High-performance analytics database
Performance for event-scale analytics.
Run complex SQL over billions of events, keep latency low under concurrency and consolidate analytical infrastructure.
- Response time
- Interactive analysis
- Concurrency
- Built for shared workloads
- Infrastructure
- Scale without server sprawl
SELECT
region,
event_type,
count() AS events,
count(DISTINCT user_id) AS users
FROM events
WHERE ts >= now() - INTERVAL 7 DAY
GROUP BY region, event_type
ORDER BY events DESC
LIMIT 100;| region | event_type | events | users |
|---|---|---|---|
| eu-west | checkout | 4,812,097 | 1,206,417 |
| us-east | search | 4,401,338 | 987,204 |
| ap-south | signup | 2,118,774 | 804,551 |
| eu-central | purchase | 1,962,118 | 712,903 |
Performance changes the economics of analytics.
RayoDB is designed to answer more questions, serve more users and require less infrastructure as data grows.
Keep analysis interactive.
Work over detailed events without turning every new question into a batch job or another precomputed table.
Serve concurrent workloads.
Keep dashboards, exploration and scheduled queries moving without building a separate system for each audience.
Consolidate infrastructure.
Use parallel hardware to process more analytical work per server and reduce the footprint required for growth.
Built for demanding analytical workloads.
Built where event scale is operational.
RayoDB was created inside NPAW, whose platform processes more than two trillion events each day. It is now built for any event-heavy business.
Measure it on your workload.
Early-access partners evaluate response time, concurrency and infrastructure needs with the engineering team.