Deploy Real-Time Stream Analytics with Confidence
Fast Real-Time Analytics Without Paying a Dime!
Real-time data stream processing is a game-changer for some industries. However, computing large volumes of data in real-time can be challenging and astronomically expensive, with players like AWS Managed Service for Apache Flink charging by the second.
RioDB tackles a growing necessity: Getting extreme query per second (QPS) throughput on limited hardware resources.
And yes, it’s FREE!
A data stream of 1 thousand records per second can be analyzed in real-time (1k QPS) on an AWS Nano instance for about $3 dollars/month of cloud spend. It can only get faster from there!
Let’s find out if RioDB can give you 10x performance or reduce 10x cost and complexity
Get Lightning-Fast Processing Speed
A Million Queries Per Second
RioDB employs continuous querying (Aka sliding windows), re-executing queries after receiving each record from the data stream. For example, if your data stream supplies 500k records per second, RioDB executes your query 500k times per second, or 500k QPS. It sounds overkill, but continuous processing is the only way to ensure important things get caught!
There’s a big difference between ingesting a million records per second and processing a million records per second. RioDB is not a batch-processing tool. It processes data continuously for timely and accurate detection.
Get the speed and do it right with 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. Free!
Unbeatable Performance/Price
- RioDB Software is FREE!
- 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
- Cloud option available