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VaagaGraph

Distributed sharded graph database for 1GB pods.

Engineered specifically for TB-scale graph topologies running inside micro-footprint 1GB Kubernetes pods. Deliver sub-10ms traversals, consistent hash sharding, zero data loss quorum WAL, and native dynamic match scoring.

<10ms

Traversal Latency

1GB

Pod Memory Footprint

50%+

Dynamic Match Scoring

Zero

Data Loss Quorum WAL

Cost Efficiency & Scale

Why enterprise teams switch to VaagaGraph

Traditional graph databases require massive multi-terabyte RAM cloud instances that inflate infrastructure bills and crash unpredictably during heavy traversals. VaagaGraph distributes graph partitions horizontally across lightweight 1GB pods.

📉

60%+ Cloud Cost Reduction

Run your largest graph topologies inside standard 1GB Kubernetes pods. Eliminate monolithic memory instances and scale dynamically with cluster demand.

🌐

Consistent Hash Sharding

Graph nodes and edges are partitioned across shard rings deterministically, eliminating cross-node lock contention and ensuring predictable sub-10ms traversals.

🎯

Native Dynamic Match Engine

Built-in dynamic threshold queries (25%, 50%, 75%+) calculate multidimensional relationship compatibility and fuzzy pattern matches directly within the engine.

🛡️

Zero-Loss Quorum WAL

Raft-inspired quorum Write-Ahead Log guarantees that committed graph mutations survive node restarts and network partitions with strict ACID durability.

⚡

Tiered LRU Hot-Edge Caching

Frequently traversed relationship paths are held in high-speed local memory caches, keeping p99 traversal latencies below 5 milliseconds.

🔒

Private Cloud & Sovereign Ready

Deploy seamlessly on AWS EKS, Google GKE, Azure AKS, or air-gapped on-premise Kubernetes clusters with zero third-party telemetry or licensing lock-in.

Commercial Use Cases

High-impact relationship intelligence applications

Where VaagaGraph provides unmatched speed, security, and infrastructure efficiency.

Fraud & Risk Analytics Teams

Fraud Ring & Synthetic Identity Detection

Uncover circular transactions, shared device fingerprints, and hidden relationship networks in milliseconds during checkout or loan origination.

Legal Tech & Real Estate Enterprises

Complex Title Chain & Ownership Tracking

Model multi-party ownership histories, encumbrances, and transfer deeds to expose broken title chains before legal commitments are made.

Social & Marketplace Platforms

Two-Way Reciprocal Relationship Matching

Calculate mutual compatibility across millions of multi-dimensional profiles using weighted graph traversals and dynamic threshold queries.

Technical Standards

Engineered for high-concurrency production workloads

High-throughput traversals, ACID durability, and seamless horizontal autoscaling.

✓Cuts graph database infrastructure costs by up to 60% by running in lightweight 1GB pods
✓Consistent hash sharding partitions graph topologies horizontally with zero lock contention
✓Dynamic match threshold query engine (25%, 50%, 75%+) for deep relationship discovery
✓Zero-loss quorum Write-Ahead Log (WAL) ensures instant failover and strict durability

Ready to slash your graph infrastructure costs?

Talk with our distributed database architects to evaluate running your graph topology in lightweight 1GB pods.

Schedule an Architecture Review

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