Database & Data Management · head to head
Amazon Aurora vs Hive

Amazon Aurora
Database & Data Management
MySQL and PostgreSQL-compatible relational database built for the cloud
- From
- Free
- 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.
| Attribute | Amazon Aurora | Hive |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | freemium |
| Free tier | Yes | No |
| Platforms | AWS Cloud | Web, Ios, Android, Desktop |
| Category | Database & Data Management | Project Management |
| Founded | 2006 | 2015 |
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.
SourceAmazon 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.
SourceAmazon 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.
SourceAmazon Aurora: Can Amazon Aurora scale automatically?
Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.
SourceAmazon Aurora: How many read replicas does Aurora support?
Aurora supports up to 15 low-latency read replicas for distributing read traffic across your application.
SourceRelated pages
More on Amazon Aurora
Other head to heads
- Amazon Aurora vs Cockroach Labs
- Amazon Aurora vs PostgreSQL
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- Amazon Aurora vs Toggl Plan
- Amazon Aurora vs GanttPRO
- Amazon Aurora vs MeisterTask
- Amazon Aurora vs Sunsama
- Amazon Aurora vs Craft Docs
- Amazon Aurora vs Freedcamp
- Amazon Aurora vs Kanbanize
- Amazon Aurora vs LiquidPlanner
- Amazon Aurora vs Nifty
- Amazon Aurora vs Paymo
- Amazon Aurora vs Pipefy
- Amazon Aurora vs Podio
- Amazon Aurora vs ProofHub
- Hive vs Cockroach Labs
- Hive vs PostgreSQL
- Hive vs Airtable
- Hive vs Elasticsearch
- Hive vs PlanetScale
- Hive vs Azure SQL
- Hive vs ClickHouse
- Hive vs Couchbase
- Hive vs DuckDB
- Hive vs DynamoDB
- Hive vs MariaDB
- Hive vs Oracle Database
- Hive vs Amazon RDS
- Hive vs Amazon Redshift
- Hive vs Apache Druid
- Hive vs Cassandra
- Hive vs CouchDB
- Hive vs Firebolt
- Hive vs Basecamp
- Hive vs Clockwise
- Hive vs Reclaim.ai
- Hive vs Trello
- Hive vs Roadmunk
- Hive vs Toggl Plan
- Hive vs GanttPRO
- Hive vs MeisterTask
- Hive vs Sunsama
- Hive vs Craft Docs
- Hive vs Freedcamp
- Hive vs Kanbanize
- Hive vs LiquidPlanner
- Hive vs Nifty
- Hive vs Paymo
- Hive vs Pipefy
- Hive vs Podio
- Hive vs ProofHub

