Turn Streaming Data Into Real-Time Decisions
Built for developers and teams who need to automate real-time decisions, RioDB is a data stream processing engine that ingests fast-moving data and triggers instant, automated actions — right out of the box.
Designed for performance where others struggle
RioDB runs effortlessly on limited hardware, with an ultra-simple setup that gets you from install to insight in minutes. No massive infrastructure, no steep learning curve. Just efficiency, simplicity, and lots of power!
A data stream of 1 thousand records per second can be analyzed in real-time (1k QPS) on a tiny AWS t4g.nano instance for about $3 dollars/month of AWS cloud spend. It can only get faster from there!
If your real-time use case starts with “Continuously scan a data stream and tell me when…” then RioDB was built for you.
It’s easy to set up, lightweight to run, and designed to deliver exactly what you need: Fast, low-cost, real-time insights.
Get Lightning-Fast Processing Speed
A Million Queries Per Second
RioDB uses continuous querying—also known as sliding windows—to re-execute queries with every incoming record. If your data stream delivers 500,000 records per second, RioDB runs your query 500,000 times per second. That’s 500k QPS. It might sound intense, but it’s the only way to reliably catch critical events in real time.
There’s a big difference between ingesting a million records per second and actually processing them. RioDB isn’t a batch processor—it’s built for continuous analytics, ensuring timely, precise detection at any scale.
Get the speed. Get the accuracy. Get RioDB.
Experience real-time data stream processing. Detect issues, anomalies, and opportunities as they happen. Automatically trigger whatever needs to happen next.
Tiny Infrastructure → Huge Processing
RioDB flies with exceptional performance on very limited hardware resources:
Scenario 1: 1k QPS
A data stream supplies a thousand records per second. A query counts requests received in the last 3 seconds and compares with the count of requests received in the past 3 minutes, to detect a sudden increase in volume. A query runs continuously (1 thousand executions per second). When the count difference exceeds a threshold, a notification will be immediately triggered.
A use case like this should fit in an AWS EC2 T4g.Nano instance for about $3 dollars per month of AWS spend, using less than 5% of CPU resources!
Scenario 2: 100k QPS, 4 windows
A data stream will supply a hundred thousand records per second, to be processed in real-time. 2 queries will run continuously (each executed a hundred thousand times per second) aggregating statistics from 4 different sliding windows and checking if formulas reach certain results. AWS SNS topics will be notified to trigger further workflows whenever conditions are met.
A use case like this should fit in an AWS EC2 C8g.Medium for about $30 dollars per month of AWS spend.
Deploy powerful real-time processing without breaking the bank!
1. Efficiency
Unbeatable Performance/Price
- RioDB Free version available
- Extremely low CPU requirements
- No persistent storage cost
2. Speed
NOT batch-processing!
- Continuous sliding windows queries
- Sub-millisecond results
- Automated actions
3. Simple
Productivity
- SQL-like. No need to code java, scala, or python
- Easy installation
- Cloud option available