Software · head to head
YugabyteDB vs Amazon Aurora

YugabyteDB
Software
Open source distributed SQL database for cloud native apps
- 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: YugabyteDB missing PostgreSQL functions and extensions despite claiming compatibility; Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services
- They diverge on capability: YugabyteDB covers PostgreSQL Compatible, Amazon Aurora covers MySQL/PostgreSQL Compatible.
Where they differ
Only the attributes on which YugabyteDB and Amazon Aurora actually diverge.
| Attribute | YugabyteDB | Amazon Aurora |
|---|---|---|
| Pricing model | Unknown | usage-based |
| Platforms | Cloud, On-premises, Kubernetes | AWS Cloud |
| Founded | 2016 | 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 YugabyteDB
- PostgreSQL Compatible
- Distributed SQL
- Geo-distribution
- Linear Scalability
- High Availability
- ACID Transactions
- CDC Support
- 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.
YugabyteDB
- Transaction processing
- Data storage
- Application backend
- Reporting
- Data analytics
Amazon Aurora
- Transaction processing
- Data storage
- Application backend
- Reporting
- Data analytics
Both are used for transaction processing, data storage, application backend, reporting, data analytics, on those jobs the choice comes down to price and fit rather than capability.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
YugabyteDB
- Missing PostgreSQL functions and extensions despite claiming compatibility
- Not a true PostgreSQL replacement requiring schema and query compatibility testing before migration
- Requires careful isolation level management or risk data corruption in production
- Lacks built-in OLAP capabilities, requiring external systems for analytics
- Coupled compute and storage scaling reduces optimization flexibility
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
YugabyteDB
FreeNo published plan breakdown. See the YugabyteDB 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 YugabyteDB if
- You need postgresql compatible.
- You want to start without paying.
- You work on Cloud, On-premises, Kubernetes.
- You also want distributed sql.
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 YugabyteDB or Amazon Aurora better?
- Neither clearly leads. YugabyteDB 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, YugabyteDB or Amazon Aurora?
- YugabyteDB starts at Free and Amazon Aurora at Free.
- Does YugabyteDB or Amazon Aurora run on more platforms?
- YugabyteDB runs on Cloud, On-premises, Kubernetes. Amazon Aurora runs on AWS Cloud.
- Can I use YugabyteDB for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is YugabyteDB best used for?
- YugabyteDB is most often used for transaction processing, data storage, application backend, reporting.
- What can YugabyteDB do that Amazon Aurora cannot?
- YugabyteDB covers PostgreSQL Compatible, Distributed SQL, Geo-distribution, Linear Scalability. Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Both handle Web support.
Answered from the vendors’ own pages
YugabyteDB: Is YugabyteDB a true drop-in replacement for PostgreSQL?
No, YugabyteDB is PostgreSQL-compatible but not a zero-change drop-in replacement. It requires compatibility testing with queries, stored procedures, and ORM configurations before migration.
SourceAmazon 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.
SourceYugabyteDB: What isolation levels does YugabyteDB support?
YugabyteDB allows per-query selection between serializable isolation for critical operations and read-committed for analytics. However, this flexibility requires careful management to avoid accidental data corruption.
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.
SourceYugabyteDB: Does YugabyteDB support both SQL and NoSQL workloads?
Yes, YugabyteDB offers YSQL for PostgreSQL-compatible SQL and YCQL for Cassandra-like NoSQL workloads, using the same DocDB storage engine to support both simultaneously.
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.
SourceYugabyteDB: Can YugabyteDB scale compute and storage independently?
No, YugabyteDB couples compute and storage scaling, unlike TiDB which separates them. This means scaling decisions are less flexible and optimization is more complex.
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
Keep looking
Other head to heads
- YugabyteDB vs Cockroach Labs
- YugabyteDB vs PostgreSQL
- YugabyteDB vs Airtable
- YugabyteDB vs Elasticsearch
- YugabyteDB vs PlanetScale
- YugabyteDB vs Azure SQL
- YugabyteDB vs ClickHouse
- YugabyteDB vs Couchbase
- YugabyteDB vs DuckDB
- YugabyteDB vs DynamoDB
- YugabyteDB vs MariaDB
- YugabyteDB vs Oracle Database
- YugabyteDB vs Amazon RDS
- YugabyteDB vs Amazon Redshift
- YugabyteDB vs Apache Druid
- YugabyteDB vs Cassandra
- YugabyteDB vs CouchDB
- YugabyteDB vs Firebolt
- Amazon Aurora vs Cockroach Labs
- Amazon Aurora vs PostgreSQL
- Amazon Aurora vs Airtable
- Amazon Aurora vs Elasticsearch
- Amazon Aurora vs PlanetScale
- Amazon Aurora vs Azure SQL
- Amazon Aurora vs ClickHouse
- Amazon Aurora vs Couchbase
- Amazon Aurora vs DuckDB
- Amazon Aurora vs DynamoDB
- Amazon Aurora vs MariaDB
- Amazon Aurora vs Oracle Database
- Amazon Aurora vs Amazon RDS
- Amazon Aurora vs Amazon Redshift
- Amazon Aurora vs Apache Druid
- Amazon Aurora vs Cassandra
- Amazon Aurora vs CouchDB
- Amazon Aurora vs Firebolt
