Amazon Neptune vs FalkorDB

Amazon Neptune8.9Visit FalkorDB8.6Visit

Higher score Amazon Neptune #4 in Graph Database Hosting 8.9/10 30-day trial Free trial✓ 1 of 3 features Visit Amazon Neptune

vs

FalkorDB #7 in Graph Database Hosting 8.6/10 Free plan Free plan✓ 1 of 3 features Visit FalkorDB

• Amazon Neptune fits best

  AWS teams needing managed multi-model graph hosting

• FalkorDB fits best

  Open-source graph and GraphRAG projects

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Side by side

Feature	Amazon Neptune 8.9/10 Visit ↗	FalkorDB 8.6/10 Visit ↗
At a glance
Editor score	8.9	8.6
Ranking	#4 in Graph Database Hosting	#7 in Graph Database Hosting
Best for	AWS teams needing managed multi-model graph hosting	Open-source graph and GraphRAG projects
Pricing model	Paid	Free plan + paid
Starting price	—	$73/GB/mo
Free plan	—	✓ (best)
Free trial	30 days	—
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Linux
Support	Docs	Community, Docs
Compliance	SOC 2, HIPAA	SOC 2
Integrations	8 integrations	7 integrations
Built for	Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Amazon Neptune 1/3 · FalkorDB 1/3
High availability	Not checked yet	Not checked yet
Automated backups	Not checked yet	Not checked yet
Vector search	✓	✓
Specs
Supported engines	Not checked yet	Not checked yet
Query languages	Gremlin, openCypher, SPARQL	OpenCypher (Cypher)
Deployment scope	Not checked yet	Not checked yet
Storage limit	Not checked yet	Not checked yet
Our review
Pros	Supports Gremlin, openCypher, and SPARQL across graph models Multi-AZ failover, read replicas, backups, and point-in-time recovery Neptune Analytics adds graph algorithms and vector similarity search	OpenCypher, graph algorithms, and multiple indexing options GraphRAG SDK supports hybrid retrieval and cited answers Docker, Kubernetes, cloud, and seven official client libraries
Cons	No permanent free plan Usage-based pricing requires cost monitoring Best fit depends on the AWS ecosystem	OpenCypher extensions may reduce query portability Deployment options require architecture decisions Broad capabilities may exceed simple graph workloads
Our verdict	Amazon Neptune is a fully managed cloud graph database service for applications built on highly connected datasets. It supports property graphs through Gremlin and openCypher, and RDF graphs through SPARQL, giving teams a multi-model… Read the review →	FalkorDB is a Redis-based property graph database for developers and teams working with interconnected data. It supports nodes, relationships, labels, properties, OpenCypher queries, graph traversals, full-text indexing, range indexing,… Read the review →

Strengths and trade-offs

• Amazon Neptune — where it wins

  • Supports Gremlin, openCypher, and SPARQL across graph models
  • Multi-AZ failover, read replicas, backups, and point-in-time recovery
  • Neptune Analytics adds graph algorithms and vector similarity search

  Where it doesn't

  • No permanent free plan
  • Usage-based pricing requires cost monitoring
  • Best fit depends on the AWS ecosystem

• FalkorDB — where it wins

  • OpenCypher, graph algorithms, and multiple indexing options
  • GraphRAG SDK supports hybrid retrieval and cited answers
  • Docker, Kubernetes, cloud, and seven official client libraries

  Where it doesn't

  • OpenCypher extensions may reduce query portability
  • Deployment options require architecture decisions
  • Broad capabilities may exceed simple graph workloads

• Amazon Neptune8.9/10 · 30-day trial

  A capable AWS-managed choice for property-graph, RDF, analytics, and vector workloads.

  Visit Amazon NeptuneFull verdict →
• FalkorDB8.6/10 · Free plan

  A flexible graph database for connected data, vector search, and GraphRAG.

  Visit FalkorDBFull verdict →