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Software · head to head

Amazon Aurora vs Databox

Amazon Aurora logo

Amazon Aurora

Software

MySQL and PostgreSQL-compatible relational database built for the cloud

From
Free
Rated
-
Databox logo

Databox

Software

KPI dashboards for business performance

From
Free
Rated
-

The short version

  • Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Databox data sources are the billing unit, and the $159 Pro plan still includes only 3 before charging $5.60 for each additional one
  • They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Databox covers Pre-built Dashboards.

Where they differ

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

Attributes where Amazon Aurora and Databox differ
AttributeAmazon AuroraDatabox
Pricing modelusage-basedfreemium
PlatformsAWS CloudWeb, Mobile, Tv
Founded20062011

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 Databox

  • Pre-built Dashboards
  • Goal Tracking
  • Alerts
  • Scorecards
  • Mobile App
  • HubSpot
  • Google Analytics
  • Facebook

Both cover

  • Web support

What people use each for

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

Amazon Aurora

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

Databox

  • Building business dashboards from multiple SaaS data sourcesnot Amazon Aurora
  • Tracking KPIs and metrics across marketing, sales and finance toolsnot 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

Databox

  • Data sources are the billing unit, and the $159 Pro plan still includes only 3 before charging $5.60 for each additional one
  • The $64 Analyst plan is capped at 5 data sources and a single user
  • The free plan allows 3 data sources, 10 custom metrics and one user
  • AI credits are metered monthly, from 50 on free to 4,000 on Growth
  • Every published price assumes annual billing, with monthly costing 20% more

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

Databox

Free
  • FreeFree
    • 3 Data Sources
    • Basic Features
    • Community Support
  • Starter$72/month
    • 10 Data Sources
    • Alerts
    • Forecasting

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.

Choose Databox if

  • You need pre-built dashboards.
  • You want to start without paying.
  • You work on Web, Mobile, Tv.
  • You also want goal tracking.

Questions people ask

Is Amazon Aurora or Databox better?
Neither clearly leads. Amazon Aurora starts at Free and Databox at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Aurora or Databox?
Amazon Aurora starts at Free and Databox at Free.
Does Amazon Aurora or Databox run on more platforms?
Amazon Aurora runs on AWS Cloud. Databox runs on Web, Mobile, Tv.
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 Databox is typically brought in for.
What can Amazon Aurora do that Databox cannot?
Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Databox covers Pre-built Dashboards, Goal Tracking, Alerts, Scorecards. 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
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
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
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
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

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