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Amazon Aurora vs Lightdash

Amazon Aurora logo

Amazon Aurora

Software

MySQL and PostgreSQL-compatible relational database built for the cloud

From
Free
Rated
-
Full reviewWebsite
Lightdash logo

Lightdash

Software

Open-source BI for dbt users

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Lightdash requires existing dbt infrastructure, not suitable for teams without data models
  • They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Lightdash covers dbt Integration.

Where they differ

Only the attributes on which Amazon Aurora and Lightdash actually diverge.

Attributes where Amazon Aurora and Lightdash differ
AttributeAmazon AuroraLightdash
Pricing modelusage-basedUnknown
PlatformsAWS CloudWeb, Cloud (managed), Self-hosted (on-premise)
Founded20062021

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 Lightdash

  • dbt Integration
  • Metrics Layer
  • Dashboards
  • Scheduling
  • Version Control
  • dbt
  • BigQuery
  • Snowflake

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

Amazon Aurora

  • Transaction processingnot Lightdash
  • Data storagenot Lightdash
  • Application backendnot Lightdash
  • Reportingnot Lightdash
  • Data analyticsnot Lightdash

Lightdash

  • Self-service analyticsnot Amazon Aurora
  • Data explorationnot Amazon Aurora
  • Ad-hoc reportingnot Amazon Aurora
  • Collaborative analysisnot Amazon Aurora
  • Embedded analyticsnot 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

Lightdash

  • Requires existing dbt infrastructure, not suitable for teams without data models
  • Enterprise features and AI agents unavailable in open-source MIT-licensed core

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

Lightdash

Free
  • Open SourceFree
    • MIT-licensed core
    • Self-hostable
    • dbt integration
  • Cloud Managed$undefined/mo
    • Managed hosting
    • Premium features
    • AI agent capabilities

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.
Amazon Aurora review

Choose Lightdash if

  • You need dbt integration.
  • You want to start without paying.
  • You work on Web, Cloud (managed), Self-hosted (on-premise).
  • You also want metrics layer.
Lightdash review

Questions people ask

Is Amazon Aurora or Lightdash better?
Neither clearly leads. Amazon Aurora starts at Free and Lightdash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Aurora or Lightdash?
Amazon Aurora starts at Free and Lightdash at Free.
Does Amazon Aurora or Lightdash run on more platforms?
Amazon Aurora runs on AWS Cloud. Lightdash runs on Web, Cloud (managed), Self-hosted (on-premise).
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 Lightdash is typically brought in for.
What can Amazon Aurora do that Lightdash cannot?
Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Lightdash covers dbt Integration, Metrics Layer, Dashboards, Scheduling. 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.

Source
Lightdash: Is Lightdash free?

Yes. Lightdash is free and open source under the MIT license. Self-hosting is completely free. Managed cloud services and enterprise features require separate licensing.

Source
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.

Source
Lightdash: How does Lightdash integrate with dbt?

Lightdash reads dbt models and metric definitions directly. A team defines metrics once in dbt and reuses them across dashboards, exploration, and AI agents without redefinition.

Source
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.

Source
Lightdash: Does Lightdash support SQL queries?

Yes. As a modern BI platform for analysts, Lightdash supports full SQL capabilities alongside dbt model exploration and visual query builders.

Source
Amazon Aurora: Can Amazon Aurora scale automatically?

Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.

Source
Lightdash: What are Lightdash AI agents?

Lightdash AI agents, available on paid plans, allow natural language queries against your data, generating SQL and visualizations automatically from questions.

Source
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.

Source
Lightdash: Can Lightdash be self-hosted?

Yes. Lightdash's MIT-licensed core is completely self-hostable and free. Enterprise features and AI agents ship under separate licensing.

Source
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