Technology Partner

Streams in microseconds. Queries in milliseconds.

LaserData is a hyper-efficient streaming platform built on Apache Iggy, written in Rust, and engineered around io_uring and a thread-per-core model. Paired with VeloDB, every event you publish is queryable in SQL within milliseconds — perfect for trading, observability, and AI workloads where every millisecond counts.

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// About LaserData

What LaserData does

LaserData is purpose-built for raw throughput and predictable tail latency: zero-copy deserialization, no garbage collection, and a persistent append-only log. It runs anywhere — managed, BYOC, or fully on-premise — and stays operationally lean while pushing P99 latency under a millisecond.

CategoryStreaming · Real-time messaging

Built onApache Iggy · Rust · io_uring

P99 latencySub-millisecond

DeploymentManaged, BYOC on AWS and GCP

// Better Together

Why VeloDB + LaserData

End-to-end ultra-low latency

LaserData delivers events in microseconds; VeloDB serves SQL on them in milliseconds. The combined path makes "just-published" data instantly queryable.

Predictable performance

Thread-per-core, io_uring, and zero-copy paths in LaserData pair with VeloDB’s columnar engine — both stay fast under load instead of spiking with GC pauses or scheduler jitter.

Deploy where your data lives

Run LaserData managed, in your own cloud, or on-prem. VeloDB matches with SaaS, BYOC, and self-hosted options — keep streaming and analytics in the same trust boundary.

Secure by design

Pull-only ingestion, full tenant isolation, encryption in transit and at rest, and flexible RBAC — multi-tenant streaming into VeloDB without compromising governance.

// Use Cases

What you can build

High-frequency trading and risk

Capture market data and order events through LaserData; query positions, exposures, and PnL in VeloDB with sub-second freshness.

Real-time observability

Stream logs, metrics, and traces at scale; serve sub-second analytical queries across services, regions, and tenants from VeloDB.

AI and agent workloads

Give agents an always-fresh, SQL-queryable view of what your systems just did — backed by a streaming layer fast enough to keep up.

// Reference Architecture

How the data flows

PRODUCERS

Apps & services

Emit events with µs latency

STREAM

LaserData

Apache Iggy · Rust · io_uring

WAREHOUSE

VeloDB

Real-time SQL analytics

CONSUMERS

Apps & agents

Dashboards · trading · AI

Ready to get started?

Tell us about your stack and use case. Our team will help you stand up VeloDB with LaserData for your environment.