Engineering deep dives, product updates, and insights from the HeliosDB team.
33 of 35 categories match or improve over v3.6.0. DELETE point −36% (1000× on a 10K-row table), IN subquery −47%, DISTINCT −45%, JOINs ~−29%. Full 35-category breakdown, three deep-dives, and open caveats.
Read more →A patch release focused on the request path: 28–37% faster pool checkout, 3.1× faster metrics reads, zero-allocation protocol parsing, and concurrent L1 cache hits.
Read more →Part 3 of the BaaS series. Three callers, three needs: long-lived servers want wire protocol, serverless workers want REST, agents want MCP. Why HeliosDB exposes all three on the same engine and how to pick per caller.
Read more →Part 2 of the BaaS series. A hands-on build: provision, schema with VECTOR(1536), seed with embeddings, per-user scoped keys, branch for a feature, time-travel to debug, self-host with the same code. No SDK, no backend.
Read more →Part 1 of the BaaS series. SQL portability isn't database portability — drivers, pools, auth, and provisioning leak through. A RESTful BaaS moves the seam to the HTTP boundary. Bootstrap in one POST, deploy anywhere, scale stateless.
Read more →Our biggest release yet: 193 crates, 14 protocol adapters, quantum-inspired optimization, and GPU acceleration for the enterprise.
Read more →A deep dive into Product Quantization and how we achieved 384x compression on high-dimensional vectors without sacrificing recall.
Read more →How zero-cost copy-on-write branching at the storage layer changes the way teams develop, test, and deploy schema changes.
Read more →Memory safety without garbage collection, fearless concurrency, and zero-cost abstractions. Here's why Rust was the only choice.
Read more →Fair, reproducible benchmarks comparing HeliosDB against PostgreSQL across OLTP, OLAP, and vector workloads on identical hardware.
Read more →A step-by-step guide to building Retrieval-Augmented Generation pipelines using HeliosDB's native vector search and SQL.
Read more →Our flagship connection router with multi-tier caching, GraphQL gateway, WASM plugins, and intelligent query routing.
Read more →How HeliosDB implements client-side encryption where even the database server cannot read your data. Security without compromise.
Read more →Real-world patterns for using AS OF queries in production: audit compliance, debugging, data recovery, and A/B testing analysis.
Read more →Row-Level Security, per-tenant resource quotas, and isolation patterns for building SaaS applications on HeliosDB.
Read more →Deploy a full-featured database at the edge: IoT sensors, mobile apps, and offline-first architectures with a ~50MB binary.
Read more →Why vector search is just the beginning. Our vision for databases that understand, predict, and adapt to your application needs.
Read more →