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Database & Data Management · head to head

Amazon Aurora vs Google Workspace

Amazon Aurora logo

Amazon Aurora

Database & Data Management

MySQL and PostgreSQL-compatible relational database built for the cloud

From
Free
Rated
-
Google Workspace logo

Google Workspace

All industries

Everything you need to get work done, all in one place

From
€3.4/month
Rated
-

The short version

  • Only Amazon Aurora has a free tier, so it costs nothing to try first.
  • Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Google Workspace starter tier storage limited to 30 GB per user, requiring upgrade to Standard or higher for adequate document storage
  • They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Google Workspace covers Gmail business email.

Where they differ

Only the attributes on which Amazon Aurora and Google Workspace actually diverge.

Attributes where Amazon Aurora and Google Workspace differ
AttributeAmazon AuroraGoogle Workspace
Starting priceFree€3.4/month
Pricing modelusage-basedsubscription
Free tierYesNo
PlatformsAWS CloudWeb
CategoryDatabase & Data ManagementAll industries

Identical on both: user rating (Not yet rated), founded (2006).

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 Google Workspace

  • Gmail business email
  • Google Drive storage
  • Google Docs, Sheets, Slides
  • Google Calendar
  • Google Meet video conferencing
  • Google Chat
  • Google Forms
  • Google Sites

What people use each for

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

Amazon Aurora

  • Transaction processingnot Google Workspace
  • Data storagenot Google Workspace
  • Application backendnot Google Workspace
  • Reportingnot Google Workspace
  • Data analyticsnot Google Workspace

Google Workspace

  • Business email and calendar managementnot Amazon Aurora
  • Collaborative document editingnot Amazon Aurora
  • Video conferencing and meetingsnot Amazon Aurora
  • Secure document storage and sharingnot 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

Google Workspace

  • Starter tier storage limited to 30 GB per user, requiring upgrade to Standard or higher for adequate document storage
  • Starter and Standard tiers both capped at maximum 300 users per organisation
  • Video meetings limited to 100 participants on Starter tier, 150 on Standard tier
  • Recording capabilities only available on Standard tier and above
  • eDiscovery, Vault, and advanced security features only available on Plus and Enterprise tiers

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

Google Workspace

€3.4/month

No published plan breakdown. See the Google Workspace review.

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 Google Workspace if

  • You need gmail business email.
  • You also want google drive storage.

Questions people ask

Is Amazon Aurora or Google Workspace better?
Neither clearly leads. Amazon Aurora starts at Free and Google Workspace at €3.4/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Aurora or Google Workspace?
Amazon Aurora has a free tier; the other does not. Paid plans start at Free for Amazon Aurora and €3.4/month for Google Workspace.
Does Amazon Aurora or Google Workspace run on more platforms?
Amazon Aurora runs on AWS Cloud. Google Workspace runs on Web.
Can I use Amazon Aurora for free?
Yes. Amazon Aurora has a free tier, so you can try it without paying. Google Workspace starts at €3.4/month.
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 Google Workspace is typically brought in for.
What can Amazon Aurora do that Google Workspace cannot?
Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Google Workspace covers Gmail business email, Google Drive storage, Google Docs, Sheets, Slides, Google Calendar.

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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