Software · head to head
Amazon Aurora vs Qlik Sense

Amazon Aurora
Software
MySQL and PostgreSQL-compatible relational database built for the cloud
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amazon Aurora aurora requires AWS ecosystem knowledge and integration with other AWS services; Qlik Sense expensive pricing structure, particularly for enterprise users and large data volumes
- They diverge on capability: Amazon Aurora covers MySQL/PostgreSQL Compatible, Qlik Sense covers Associative Engine.
Where they differ
Only the attributes on which Amazon Aurora and Qlik Sense actually diverge.
| Attribute | Amazon Aurora | Qlik Sense |
|---|---|---|
| Pricing model | usage-based | Unknown |
| Platforms | AWS Cloud | Web (Cloud), Desktop (Windows), Mobile (iOS/Android) |
| Founded | 2006 | 1993 |
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 Qlik Sense
- Associative Engine
- AI Insights
- Augmented Analytics
- Natural Language
- Alerting
- SAP
- Salesforce
- ServiceNow
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Amazon Aurora
- Transaction processingnot Qlik Sense
- Data storagenot Qlik Sense
- Application backendnot Qlik Sense
- Reportingnot Qlik Sense
- Data analyticsnot Qlik Sense
Qlik Sense
- 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
Qlik Sense
- Expensive pricing structure, particularly for enterprise users and large data volumes
- Performance degradation when working with very large datasets
- Limited field capacity and strict 10 GB data limit on Starter plan ($300/month)
- Weak date handling in set analysis compared to other BI tools
- Poor API usability, particularly for Python scripts and integration workflows
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
Qlik Sense
Free- Qlik Sense Business (Desktop)Free
- Personal dashboards
- No content sharing
- Desktop only
- Starter$300/month
- 10 users
- 10 GB data for analysis
- Cloud-based
- Standard$825/month
- Unlimited users
- 25 GB data for analysis
- Advanced analytics
- Premium$2750/month
- Unlimited users
- 50 GB data for analysis
- Enhanced support
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 Qlik Sense if
- You need associative engine.
- You want to start without paying.
- You work on Web (Cloud), Desktop (Windows), Mobile (iOS/Android).
- You also want ai insights.
Questions people ask
- Is Amazon Aurora or Qlik Sense better?
- Neither clearly leads. Amazon Aurora starts at Free and Qlik Sense at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Aurora or Qlik Sense?
- Amazon Aurora starts at Free and Qlik Sense at Free.
- Does Amazon Aurora or Qlik Sense run on more platforms?
- Amazon Aurora runs on AWS Cloud. Qlik Sense runs on Web (Cloud), Desktop (Windows), Mobile (iOS/Android).
- 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 Qlik Sense is typically brought in for.
- What can Amazon Aurora do that Qlik Sense cannot?
- Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Qlik Sense covers Associative Engine, AI Insights, Augmented Analytics, Natural Language. 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.
SourceQlik Sense: Does Qlik Sense have a free tier?
Qlik Sense Business (Desktop) is permanently free for individual users for creating personal dashboards, though content cannot be shared. Qlik Cloud Analytics offers a 30-day free trial with full features.
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.
SourceQlik Sense: What is the entry price for Qlik Cloud Analytics?
Qlik Cloud Analytics Starter plan starts at $300 per month (annual billing) for 10 users and 10 GB of data. Standard is $825/month for 25 GB with unlimited users. Premium is $2,750/month for 50 GB.
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.
SourceQlik Sense: How many users can access Qlik Sense?
The Starter plan is limited to 10 users. Standard, Premium, and Enterprise plans include unlimited users and charge based on data capacity (gigabytes) rather than seat count.
SourceAmazon Aurora: Can Amazon Aurora scale automatically?
Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.
SourceQlik Sense: What is the Associative Engine in Qlik Sense?
The Associative Engine is Qlik's proprietary technology that automatically discovers and explores all possible relationships between data points, enabling intuitive analysis compared to traditional query-based BI tools.
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.
SourceQlik Sense: Does Qlik Sense support self-service analytics?
Yes, Qlik Sense is designed for self-service business intelligence, allowing business users to create dashboards and explore data without extensive technical knowledge, though complex implementations require expertise.
SourceQlik Sense: Is Qlik Sense available on-premises?
Yes, Qlik offers both cloud-based (Qlik Cloud Analytics) and on-premises deployment options, though on-premises licensing requires a separate quote.
SourceRelated pages
More on Amazon Aurora
Keep looking
Other head to heads
- Amazon Aurora vs Cockroach Labs
- Amazon Aurora vs PostgreSQL
- Amazon Aurora vs Airtable
- Amazon Aurora vs Elasticsearch
- Amazon Aurora vs PlanetScale
- Amazon Aurora vs Azure SQL
- Amazon Aurora vs ClickHouse
- Amazon Aurora vs Couchbase
- Amazon Aurora vs DuckDB
- Amazon Aurora vs DynamoDB
- Amazon Aurora vs MariaDB
- Amazon Aurora vs Oracle Database
- Amazon Aurora vs Amazon RDS
- Amazon Aurora vs Amazon Redshift
- Amazon Aurora vs Apache Druid
- Amazon Aurora vs Cassandra
- Amazon Aurora vs CouchDB
- Amazon Aurora vs Firebolt
- Amazon Aurora vs Amazon QuickSight
- Amazon Aurora vs Power BI
- Amazon Aurora vs Sisense
- Amazon Aurora vs MicroStrategy
- Amazon Aurora vs Domo
- Amazon Aurora vs GoodData
- Amazon Aurora vs ThoughtSpot
- Amazon Aurora vs Google Data Studio
- Amazon Aurora vs IBM Cognos Analytics
- Amazon Aurora vs Mode
- Amazon Aurora vs Periscope Data
- Amazon Aurora vs Baremetrics
- Amazon Aurora vs Celonis
- Amazon Aurora vs Chartio
- Amazon Aurora vs ChartMogul
- Amazon Aurora vs Cyfe
- Amazon Aurora vs Databox
- Amazon Aurora vs Dundas BI
- Qlik Sense vs Cockroach Labs
- Qlik Sense vs PostgreSQL
- Qlik Sense vs Airtable
- Qlik Sense vs Elasticsearch
- Qlik Sense vs PlanetScale
- Qlik Sense vs Azure SQL
- Qlik Sense vs ClickHouse
- Qlik Sense vs Couchbase
- Qlik Sense vs DuckDB
- Qlik Sense vs DynamoDB
- Qlik Sense vs MariaDB
- Qlik Sense vs Oracle Database
- Qlik Sense vs Amazon RDS
- Qlik Sense vs Amazon Redshift
- Qlik Sense vs Apache Druid
- Qlik Sense vs Cassandra
- Qlik Sense vs CouchDB
- Qlik Sense vs Firebolt
- Qlik Sense vs Amazon QuickSight
- Qlik Sense vs Power BI
- Qlik Sense vs Sisense
- Qlik Sense vs MicroStrategy
- Qlik Sense vs Domo
- Qlik Sense vs GoodData
- Qlik Sense vs ThoughtSpot
- Qlik Sense vs Google Data Studio
- Qlik Sense vs IBM Cognos Analytics
- Qlik Sense vs Mode
- Qlik Sense vs Periscope Data
- Qlik Sense vs Baremetrics
- Qlik Sense vs Celonis
- Qlik Sense vs Chartio
- Qlik Sense vs ChartMogul
- Qlik Sense vs Cyfe
- Qlik Sense vs Databox
- Qlik Sense vs Dundas BI

