vs

Amazon Neptune Analytics vs PuppyGraph

Amazon Neptune Analytics: Memory-optimized AWS graph engine for fast algorithms, openCypher and vector search over large graphs. PuppyGraph: Zero-ETL graph query engine that runs Cypher and Gremlin directly on your lakehouse and SQL tables.

key differences

  • PuppyGraph is built for larger datasets (≤ 1 PB) than Amazon Neptune Analytics (≤ 10 TB).
  • Horizontal scaling is none in Amazon Neptune Analytics and native in PuppyGraph.
  • Transactions: Amazon Neptune Analytics offers limited ACID; PuppyGraph offers none.
  • Only Amazon Neptune Analytics has vector search, in-memory, durable persistence, encryption at rest, role-based access.
  • Only PuppyGraph has columnar storage.

choose amazon-neptune-analytics for

  • +Graph data science and community detection
  • +GraphRAG on AWS
  • +Fraud ring discovery
  • +Ad-hoc analysis of Neptune Database snapshots

best at · Graph analytics, Vector search, RAG

choose puppygraph for

  • +Graph analytics over a lakehouse
  • +Cybersecurity and log relationship analysis
  • +Fraud detection on warehouse data
  • +Supply-chain lineage across existing tables

best at · Graph analytics, Traversal, Lakehouse

overview
Primary model
Graph
Graph
Also supports
Vector
–
Type
Managed service
Database engine
Status
Active
Active
Developer
Amazon Web Services
PuppyGraph, Inc.
First release
2023
2023
Latest version
–
1.16.0 (Oct 21, 2026)
License
ProprietaryProprietary (AWS service)
ProprietaryProprietary (free Developer Edition)
Free tier
—
✓
popularity
WhichDB Score
0.0
5.6
Rank
#685
#380
GitHub stars
–
–
Stack Overflow questions
1K
–
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Large (≤ 1 PB)
Horizontal scaling
None
Native
Multi-region
None
None
ACID
Limited
None
Consistency
Strong
Eventual
Schema
Schemaless
Strict
Architecture
In memory, Serverless
Distributed, Client server
deployment
Self-hosted
—
✓
Vendor-managed cloud
✓
—
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
AWS
AWS
capabilities
Transactions
—
—
Joins
—
—
Secondary indexes
—
—
Full-text search
—
—
Vector search
✓
—
Geospatial
—
—
JSON
—
—
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
—
✓
In-memory
✓
—
Durable persistence
✓
—
Compression
—
—
Encryption at rest
✓
—
Role-based access
✓
—
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
openCypher
openCypher, Gremlin
Client languages
Python, Java, JavaScript, Go
Any Neo4j driver, Any Gremlin driver
Best for
Graph analytics, Vector search, RAG, Knowledge graph
Graph analytics, Traversal, Lakehouse, OLAP

Amazon Neptune Analytics vs PuppyGraph: FAQ

What is the difference between Amazon Neptune Analytics and PuppyGraph?

Amazon Neptune Analytics: Memory-optimized AWS graph engine for fast algorithms, openCypher and vector search over large graphs. PuppyGraph: Zero-ETL graph query engine that runs Cypher and Gremlin directly on your lakehouse and SQL tables. PuppyGraph is built for larger datasets (≤ 1 PB) than Amazon Neptune Analytics (≤ 10 TB). Horizontal scaling is none in Amazon Neptune Analytics and native in PuppyGraph. Transactions: Amazon Neptune Analytics offers limited ACID; PuppyGraph offers none.

When should I choose Amazon Neptune Analytics over PuppyGraph?

Choose Amazon Neptune Analytics for graph data science and community detection; GraphRAG on AWS; and fraud ring discovery. Choose PuppyGraph for graph analytics over a lakehouse; cybersecurity and log relationship analysis; and fraud detection on warehouse data.

Is Amazon Neptune Analytics or PuppyGraph more popular?

PuppyGraph ranks #380 on the WhichDB Score (5.6/100) and Amazon Neptune Analytics ranks #685 (0.0/100). Popularity is not fit: check the requirements that matter for your project.

Are Amazon Neptune Analytics and PuppyGraph open source?

No. Amazon Neptune Analytics is proprietary, closed-source software. No. PuppyGraph is proprietary, closed-source software.