ArcherDB
A glass circle, polygon, and tower connected by a cobalt event path

For fleet, logistics + real-time location systems

Know where every
moving asset is.
Right now.

Ingest live location events and answer radius, polygon, and latest-position queries through one replicated system—without stitching together a database and spatial cache.

Request a technical evaluation See benchmark evidence

Bring your workload, event rate, and topology. We will evaluate the fit before commercial terms.

Checked-in quick benchmarkRelease evidence / 44c87b8c

Proof before promises

Fast is a result,
not an adjective.

These figures come from ArcherDB's checked-in 10,000-event quick benchmark. They are evidence from one recorded run—not a blanket performance guarantee. Your evaluation should use your hardware, topology, and query mix.

Insert throughput
342,061events / second
UUID query
1.22ms / p99
Radius query
2.04ms / p99
Polygon query
1.42ms / p99

Five maintained client SDKs: C, Go, Java, Node.js, and Python.

Request the benchmark package
Spatial chronographS2 / LSM / VSR

Three ways to ask where.

01 / Radius

Find events within a distance of a point.

02 / Polygon

Search events inside an operational boundary.

03 / Latest

Read the most recent event for each entity.

Three spatial query signal diagrams: radius, polygon, and latest event

Inside the motion engine

Event in.
Position out.

One ordered path through spatial indexing, append-heavy storage, and replicated state.

  1. 01Index / S2Location events are mapped into hierarchical cells for fast spatial queries.
  2. 02Store / LSMLog-structured storage is tuned for sustained ingestion and reads.
  3. 03Replicate / VSRViewstamped Replication keeps ordered state across a trusted network.
Exploded glass machine showing S2 indexing, LSM storage, and three replicated nodes
Event path / indexed, stored, replicated
Developer surfaceFive client SDKs

Client SDKs

C client

Low-level control for latency-sensitive systems and embedded service layers.

Start a single-node cluster
01. ./zig/download.sh
02. ./zig/zig build
03. ./zig-out/bin/archerdb format --cluster=0 --replica=0 --replica-count=1 data.archerdb
04. ./zig-out/bin/archerdb start --addresses=3000 data.archerdb

ArcherDB Commercial Edition

Prove the fit
before you commit.

Bring your event volume, query mix, and deployment topology. Cyber Labs will scope a private technical evaluation and commercial agreement around the system you actually need.

Request a technical evaluation

No public signup. No generic pricing. A technical conversation first.

A pale technical wireframe of the ArcherDB mark