vs

Amazon Neptune Analytics vs TigerGraph

Amazon Neptune Analytics: Memory-optimized AWS graph engine for fast algorithms, openCypher and vector search over large graphs. TigerGraph: Distributed MPP graph database built for deep-link analytics on very large graphs.

key differences

  • TigerGraph is built for larger datasets (≤ 1 PB) than Amazon Neptune Analytics (≤ 10 TB).
  • Horizontal scaling is none in Amazon Neptune Analytics and native in TigerGraph.
  • Transactions: Amazon Neptune Analytics offers limited ACID; TigerGraph offers full.
  • Only Amazon Neptune Analytics has in-memory.
  • Only TigerGraph has transactions, secondary indexes, stored procedures, compression, streaming ingest.

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 tigergraph for

  • +Real-time fraud and AML detection
  • +Supply chain and network analysis
  • +Customer 360 and entity resolution
  • +Recommendation engines over large catalogs

best at · Graph analytics, Traversal, Real-time analytics

overview
Primary model
Graph
Graph
Also supports
Vector
Vector
Type
Managed service
Database engine
Status
Active
Active
Developer
Amazon Web Services
TigerGraph, Inc.
First release
2023
2017
Latest version
–
4.2.5 (Sep 2, 2026)
License
ProprietaryProprietary (AWS service)
ProprietaryProprietary (free Community Edition)
Free tier
—
✓
popularity
WhichDB Score
0.0
16.6
Rank
#685
#198
GitHub stars
–
–
Stack Overflow questions
1K
38
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Large (≤ 1 PB)
Horizontal scaling
None
Native
Multi-region
None
Read replicas
ACID
Limited
Full
Consistency
Strong
Strong
Schema
Schemaless
Strict
Architecture
In memory, Serverless
Distributed, Client server
deployment
Self-hosted
—
✓
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
AWS
AWS, Google Cloud, Azure
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
GSQL, openCypher, GQL
Client languages
Python, Java, JavaScript, Go
Python (pyTigerGraph), Java, JavaScript, Go
Best for
Graph analytics, Vector search, RAG, Knowledge graph
Graph analytics, Traversal, Real-time analytics, Knowledge graph

Amazon Neptune Analytics vs TigerGraph: FAQ

What is the difference between Amazon Neptune Analytics and TigerGraph?

Amazon Neptune Analytics: Memory-optimized AWS graph engine for fast algorithms, openCypher and vector search over large graphs. TigerGraph: Distributed MPP graph database built for deep-link analytics on very large graphs. TigerGraph is built for larger datasets (≤ 1 PB) than Amazon Neptune Analytics (≤ 10 TB). Horizontal scaling is none in Amazon Neptune Analytics and native in TigerGraph. Transactions: Amazon Neptune Analytics offers limited ACID; TigerGraph offers full.

When should I choose Amazon Neptune Analytics over TigerGraph?

Choose Amazon Neptune Analytics for graph data science and community detection; GraphRAG on AWS; and fraud ring discovery. Choose TigerGraph for real-time fraud and AML detection; supply chain and network analysis; and customer 360 and entity resolution.

Is Amazon Neptune Analytics or TigerGraph more popular?

TigerGraph ranks #198 on the WhichDB Score (16.6/100) 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 TigerGraph open source?

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