Compare tracio.ai
See how tracio.ai compares to other device fingerprinting and fraud prevention solutions.
FingerprintJS Pro
Sub-30ms Go/Rust pipeline vs 100-300ms cloud latency — built for engineering teams who measure every millisecond
- Response Time (p95): <30ms (Go/Rust) vs 100-300ms
- Browser Signals: 1,000+ (parallel collection) vs 133 (sequential)
- Processing Pipeline: ClickHouse + Kafka streaming vs Proprietary black-box
FingerprintJS OSS
Production-grade Go backend with ClickHouse persistence vs a client-only library with no server processing
- Server-Side Processing: Go/Rust backend vs No (client-only)
- Bot Detection: Bot Detection (multiple methods) vs None
- Smart Signals: Smart Signals (24) vs None
Castle.io
10x more signals at 10x lower latency — a Go/Rust stack engineered for throughput, not bolted onto Rails
- Browser Signals: 1,000+ (Device Identification) vs ~30
- Response Time: <30ms (Go/Rust) vs 150-400ms
- Client-Side Agent: Lightweight 28KB JS vs Heavy SDK
SEON
Hardware-depth fingerprinting at sub-30ms vs SEON's 200-500ms email lookups — built for latency-sensitive pipelines
- Device Fingerprinting: 1,000+ signals (parallel) vs Basic
- Response Time: <30ms (Go hot path) vs 200-500ms
- Processing Stack: Go/Rust + ClickHouse vs Java monolith
Sardine
A 3-line drop-in with sub-30ms latency and public docs vs Sardine's enterprise-only black box with undisclosed internals
- Response Time: <30ms (Go/Rust) vs 200ms+
- Developer Experience: 3-line integration vs Complex SDK + onboarding
- Device Signals: 1,000+ (documented) vs Undisclosed
reCAPTCHA
Silent device identification at sub-30ms with zero friction — no puzzles, no Google dependency, no conversion loss
- User Friction: Zero — silent collection vs Puzzles/challenges
- Response Time: <30ms vs Variable (challenge-dependent)
- Device Identification: Persistent ID (ClickHouse-backed) vs None
Why Switch to tracio.ai?
Engineering teams switch when they need raw speed, infrastructure control, and a stack they can reason about
Sub-30ms Latency
Our Go/Rust processing pipeline delivers sub-30ms p95 response times. ClickHouse columnar storage and Kafka streaming handle 2B+ events per day without breaking a sweat.
Deploy Anywhere
Self-host on your own infrastructure or use our cloud. Stateless Go workers scale horizontally — no vendor lock-in, no data leaving your perimeter.
Engineering-Grade Stack
Built on ClickHouse, Kafka, and a Go/Rust core — not a SaaS wrapper around someone else's database. Full API docs, open-source client, and 1,000+ signals collected in parallel.