Software · head to head
Amazon Aurora vs QuestDB

Amazon Aurora
Software
MySQL and PostgreSQL-compatible relational database built for the cloud
- From
- Free
- Rated
- -

QuestDB
Software
Fast open source time-series database for high throughput ingestion
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; QuestDB open-source edition lacks high-availability, distributed architecture, and enterprise security features
- They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, QuestDB covers High Throughput Ingestion.
Where they differ
Only the attributes on which Amazon Aurora and QuestDB actually diverge.
| Attribute | Amazon Aurora | QuestDB |
|---|---|---|
| Pricing model | usage-based | open-source |
| Platforms | AWS Cloud | Docker, Kubernetes, Cloud (AWS, Azure, GCP) |
| Founded | 2006 | 2014 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 QuestDB
- High Throughput Ingestion
- SQL Support
- Time-series Optimization
- SIMD Vectorization
- Column-oriented Storage
- Built-in Web Console
- InfluxDB Line Protocol
- PostgreSQL
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Amazon Aurora
- Transaction processingnot QuestDB
- Data storagenot QuestDB
- Application backendnot QuestDB
- Reportingnot QuestDB
- Data analyticsnot QuestDB
QuestDB
- Time-series analytics ingesting up to 20M rows/second from IoT sensors or financial data feedsnot Amazon Aurora
- Real-time dashboarding with 32ms time-to-first-row latency for minute-level analyticsnot Amazon Aurora
- Applications requiring multi-tier storage (hot ingest, real-time SQL, cold Parquet archive)not 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
QuestDB
- Open-source edition lacks high-availability, distributed architecture, and enterprise security features
- Enterprise edition pricing not published; requires contacting sales for custom quote
- Ingestion limit of 20M rows/sec platform-dependent; may not scale to extreme throughput requirements
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
QuestDB
FreeNo published plan breakdown. See the QuestDB review.
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 QuestDB if
- You need high throughput ingestion.
- You want to start without paying.
- You work on Docker, Kubernetes, Cloud (AWS, Azure, GCP).
- You also want sql support.
Questions people ask
- Is Amazon Aurora or QuestDB better?
- Neither clearly leads. Amazon Aurora starts at Free and QuestDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Aurora or QuestDB?
- Amazon Aurora starts at Free and QuestDB at Free.
- Does Amazon Aurora or QuestDB run on more platforms?
- Amazon Aurora runs on AWS Cloud. QuestDB runs on Docker, Kubernetes, Cloud (AWS, Azure, GCP).
- 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 QuestDB is typically brought in for.
- What can Amazon Aurora do that QuestDB cannot?
- Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. QuestDB covers High Throughput Ingestion, SQL Support, Time-series Optimization, SIMD Vectorization. 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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