Databases · head to head
Amazon Aurora vs ConfigCat

Amazon Aurora
Databases
MySQL and PostgreSQL-compatible relational database built for the cloud
- From
- Free
- Free plan
- Yes

ConfigCat
Developer Tools
Feature flag service priced per flag and environment with unlimited seats and unlimited monthly active users
- From
- Free
- Free plan
- Yes
The short version
- Amazon Aurora is a MySQL and PostgreSQL-compatible relational database.
- Free plans on both; paid from $0.12/mo and $110/mo.
- Only Amazon Aurora lists MySQL/PostgreSQL Compatible; only ConfigCat lists feature flags and configuration.
- Where Amazon Aurora falls short: aurora requires AWS ecosystem knowledge and integration with other AWS services.
- Prices and features on this page were last checked on 31 August 2026.
Where they differ
Only the attributes on which Amazon Aurora and ConfigCat actually diverge.
| Attribute | Amazon Aurora | ConfigCat |
|---|---|---|
| Pricing model | Usage-based | Per month by feature flag and environment count |
| Platforms | Web | Web, API, iOS, Android, Windows |
| Category | Databases | Developer Tools |
Identical on both: starting price (Free), free tier (Yes).
Not yet recorded: founded for ConfigCat.
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 ConfigCat
- Feature flags and configuration
- Percentage rollouts
- Targeting rules and segments
- Unlimited seats
- Global CDN delivery
- Audit log
- Public API and webhooks
- SDKs across languages
What people use each for
The jobs each tool is most often brought in to do.
Amazon Aurora
- Transaction processingnot ConfigCat
- Data storagenot ConfigCat
- Application backendnot ConfigCat
- Reportingnot ConfigCat
- Data analyticsnot ConfigCat
ConfigCat
- A consumer or mobile app with millions of users where per-MAU flag pricing would cost more than the flags are worthnot Amazon Aurora
- A team that wants every engineer, product manager and support agent to have a login without paying per seatnot Amazon Aurora
- Decoupling deployment from release with percentage rollouts and a kill switch, without buying an experimentation platformnot Amazon Aurora
- A small team that needs ten flags permanently and can run indefinitely on the free tiernot 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
ConfigCat
- There is no experimentation or statistical analysis engine, so teams wanting real A/B tests with significance testing must buy and integrate a separate analytics or experimentation product
- Pricing by flag count punishes exactly the hygiene you want: the Pro tier caps at 100 flags, so teams that do not aggressively retire stale flags are pushed to the 325 dollar Smart tier for housekeeping reasons rather than growth
- The free tier allows only 2 environments, which does not cover the common development, staging and production split, so almost any real deployment starts on a paid plan
- It is a smaller vendor than the category incumbents, so enterprise procurement teams will find less depth in compliance attestations, contractual terms and reference architecture than LaunchDarkly offers
- Flag evaluation relies on SDK-side caching of a CDN-delivered config, which is fast but means propagation of a change is eventually consistent rather than instant, something to understand before relying on it as an emergency kill switch
Pricing, plan by plan
Amazon Aurora
Free- Serverless v2$0.12/hour
- Auto-scaling
- Pay per ACU
- Instant scaling
- Provisioned$29/mo
- Dedicated instances
- Predictable performance
- Reserved capacity
ConfigCat
Free- Forever FreeFree
- 10 feature flags
- 2 environments and 2 products
- 2 segments
- Pro$110/mo
- 100 feature flags
- 3 environments and 3 products
- Unlimited seats and MAUs
- Smart$325/mo
- Unlimited feature flags
- Unlimited environments, products and segments
- Unlimited seats and MAUs
- Enterprise$900/mo
- Everything in Smart
- Enterprise support and controls
- Unlimited everything on flag counts
Which should you pick?
Choose Amazon Aurora if
- You need mysql/postgresql compatible.
- You want to start without paying.
- You also want 5x mysql performance.
Choose ConfigCat if
- You need feature flags and configuration.
- You want to start without paying.
- You work on Web, API, iOS, Android, Windows.
- You also want percentage rollouts.
Questions people ask
- Is Amazon Aurora or ConfigCat better?
- Neither clearly leads. Amazon Aurora starts at Free and ConfigCat at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Aurora or ConfigCat?
- Amazon Aurora starts at Free and ConfigCat at Free.
- Does Amazon Aurora or ConfigCat run on more platforms?
- Amazon Aurora runs on Web. ConfigCat runs on Web, API, iOS, Android, Windows.
- 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 ConfigCat is typically brought in for.
- What can Amazon Aurora do that ConfigCat cannot?
- Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. ConfigCat covers Feature flags and configuration, Percentage rollouts, Targeting rules and segments, Unlimited seats.
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.
SourceConfigCat: How is ConfigCat priced?
By feature flag, environment and product count. Seats, monthly active users and flag reads are unlimited on every plan.
Amazon 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.
SourceConfigCat: Is the free tier usable?
For small projects yes, but at 10 flags and 2 environments it will not cover a dev, staging and production setup.
Amazon 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.
SourceConfigCat: Can it run A/B tests?
It can split traffic, but there is no statistics engine. You need a separate analytics tool to decide a winner.
Amazon Aurora: Can Amazon Aurora scale automatically?
Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.
SourceConfigCat: How fast does a flag change take effect?
SDKs poll and cache, so changes propagate on the polling interval rather than instantly.
Amazon 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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- ConfigCat vs Oracle Database
- ConfigCat vs Google Cloud SQL
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- ConfigCat vs TimescaleDB
- ConfigCat vs Firebolt
- ConfigCat vs dbt
- ConfigCat vs EMQX
- ConfigCat vs FaunaDB
- ConfigCat vs Firebase Realtime Database
- ConfigCat vs Memcached
- ConfigCat vs Firestore
- ConfigCat vs LaunchDarkly
- ConfigCat vs Nix
- ConfigCat vs Depot
- ConfigCat vs Blacksmith
- ConfigCat vs WarpBuild
- ConfigCat vs Namespace
- ConfigCat vs OpsLevel
- ConfigCat vs Docker
- ConfigCat vs Kubernetes
- ConfigCat vs Terraform
- ConfigCat vs GitLab
- ConfigCat vs Earthly
- ConfigCat vs Prettier
- ConfigCat vs Rust
- ConfigCat vs StackBlitz
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