Samyama Graph - AI-Native Graph Vector Database
samyama.ai · Software Development
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Samyama Graph is a high-performance, AI-native graph vector database written in Rust that unifies four core capabilities in a single binary:
- 90% OpenCypher compatible graph querying
- Vector search with HNSW indexing for semantic search
- 14 native graph algorithms (PageRank, Dijkstra, BFS, etc.)
- Natural language querying via LLM integration
Show the rest of the publisher’s description (26 more lines)
KEY FEATURES:
- Zero garbage collection pauses (Rust memory model)
- Sub-millisecond semantic search at scale
- Multi-tenant architecture with per-tenant isolation
- Redis-compatible (RESP3 protocol)
- MCP server for AI agent integration
- Raft consensus for cluster replication and failover
- RocksDB persistence with Write-Ahead Logging
PERFORMANCE:
- 3.4 million node insertions/second
- Scales to 66M nodes / 1B edges
- SNB Interactive: 21/21 (100%)
- SNB Business Intelligence: 16/16 (100%)
- FinBench: 40/40 (100%)
- Graphalytics: 12/12 (100%)
- 1,814 passing tests, 87.8% code coverage
USE CASES:
- Fraud detection and AML (Banking)
- Clinical trial matching (Healthcare)
- Supply chain disruption modeling
- Knowledge graphs and AI/Agentic systems
- Enterprise security (MITRE ATT&CK)
EDITIONS:
Community Edition (Free - Apache 2.0): Full query engine, vector search, graph algorithms, natural language queries. For developers, startups, and researchers.
Enterprise Edition (Production Ready): Adds backup/restore with PITR, Prometheus metrics, audit trail (GDPR, SOC2), ADMIN commands, and deployment automation. Contact: enquiry@samyama.ai
License: Apache 2.0 - Free for commercial use
Highlights
Highlighted by the publisher on AWS Marketplace.
Unified graph and vector search in a single Rust binary - no GC pauses, 3.4M node insertions/sec, scales to 66M nodes and 1B edges on commodity hardware.
90% OpenCypher support with 14 native graph algorithms, HNSW semantic search, and LLM-powered natural language querying for AI and agentic systems.
Production-ready with Raft consensus, RocksDB persistence, multi-tenant isolation, MCP server for AI agents, and 1,814 passing tests at 87.8% code coverage.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Plans and pricing as listed
1 listed- Units
Refund terms
As stated by the publisher on AWS Marketplace.
This product is free and open source under the Apache 2.0 license. No payment is collected, therefore no refunds are applicable. For support or issues, contact us at enquiry@samyama.ai or visit https://samyama.dev/contact
Sources
Publisher resources
1 linkLinked repositories
1 repoUnknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.