# Aiven vs Amazon Aurora

Canonical: https://inetgeek.com/compare/aiven-vs-amazon-aurora/

Every value below is read from Aiven's and Amazon Aurora's own documentation. See https://inetgeek.com/methodology/ for how.

## At a glance

| Criterion | Aiven | Amazon Aurora |
| --- | --- | --- |
| Free tier | Yes — indefinite, but idle services are powered off | Yes — capped Free plan plus time-limited credits |
| Pricing model | Fixed plans quoted both monthly and hourly, with the plan setting CPU, RAM and storage together rather than metering them separately. Aiven describes the pricing as all-inclusive: backups, monitoring and support come with the plan instead of appearing as line items. Higher tiers buy node count and backup history — Business adds a standby node, Premium a second. | Pay per use with no plan fee: instances plus storage plus I/O, or ACU-hours in serverless mode. AWS's own worked example prices serverless compute at $0.12 per ACU-hour on Aurora Standard and $0.156 on Aurora I/O-Optimized in US East (N. Virginia) — the difference being whether I/O is metered separately or folded into a higher compute and storage rate. Provisioned instances also offer Reserved Instance pricing, and usage may qualify for Database Savings Plans against a committed hourly spend. |
| Regions | 153 regions across six clouds — AWS 25, Google 42, Azure 39, OVH 22, UpCloud 16, DigitalOcean 9 — counted from Aiven's own reference list, which publishes the regions and no total. No magnitude is recorded, because Aiven states on that same page that the list differs per project and that not all service types are available in every cloud and region: the number is the platform's reach, not PostgreSQL's, and a bar drawn from it would be compared against providers whose counts are engine-specific. | 34 AWS regions, the same list for the MySQL- and PostgreSQL-compatible editions. Counted from the two availability tables in Aurora's own docs, which publish the regions and no total. |
| Engine | PostgreSQL, alongside MySQL, ClickHouse, OpenSearch, Valkey, Kafka, Flink and Grafana. Aiven runs the upstream projects rather than a compatible reimplementation, which is why its own docs point at postgresql.org for per-release detail. | MySQL- and PostgreSQL-compatible. Aurora is AWS's own engine rather than a hosted build of either, so compatibility is the claim being made — existing code, tools and applications are stated to work, which is not the same as being the upstream database. |
| Database branching | Limited — a full copy from the latest backup, not copy-on-write | Limited — clones, not a branch workflow |
| Point-in-time recovery | Bounded by the plan's backup history, so 2 days on the entry paid plan and 30 at the top. Granularity is fine within that: full backups daily with write-ahead logs copied every 5 minutes or per new file, whichever comes first. | Any point inside the backup retention period, so up to 35 days. Aurora's backups are continuous and incremental against the cluster volume rather than periodic snapshots plus log replay, which is why AWS states no performance impact while they are taken. |
| Read replicas | Supported | Supported — 15 per cluster, a quota AWS will not raise |
| Backup retention | By plan: none on Hobbyist, 2 days on Startup, 14 on Business, 30 on Premium. The magnitude is Startup's 2 days, the entry paid plan. Aiven's high-availability page states 2 days for Hobbyist where the backups page states none — the backups page is the more specific of the two and is what is recorded here. | 1 to 35 days. Unlike an RDS DB instance it cannot be set to 0 — Aurora backs the cluster volume up continuously and there is no way to turn that off. |

## Where they differ

### Pricing model

- Aiven: Fixed plans quoted both monthly and hourly, with the plan setting CPU, RAM and storage together rather than metering them separately. Aiven describes the pricing as all-inclusive: backups, monitoring and support come with the plan instead of appearing as line items. Higher tiers buy node count and backup history — Business adds a standby node, Premium a second. ([source](https://aiven.io/pricing))
- Amazon Aurora: Pay per use with no plan fee: instances plus storage plus I/O, or ACU-hours in serverless mode. AWS's own worked example prices serverless compute at $0.12 per ACU-hour on Aurora Standard and $0.156 on Aurora I/O-Optimized in US East (N. Virginia) — the difference being whether I/O is metered separately or folded into a higher compute and storage rate. Provisioned instances also offer Reserved Instance pricing, and usage may qualify for Database Savings Plans against a committed hourly spend. ([source](https://aws.amazon.com/rds/aurora/pricing/))

### Regions

- Aiven: 153 regions across six clouds — AWS 25, Google 42, Azure 39, OVH 22, UpCloud 16, DigitalOcean 9 — counted from Aiven's own reference list, which publishes the regions and no total. No magnitude is recorded, because Aiven states on that same page that the list differs per project and that not all service types are available in every cloud and region: the number is the platform's reach, not PostgreSQL's, and a bar drawn from it would be compared against providers whose counts are engine-specific. ([source](https://aiven.io/docs/platform/reference/list_of_clouds))
- Amazon Aurora: 34 AWS regions, the same list for the MySQL- and PostgreSQL-compatible editions. Counted from the two availability tables in Aurora's own docs, which publish the regions and no total. ([source](https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Concepts.RegionsAndAvailabilityZones.html))

### Engine

- Aiven: PostgreSQL, alongside MySQL, ClickHouse, OpenSearch, Valkey, Kafka, Flink and Grafana. Aiven runs the upstream projects rather than a compatible reimplementation, which is why its own docs point at postgresql.org for per-release detail. ([source](https://aiven.io/docs/products/postgresql))
- Amazon Aurora: MySQL- and PostgreSQL-compatible. Aurora is AWS's own engine rather than a hosted build of either, so compatibility is the claim being made — existing code, tools and applications are stated to work, which is not the same as being the upstream database. ([source](https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_AuroraOverview.html))

### Point-in-time recovery

- Aiven: Bounded by the plan's backup history, so 2 days on the entry paid plan and 30 at the top. Granularity is fine within that: full backups daily with write-ahead logs copied every 5 minutes or per new file, whichever comes first. ([source](https://aiven.io/docs/products/postgresql/concepts/pg-backups))
- Amazon Aurora: Any point inside the backup retention period, so up to 35 days. Aurora's backups are continuous and incremental against the cluster volume rather than periodic snapshots plus log replay, which is why AWS states no performance impact while they are taken. ([source](https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Managing.Backups.html))

### Backup retention

- Aiven: By plan: none on Hobbyist, 2 days on Startup, 14 on Business, 30 on Premium. The magnitude is Startup's 2 days, the entry paid plan. Aiven's high-availability page states 2 days for Hobbyist where the backups page states none — the backups page is the more specific of the two and is what is recorded here. ([source](https://aiven.io/docs/products/postgresql/concepts/pg-backups))
- Amazon Aurora: 1 to 35 days. Unlike an RDS DB instance it cannot be set to 0 — Aurora backs the cluster volume up continuously and there is no way to turn that off. ([source](https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Managing.Backups.html))

## Which should you choose?

Pick Aiven if Teams who want more than one open-source data service from one vendor and one bill — Postgres beside Kafka, ClickHouse or OpenSearch — with the availability tier chosen per service rather than fixed.

Pick Amazon Aurora if Teams on AWS who want a Postgres or MySQL cluster that can throw off a copy-on-write clone of production in minutes, keep up to fifteen readers behind it, and pause to nothing between bursts in serverless mode.

Consider something else: Aiven — You want long recovery history on a cheap plan. Backup history is what the plan tiers buy here: two days on the entry paid plan against thirty at the top.

Consider something else: Amazon Aurora — You want the upstream database rather than a compatible one, or a branch workflow rather than a clone. AWS documents cloning as a way to build a test environment, not as something you do per pull request.

## Documented by only one

- Entry paid plan: Aiven: $5 a month for Developer — one VM, 1 CPU, 1 GB RAM, 8 GB storage, with no choice of cloud or region and no connection pooling. The first plan that behaves like a production service is Startup at $75 a month or $0.10 an hour, which is where the uptime SLA and multi-CPU sizing begin; Hobbyist sits between them at $12.
- Startup credit program: Aiven: Aiven for Startups: $12,000–$100,000 in Aiven credits over 12 months. Requires founded ≤7 years ago and external funding from pre-seed to Series B.
- Managed connection pooling: Aiven: Supported — not on the Free or Developer tiers
- Scales to zero: Amazon Aurora: Supported — serverless capacity mode only
- Connection limit: Aiven: Set per plan, not by a formula: 100 on the entry paid plan (Startup-4), rising to 200, 400, 800 and 1000 as the plan grows, with 25 on Hobbyist, 20 on Free and 15 on Developer. Aiven states plainly that it does not apply a per-GiB formula, and that some of the allowance is used by Aiven itself to manage the service.
- Rewind in place: Amazon Aurora: Limited — Aurora MySQL edition only
- ISO 27001: Amazon Aurora: Covered under AWS's account-wide ISO/IEC 27001:2022 certification — not scoped per-service the way SOC, HIPAA and PCI DSS are on AWS's own site.
- HIPAA: Amazon Aurora: Listed as a HIPAA-eligible service on AWS's own reference page.
- GDPR / data residency: Amazon Aurora: AWS customers can process personal data on all AWS services in compliance with GDPR, and choose the storage type and geographic region for their data.

## Questions this comparison answers

**Should I choose Aiven or Amazon Aurora?**

Pick Aiven if Teams who want more than one open-source data service from one vendor and one bill — Postgres beside Kafka, ClickHouse or OpenSearch — with the availability tier chosen per service rather than fixed.
Pick Amazon Aurora if Teams on AWS who want a Postgres or MySQL cluster that can throw off a copy-on-write clone of production in minutes, keep up to fifteen readers behind it, and pause to nothing between bursts in serverless mode.