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Tilores vs FalkorDB

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Tilores compared with FalkorDB
DetailTilores logo TiloresFalkorDB logo FalkorDB
What it doesReal-time entity resolution to unify scattered customer data Open source graph database for AI agents and GraphRAG
StageEstablished Not given
Founded2021 Not given
Based inDE US
Pricing modelContact for pricing Freemium
PricingPricing based on Unified Customer Records (UCRs) and shaped by four factors: data volume, deployment model (Managed Cloud, Your AWS Account, Another Cloud, or On-Premise), SLA and compliance requirements, and support level. Tilores Studio Free tier available for up to 100,000 records with no signup Free tier includes multi-graph, multi-tenancy and graph access control. Startup plan from $73/1GB/Month with TLS and automated backups every 12 hours. Pro plan from $350/8GB/Month with cluster deployment, high availability, multi-zone deployment and continuous persistence. Enterprise plan with tailo
Key features
  • Real-time record matching with sub-300ms ingestion
  • GraphQL and SQL API for entity queries
  • Fuzzy matching across names, addresses, IDs
  • Full data lineage and audit trail
  • Deterministic and ML-based matching
  • Prebuilt connectors for Salesforce, HubSpot, Snowflake
  • Deployment flexibility across AWS, any cloud, or on-premise
  • GDPR-compliant data processing
  • Webhooks and event streaming
  • Multi-tenant graph isolation
  • OpenCypher query compatibility
  • GraphRAG support for LLM grounding
  • Real-time fraud detection
  • Agentic AI memory and flows
  • Full-text and vector search integration
  • Native Cypher support for easy migration
  • Redis-based architecture
  • Automated backups and high availability
  • Advanced clustering and scaling
What makes it different
  • Serverless, infrastructure-agnostic platform that runs on AWS, any cloud, or on-premise without platform rebuilds
  • Charges per resolved customer, not raw records, enabling natural scaling for enterprises
  • Production-ready in days vs. years with DIY approaches or competing products
  • Persistent entity memory for AI models ensuring consistent, reliable data retrieval
  • 496× faster P99 latency than Neo4j
  • 6.3× leaner memory usage
  • Enterprise-grade reliability for production LLM apps
Community votes00
DR (Domain Rating by Ahrefs)38 +1 (up) since last check57 no change since last check
Trust Flow (Majestic)916
Citation Flow (Majestic)3437
Referring domains (Majestic)230777

6 details filled in for both companies.

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