pipelines and recommendation engines. Real-time subscriptions and event-driven triggers push live data changes to connected clients without requiring external message brokers like Kafka. Multi-row, multi-table ACID transactions guarantee consistency while incrementally computed views deliver pre-calculated analytics without batch processing. Role-based access control with record-level permissions, JWT authentication, and multi-tenant isolation enables backend-as-a-service usage where client applications connect directly with fine-grained security. SDKs for JavaScript, Python, Go, Rust, .NET, and Java connect via WebSocket or HTTP APIs. Storage and compute separation allows deployment as an embedded library, a single-node server, or a highly-scalable distributed cluster with TiKV or FoundationDB backends. Deploy via Docker with persistent volumes on any Linux host. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Source-available licensed.