Resources

Grow the data you start with as your system changes scale. See Alopex DB's design goal and what v0.8.9 lets you try today.

• A product-wide design goal: carry the data you start with across changes in scale
• Raft-based KVS with SQL, Vector, and Graph ETL integrated
• No data conversion or migration when switching deployment modes

A commercial feature package concept adding Security Suite, unified query and enterprise search, Observe, and distributed infrastructure to the Alopex DB OSS foundation.

• A three-layer security model for storage, data policy, and identity
• A unified model for SQL, AQL, PromQL, search, and aggregation
• An SLO-centered layer for observability, decisions, and automation

One package for the ingestion, storage, and visualization that otherwise surround OpenTelemetry.

• Unifies ingestion, storage, and dashboards in one product
• The same screen, API, and query language from embedded single-process to multiple nodes
• Skulk for metrics, Trail for traces and logs, and Chirps for routing

An embeddable time-series engine that removes the need to operate a server just for metrics.

• No separate process to deploy and operate just for metrics
• Ship it inside the application binary, all the way to edge devices
• Ingest from existing agents through InfluxDB, Prometheus, or JSON

A storage engine designed for event logs: store each record as it arrives, even when every event has a different shape.

• Storage designed around the nature of event logs
• No need to decide the shape before writing, even when every record differs
• Data is stored as Parquet for analysis with familiar tools

Microsoft GraphRAG for AWS (Bedrock + Anthropic)

• Based on Microsoft GraphRAG
• AWS Bedrock + Anthropic models
• EC2 / Fargate deployable

Java syntactic sugar with Python/Kotlin usability. Transpiles to pure Java, zero runtime.

• Java syntactic sugar → Pure Java files → Zero runtime
• Python/Julia/Kotlin-level usability
• Stats, ML, and Excel function compatibility

A Zed-style GPU-native code editor built with NimNUI and Metal. In development, Apple Silicon first.

• Direct GPU rendering via CAMetalLayer + Metal
• A native architecture built on NimNUI
• Developed Apple Silicon macOS first

A Tauri-style lightweight WebView desktop foundation in Nim. nimino-pack builds installers straight from a URL — no bundled Chromium.

• Thin FFI over official OS APIs — direct Win32+WebView2 / GTK+WebKitGTK
• Lightweight apps with no bundled Chromium or Node.js
• nimino-pack generates distributables from a URL or manifest

Day-0 speed, into the next stage. A startup proposal built around Alopex DB's design goal—and what v0.8.9 lets you try today.

• Start your MVP instantly with the zero-config embedded mode
• A design goal to reduce data conversion, migration, and rewrites as you scale
• SQL + vector search in one engine from day one — no dual AI infrastructure