Database & Data Management · head to head
Amazon Aurora vs Neo4j

Amazon Aurora
Database & Data Management
MySQL and PostgreSQL-compatible relational database built for the cloud
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Neo4j auraDB Free has no service availability SLA, no backups and no point-in-time recovery
- They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Neo4j covers Native Graph Storage.
Where they differ
Only the attributes on which Amazon Aurora and Neo4j actually diverge.
| Attribute | Amazon Aurora | Neo4j |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | AWS Cloud | Linux, Windows, Mac, Docker, Web |
| Founded | 2006 | 2007 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Database & Data Management).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Amazon Aurora
- MySQL/PostgreSQL Compatible
- 5x MySQL Performance
- Auto-scaling Storage
- Global Database
- Serverless v2
- Multi-master
- Fault Tolerant
- AWS Lambda
Only in Neo4j
- Native Graph Storage
- Cypher Query Language
- ACID Transactions
- High Availability
- Graph Data Science
- Full-text Search
- Native Indexes
- GraphQL
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Amazon Aurora
- Transaction processingnot Neo4j
- Data storagenot Neo4j
- Application backendnot Neo4j
- Reportingnot Neo4j
- Data analyticsnot Neo4j
Neo4j
- Running a managed graph database on AWS, Azure or Google Cloudnot Amazon Aurora
- Building knowledge graphs and GraphRAG retrieval for AI applicationsnot Amazon Aurora
- Fraud detection, recommendations and supply chain analysis over connected datanot Amazon Aurora
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Amazon Aurora
- Aurora requires AWS ecosystem knowledge and integration with other AWS services
- Pricing can become expensive with high-traffic applications using many read replicas
- Limited support for non-relational data types compared to NoSQL alternatives
Neo4j
- AuraDB Free has no service availability SLA, no backups and no point-in-time recovery
- AuraDB Free imposes limits on node and relationship counts and runs single-zone only
- SSO authentication and role-based access control are excluded from AuraDB Free and AuraDB Professional, starting only at Business Critical at $146 per GB per month with a 2GB minimum cluster
- AuraDB Professional starts at $65 per GB per month with a minimum 1GB cluster and caps at 128GB memory per instance
- AuraDB Professional backups are daily with only 7-day retention, against 30 days on Business Critical
- Customer managed keys and private endpoints are available only on AuraDB Virtual Dedicated Cloud, which is quote only with no published price
- Change data capture, query log forwarding, secondaries and access to Neo4j Professional Services are excluded below the Business Critical tier
- Support on AuraDB Free is community only and AuraDB Professional is best effort, with 24x7 one-hour response starting at Business Critical
- AuraDB Virtual Dedicated Cloud is sold on prepaid contract terms with enterprise commercial negotiation rather than self-serve card payment
Pricing, plan by plan
Amazon Aurora
Free- Serverless v2$0.12/hour
- Auto-scaling
- Pay per ACU
- Instant scaling
- Provisioned$29/month
- Dedicated instances
- Predictable performance
- Reserved capacity
Neo4j
Free- CommunityFree
- Single database
- Cypher queries
- APOC library
- AuraDB FreeFree
- 50K nodes
- 175K relationships
- Cloud hosted
- AuraDB Professional$65/month
- Dedicated instance
- Auto-scaling
- Enterprise support
Which should you pick?
Choose Amazon Aurora if
- You need mysql/postgresql compatible.
- You want to start without paying.
- You work on AWS Cloud.
- You also want 5x mysql performance.
Choose Neo4j if
- You need native graph storage.
- You want to start without paying.
- You work on Linux, Windows, Mac, Docker, Web.
- You also want cypher query language.
Questions people ask
- Is Amazon Aurora or Neo4j better?
- Neither clearly leads. Amazon Aurora starts at Free and Neo4j at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Aurora or Neo4j?
- Amazon Aurora starts at Free and Neo4j at Free.
- Does Amazon Aurora or Neo4j run on more platforms?
- Amazon Aurora runs on AWS Cloud. Neo4j runs on Linux, Windows, Mac, Docker, Web.
- Can I use Amazon Aurora for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Amazon Aurora best used for?
- Amazon Aurora is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what Neo4j is typically brought in for.
- What can Amazon Aurora do that Neo4j cannot?
- Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Neo4j covers Native Graph Storage, Cypher Query Language, ACID Transactions, High Availability. Both handle Web support.
Answered from the vendors’ own pages
Amazon Aurora: Is Amazon Aurora compatible with MySQL and PostgreSQL?
Yes, Amazon Aurora offers MySQL and PostgreSQL compatibility with full compatibility to their open-source counterparts, allowing you to migrate existing databases with standard tools.
SourceAmazon Aurora: What uptime SLA does Amazon Aurora provide?
Aurora is designed for up to 99.99% single-region uptime and 99.999% multi-region uptime with automatic failover.
SourceAmazon Aurora: How much does Amazon Aurora cost?
Aurora uses serverless, usage-based pricing where you pay only for consumed capacity. Typical pricing ranges from $50-70 per month for minimal setups to $400-600 per month for small production clusters.
SourceAmazon Aurora: Can Amazon Aurora scale automatically?
Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.
SourceAmazon Aurora: How many read replicas does Aurora support?
Aurora supports up to 15 low-latency read replicas for distributing read traffic across your application.
SourceRelated pages
More on Amazon Aurora
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