Comparison

Amazon Neptune vs Dgraph

On the evidence we track, Dgraph leads this comparison with a composite score of 50/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Amazon Neptune45
Dgraph50
Score
Vioscale score
Amazon Neptune45 / 100medium · 56%
Dgraph50 / 100medium · 60%
Pricing
Free tier
Amazon Neptune
Dgraph
Model
Amazon Neptunecommercial
Price level
Amazon Neptuneunknown
Dgraphfree
Transparent
Amazon Neptune
Dgraph
Integrations
Count
Amazon Neptune2
Dgraph
Reliability
Status page
Amazon Neptune
Dgraph
Adoption
Dependent repos
Amazon Neptune
Dgraph9
Github stars
Amazon Neptune
Dgraph21,780
Activity
Commits last 30d
Amazon Neptune
Dgraph13
Release
Cadence days
Amazon Neptune
Dgraph13
History
Amazon Neptune
Dgraph20 items
License
Spdx
Amazon Neptune
Language
Primary
Amazon Neptune
DgraphGo
Market
Availability

Capabilities

Feature-by-feature on the axes that matter for graph databases. “-” means undocumented, not absent.

Model
Graph model
Amazon NeptuneMulti-model
DgraphProperty graph
Query language(s)
Amazon NeptuneGremlin, openCypher, SPARQL
DgraphGraphQL
Transactions
ACID transactions
Amazon NeptuneFull
DgraphFull
Consistency model
Amazon Neptune-
DgraphStrong
Architecture
Storage
Amazon Neptune-
DgraphNative graph
Distributed / scale
Amazon NeptuneSharded
DgraphSharded
Replication / HA
Amazon Neptune
Dgraph
OLTP vs OLAP
Amazon NeptuneBoth
DgraphTransactional
Deployment
Deployment
Amazon NeptuneManaged
DgraphSelf-hosted
Search
Full-text search
Amazon NeptuneNone
DgraphBuilt-in
Built-in vector search
Amazon Neptune
Dgraph
Licensing
Licence class
Amazon NeptuneProprietary
DgraphPermissive OSS
Portability
openCypher / TinkerPop standard
Amazon Neptune
Dgraph-

What each one is

The product in its own terms, so the numbers below have context.

Amazon Neptune

A cloud-based graph database that scales serverlessly and analyzes relationships across structured and unstructured data. Designed to improve AI application accuracy through integrated GraphRAG capabilities and support for agentic memory tools.

Independently observed

Dgraph

Leader

An open-source, horizontally scalable GraphQL database providing ACID transactions and consistent replication across distributed clusters. Built for handling complex queries over large datasets with strong consistency guarantees.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Amazon Neptune

Hybrid

Pay-as-you-go pricing with on-demand, serverless, and savings plan options. No minimum fees or upfront commitments for on-demand/serverless.

  • On-demandPay-as-you-go with no commitments
    • No minimum fees
    • No upfront commitments
    • Flexible configuration
  • ServerlessServerless with automatic scaling
    • Automatic scaling
    • No minimum fees
    • No upfront commitments
  • Database Savings PlansUsage-based savings plan with 1-year commitment
    • Savings vs. on-demand
    • 1-year commitment
  • Neptune AnalyticsPer m-NCU-hour billing with pause option
    • Fast analytics on billions of connections
    • In-memory storage
    • Optimized graph algorithms
    • Low-latency queries
    • Vector search
    • +1 more
as of verify ↗

Dgraph

Leader
Open source
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Amazon Neptune
Dgraph
Linux
Amazon Neptune
Dgraph
CLI
Amazon Neptune
Dgraph
Deployment
Cloud / SaaS
Amazon Neptune
Dgraph
Self-hosted
Amazon Neptune
Dgraph

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Amazon Neptune

2 total
  • Amazon Bedrock Knowledge Bases
  • Strands AI Agents SDK
Independently observed

Dgraph

Leader

Not documented yet.

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.