Databases · head to head
Amazon Aurora vs Weaviate

Amazon Aurora
Databases
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; Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection
- They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Weaviate covers Vector and keyword search.
Where they differ
Only the attributes on which Amazon Aurora and Weaviate actually diverge.
| Attribute | Amazon Aurora | Weaviate |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | AWS Cloud | Linux, Mac, Windows, Web |
| Category | Databases | Machine Learning |
| Founded | 2006 | 2019 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 Weaviate
- Vector and keyword search
- Built-in vectorizers
- GraphQL API
- Multi-tenancy
- Hybrid search
- OpenAI
- Hugging Face
- Cohere
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Amazon Aurora
- Transaction processingnot Weaviate
- Data storagenot Weaviate
- Application backendnot Weaviate
- Reportingnot Weaviate
- Data analyticsnot Weaviate
Weaviate
- Running a vector database for semantic and hybrid searchnot Amazon Aurora
- Generating and storing embeddings alongside the objects they describenot 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
Weaviate
- The free tier caps at 100,000 objects, 1 GB of memory and a single collection
- Billing is per million vector dimensions rather than per record, so wider embeddings cost proportionally more for the same object count
- Premium is a prepaid contract starting at $400 a month rather than pay as you go
- Storage rates do not fall consistently with tier, and Premium Dedicated is $0.1505 per GiB against $0.12 on the cheaper Flex plan
- The Query Agent is metered separately, free to 1,000 requests a month and $30 a month plus overage beyond
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
Weaviate
Free- Open SourceFree
- Full features
- Self-hosted
- ServerlessFree
- Managed service
- Auto-scaling
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 Weaviate if
- You need vector and keyword search.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want built-in vectorizers.
Questions people ask
- Is Amazon Aurora or Weaviate better?
- Neither clearly leads. Amazon Aurora starts at Free and Weaviate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Aurora or Weaviate?
- Amazon Aurora starts at Free and Weaviate at Free.
- Does Amazon Aurora or Weaviate run on more platforms?
- Amazon Aurora runs on AWS Cloud. Weaviate runs on Linux, Mac, Windows, 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 Weaviate is typically brought in for.
- What can Amazon Aurora do that Weaviate cannot?
- Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy. 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.
SourceWeaviate: What pricing options does Weaviate offer?
Weaviate provides a free tier with usage-based pricing, plus enterprise options. Visit the pricing page for detailed information on plans.
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.
SourceWeaviate: Does Weaviate offer customer support?
Yes, support is included with Weaviate's cloud offerings. Enterprise customers receive first-class support from their global team of experts.
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.
SourceWeaviate: Can I deploy Weaviate on my own infrastructure?
Yes. Weaviate is open source and deployment-agnostic. You can run it in your own cloud environment or use their managed cloud service.
SourceAmazon Aurora: Can Amazon Aurora scale automatically?
Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.
SourceWeaviate: What data security features does Weaviate provide?
Weaviate includes security & governance, RBAC, SOC 2 and HIPAA compliance, along with multi-tenancy and high availability for enterprise requirements.
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.
SourceWeaviate: How do I get started with Weaviate?
Sign up for their cloud tier, create your first dataset, connect an LLM, and build your AI app. Documentation and quickstart guides are available for Python, Go, TypeScript, and JavaScript.
SourceRelated pages
More on Amazon Aurora
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