Property Graph Database

High-performance graph data
with GPU acceleration

deltaPrism is a property graph database built for domain-specific workloads - financial transaction analysis, social network traversals, and IoT time-series - with optional CUDA-powered acceleration.

Get in touch Architecture
Benchmark Rank
3rd
Query throughput among 7
tested graph databases
36,276 ops/sec peak
36K
ops/sec peak throughput
6-8x
GPU speed multiplier
85%
Production ready
3
Domain workloads

Graph data that fits your domain

Traditional relational databases force you to flatten relationships. deltaPrism models your data the way it actually exists - as nodes, edges, and properties - then optimises query execution specifically for your use case.

Every deltaPrism deployment ships with domain-specific schema extensions: Financial, Social Network, or IoT Time-Series. Core capabilities remain consistent across all domains - ACID transactions, JWT authentication, RBAC, and dynamic schema evolution - while query patterns, indexes, and throughput tuning are tailored to the workload.

36,276
ops/sec
Query throughput
#3
benchmark rank
Among 7 graph DBs
<100ms
response target
Standard operations
ACID
transactions
Redis coordination
CUDA Acceleration

GPU-accelerated graph algorithms

Graph algorithms like PageRank and community detection are computationally expensive on CPU. deltaPrism offloads these to NVIDIA GPU via CUDA for up to 8x throughput improvement.

PageRank GPU

Influence scoring across large node graphs offloaded to NVIDIA CUDA. Results that would take seconds on CPU return in milliseconds at scale.

Community Detection GPU

Louvain algorithm parallelised on GPU. Identifies clusters in social networks, transaction groups, and device cohorts at wire speed.

11.6 GB GPU Memory

Production configuration supports 11.6 GB GPU memory allocation. CPU fallback is automatic when GPU is unavailable - no configuration changes required.

Built for three domains

Each deployment ships with domain-specific schema extensions, query templates, and throughput targets verified against benchmarks.

2,308 ops/sec

Financial Services

  • Account management and hierarchy
  • Transaction flow analysis
  • Risk assessment graph traversals
  • Fraud pattern detection
1,187 ops/sec

Social Network

  • User connections and relationships
  • Content graph and engagement
  • Recommendation traversals
  • Influence propagation analysis
797 ops/sec

IoT Time-Series

  • Device relationship topology
  • Time-series monitoring and aggregation
  • Alert propagation through device graph
  • Sensor cluster analysis

Core capabilities

All domains share a common capability foundation designed for production reliability.

ACID Transactions

Redis-coordinated distributed transactions with full atomicity, consistency, isolation, and durability guarantees.

JWT Auth + RBAC

JWT-based authentication with role-based access control at the node, edge, and property level.

Dynamic Schema

Schema evolution without structural migrations. Add node types, edge attributes, and property constraints at runtime - zero downtime.

Plugin Architecture

Extension points for custom query handlers, domain schemas, and algorithm modules. AWS S3 storage integration included.

Four-layer architecture

deltaPrism separates API handling, graph computation, persistence, and caching into distinct layers. Each layer is independently testable and deployable.

API Layer

Flask REST API with JWT middleware. Handles authentication, rate limiting, and request routing to the graph engine.

Graph Engine

Core property graph processor. Manages node traversals, edge resolution, and optional GPU dispatch for expensive algorithms.

Schema Manager

Runtime schema registry with validation, migration support, and domain extension loading.

Persistence Layer

PostgreSQL primary storage with Redis cache and transaction coordinator. Optional S3 for large graph snapshots.

Layer Technology
RuntimePython 3.9+
API FrameworkFlask REST
Primary StoragePostgreSQL 13+
Cache / TransactionsRedis 7+
GPU AccelerationNVIDIA CUDA (optional)
ContainerisationDocker + Compose
Graph AlgorithmsPageRank, Louvain (CUDA-offloaded)
AuthenticationJWT + RBAC
Object StorageAWS S3 (optional)
Test Coverage45-50% (target: 95%)
Production Readiness
85% Target: Q3 2026
Core Graph Engine
GPU Module
Domain Extensions
Test Coverage

Working with graph data at scale?

deltaPrism is in active development with domain deployments available for evaluation. Get in touch to discuss your graph data requirements.

Contact the team