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Database & Data Management · head to head

Amazon Aurora vs Hive

Amazon Aurora logo

Amazon Aurora

Database & Data Management

MySQL and PostgreSQL-compatible relational database built for the cloud

From
Free
Rated
-
Hive logo

Hive

Project Management

Project management built for speed

From
On request
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; Hive the free plan is capped at 200 MB of storage
  • They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Hive covers Tasks.

Where they differ

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

Attributes where Amazon Aurora and Hive differ
AttributeAmazon AuroraHive
Starting priceFreeOn request
Pricing modelusage-basedfreemium
Free tierYesNo
PlatformsAWS CloudWeb, Ios, Android, Desktop
CategoryDatabase & Data ManagementProject Management
Founded20062015

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

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 Hive

  • Tasks
  • Gantt view
  • Kanban
  • Time tracking
  • Forms
  • Slack
  • Zoom
  • Google Drive

Both cover

  • Web support

What people use each for

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

Amazon Aurora

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

Hive

  • Project and task management with multiple project viewsnot Amazon Aurora
  • Coordinating work, proofing and resourcing for teamsnot 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

Hive

  • The free plan is capped at 200 MB of storage
  • The Starter plan at $5 per user per month is limited to 10 projects
  • Eight capabilities are sold as $5 per user add ons on the Teams plan, including CRM, timesheets, proofing, resourcing, advanced dashboards, external users and SSO
  • Buying SSO plus a few of those add ons therefore costs more than the $12 base seat itself
  • AI credits are metered monthly at 1,000, 3,000 and 5,000 by plan

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

Hive

On request
  • FreeFree
    • Basic features
    • 10 users
  • Teams$12/month
    • Unlimited users
    • Time tracking
    • Automations

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 Hive if

  • You need tasks.
  • You work on Web, Ios, Android, Desktop.
  • You also want gantt view.

Questions people ask

Is Amazon Aurora or Hive better?
Neither clearly leads. Amazon Aurora starts at Free and Hive at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Aurora or Hive?
Amazon Aurora has a free tier; the other does not. Paid plans start at Free for Amazon Aurora and On request for Hive.
Does Amazon Aurora or Hive run on more platforms?
Amazon Aurora runs on AWS Cloud. Hive runs on Web, Ios, Android, Desktop.
Can I use Amazon Aurora for free?
Yes. Amazon Aurora has a free tier, so you can try it without paying. Hive starts at On request.
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 Hive is typically brought in for.
What can Amazon Aurora do that Hive cannot?
Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Hive covers Tasks, Gantt view, Kanban, Time tracking. 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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