HX-SDP
The Structural Data Platform
Store data once. Serve every access pattern. HX-SDP replaces 8 infrastructure services with one structural representation, cutting monthly cost from $149K to $20K and eliminating 200 TB of redundant copies.
The 13-Service Illusion
Traditional infrastructure: scattered, inefficient, expensive
API Gateway
Event Stream
ETL Pipeline
Kafka Retention
Redis Cache
Vector DB
Feature Store
Search Index
GPU Cluster
KV Cache Offload
Observability
Training Pipeline
Data Lake & DR
Every access pattern demands its own copy of the data
Modern enterprise infrastructure was not designed this way on purpose. It accumulated. Each new access pattern (caching, search, ML features, vector similarity) required its own service, its own storage format, and its own copy of the same underlying data. The result is an architecture where the same information is stored up to nine times, each copy maintained by a separate team with a separate bill.
These services do not exist because the data is different. They exist because the format is.
If one representation could natively serve every access pattern, there would be no reason to copy the data at all. HolonomiX is that representation.
One representation. Every access pattern.
HolonomiX stores data in a structural format that natively serves caching, similarity search, feature serving, full-text search, event streaming, and ingestion. The data enters once and never needs to be copied, reformatted, or synced between services.
Sub-microsecond key-value reads via native RESP protocol. No separate Redis instance.
Similarity queries computed directly on compressed cores. Exact results, faster than approximate search on dense vectors.
ML features served from the same representation. No offline-to-online sync.
Text queries answered from the structural form. No separate inverted index.
Produce and consume directly. No raw byte buffer. No 7-day retention copy.
200 TB becomes approximately 1.3 TB. Storage bills drop by 99%.
Audited. Not estimated.
Every claim on this page is backed by a 109-operation feature parity audit across all 8 replaced services. The numbers below are from that audit, not projections.
Capabilities no incumbent offers
Replacing 8 services with 1 is the cost story. But the architecture also creates capabilities that are structurally impossible in a multi-service stack.
Structural fingerprinting
Every piece of data is classified by its intrinsic structure. The system knows what it can compress before it tries.
Cross-pattern queries
One query that spans caching, similarity, and full-text search simultaneously. Impossible when those are three separate systems.
Compression-aware routing
The Oracle routes data to the optimal compression strategy per value. Random noise passes through untouched.
Zero-copy serving
Features, vectors, cache entries, and search results served from one stored representation. No copy between services.
Walk through the full architecture
Step through how the current stack works, what changes with HolonomiX, and review the 109-operation feature audit.
Ready to consolidate your stack?
Request access for a pilot deployment, technical diligence, or integration discussion.