⚡ Speed vs Security
Fast databases skip encryption. Encrypted databases add latency layers, key management overhead, and external dependencies. You compromise one for the other.
It's now available:
O(1) lookup on AES-256-GCM encrypted, compressed datasets.
Zero tuning. Single static binary.
The Problem
Fast databases skip encryption. Encrypted databases add latency layers, key management overhead, and external dependencies. You compromise one for the other.
High-performance engines need servers, daemons, tuning, DBA expertise, and ongoing maintenance. Simple solutions don't scale. Nothing in between exists.
Embedded databases are limited. Powerful databases require infrastructure. Deploying a capable database to edge, IoT, or air-gapped environments is an unsolved problem.
Features
RA-CHAMPI algorithm resolves key-value reads in O(1) regardless of dataset size. Tested at 100M+ rows with no latency degradation.
Encryption at rest and in transit, authenticated. No plugins, no external key managers. Every .pon file is encrypted by default.
Size reduction algorithms that dynamically adapt according to the density and repetitiveness of the JSON structure, optimizing storage without sacrificing decompression speed.
Each .pon file can be bound to specific physical hardware. Data that physically cannot run anywhere else. Built-in DRM at the storage layer.
More options
Benchmark
Pricing
Unlimited Instances.
one-time · per machine
only few licenses remain, act now!
after that the regular price will be $1,598
custom · multi-node
Limits enforced by the engine itself—not by policy. The binary physically stops processing beyond your licensed tier; for example, if you try to process 100M rows with a 10M rows license, you'll only get 10M rows. The limit is based on the number of rows in the JSON file you want to process. You can process as many JSON files as you want.