Software · head to head
QuestDB vs Amazon Aurora

QuestDB
Software
Fast open source time-series database for high throughput ingestion
- From
- Free
- Rated
- -

Amazon Aurora
Software
MySQL and PostgreSQL-compatible relational database built for the cloud
- From
- Free
- Rated
- -
The short version
- Each has a real cost: QuestDB open-source edition lacks high-availability, distributed architecture, and enterprise security features; Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services
- They diverge on capability: QuestDB covers High Throughput Ingestion, Amazon Aurora covers MySQL/PostgreSQL Compatible.
Where they differ
Only the attributes on which QuestDB and Amazon Aurora actually diverge.
| Attribute | QuestDB | Amazon Aurora |
|---|---|---|
| Pricing model | open-source | usage-based |
| Platforms | Docker, Kubernetes, Cloud (AWS, Azure, GCP) | AWS Cloud |
| Founded | 2014 | 2006 |
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 QuestDB
- High Throughput Ingestion
- SQL Support
- Time-series Optimization
- SIMD Vectorization
- Column-oriented Storage
- Built-in Web Console
- InfluxDB Line Protocol
- PostgreSQL
Only in Amazon Aurora
- MySQL/PostgreSQL Compatible
- 5x MySQL Performance
- Auto-scaling Storage
- Global Database
- Serverless v2
- Multi-master
- Fault Tolerant
- AWS Lambda
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
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
Amazon Aurora
- Transaction processingnot QuestDB
- Data storagenot QuestDB
- Application backendnot QuestDB
- Reportingnot QuestDB
- Data analyticsnot QuestDB
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
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
Pricing, plan by plan
QuestDB
FreeNo published plan breakdown. See the QuestDB review.
Amazon Aurora
Free- Serverless v2$0.12/hour
- Auto-scaling
- Pay per ACU
- Instant scaling
- Provisioned$29/month
- Dedicated instances
- Predictable performance
- Reserved capacity
Which should you pick?
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.
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.
Questions people ask
- Is QuestDB or Amazon Aurora better?
- Neither clearly leads. QuestDB starts at Free and Amazon Aurora at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, QuestDB or Amazon Aurora?
- QuestDB starts at Free and Amazon Aurora at Free.
- Does QuestDB or Amazon Aurora run on more platforms?
- QuestDB runs on Docker, Kubernetes, Cloud (AWS, Azure, GCP). Amazon Aurora runs on AWS Cloud.
- Can I use QuestDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is QuestDB best used for?
- QuestDB is most often used for time-series analytics ingesting up to 20m rows/second from iot sensors or financial data feeds, real-time dashboarding with 32ms time-to-first-row latency for minute-level analytics, applications requiring multi-tier storage (hot ingest, real-time sql, cold parquet archive). Of those, time-series analytics ingesting up to 20m rows/second from iot sensors or financial data feeds and real-time dashboarding with 32ms time-to-first-row latency for minute-level analytics are not what Amazon Aurora is typically brought in for.
- What can QuestDB do that Amazon Aurora cannot?
- QuestDB covers High Throughput Ingestion, SQL Support, Time-series Optimization, SIMD Vectorization. Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. 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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