Database & Data Management · head to head
Azure SQL vs Amazon Redshift
Azure SQL
Database & Data Management
Intelligent, scalable cloud database service from Microsoft
- From
- Free
- Rated
- -
Amazon Redshift
Database & Data Management
Fast, scalable cloud data warehouse from AWS
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Azure SQL ecosystem lock-in limits flexibility compared to open-source or multi-cloud solutions; Amazon Redshift on-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery
- They diverge on capability: Azure SQL covers Intelligent Performance, Amazon Redshift covers Columnar Storage.
Where they differ
Only the attributes on which Azure SQL and Amazon Redshift actually diverge.
| Attribute | Azure SQL | Amazon Redshift |
|---|---|---|
| Pricing model | Unknown | usage-based |
| Platforms | Cloud (Microsoft Azure) | Web |
| Founded | 1975 | 2012 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Database & Data Management).
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 Azure SQL
- Intelligent Performance
- Advanced Security
- Hyperscale
- Serverless Compute
- Geo-replication
- Automatic Tuning
- Built-in AI
- Power BI
Only in Amazon Redshift
- Columnar Storage
- Massively Parallel
- Machine Learning
- AQUA Acceleration
- Data Sharing
- Federated Query
- Concurrency Scaling
- S3
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Azure SQL
- Transaction processingnot Amazon Redshift
- Data storagenot Amazon Redshift
- Application backendnot Amazon Redshift
- Reporting
- Data analyticsnot Amazon Redshift
Amazon Redshift
- Business intelligencenot Azure SQL
- Data warehousingnot Azure SQL
- Real-time analyticsnot Azure SQL
- Reporting
- Machine learningnot Azure SQL
Both are used for reporting, on those jobs the choice comes down to price and fit rather than capability.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Azure SQL
- Ecosystem lock-in limits flexibility compared to open-source or multi-cloud solutions
- Managed service reduces control over database configuration and optimization tuning
- Pricing complexity with consumption-based model can be unpredictable at scale
- Less operational depth compared to Amazon RDS for advanced scaling scenarios
- Azure PostgreSQL is less compelling than dedicated PostgreSQL providers outside Azure ecosystem
Amazon Redshift
- On-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery
- Requires significant manual tuning including managing concurrency scaling costs and configuring Workload Management queues
- Performance degrades without proper design of distribution keys and sort keys
- Limited elastic resize options - can only halve or double current cluster size
- AWS lock-in makes it unsuitable for multi-cloud architectures
Pricing, plan by plan
Azure SQL
FreeNo published plan breakdown. See the Azure SQL review.
Amazon Redshift
Free- Free TrialFree
- 750 DC2.Large hours
- 2 months free
- Full features
- On-Demand$0.25/hour
- Pay per node hour
- All features
- Standard support
Which should you pick?
Choose Azure SQL if
- You need intelligent performance.
- You want to start without paying.
- You work on Cloud (Microsoft Azure).
- You also want advanced security.
Choose Amazon Redshift if
- You need columnar storage.
- You want to start without paying.
- You also want massively parallel.
Questions people ask
- Is Azure SQL or Amazon Redshift better?
- Neither clearly leads. Azure SQL starts at Free and Amazon Redshift at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Azure SQL or Amazon Redshift?
- Azure SQL starts at Free and Amazon Redshift at Free.
- Does Azure SQL or Amazon Redshift run on more platforms?
- Azure SQL runs on Cloud (Microsoft Azure). Amazon Redshift runs on Web.
- Can I use Azure SQL for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Azure SQL best used for?
- Azure SQL is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what Amazon Redshift is typically brought in for.
- What can Azure SQL do that Amazon Redshift cannot?
- Azure SQL covers Intelligent Performance, Advanced Security, Hyperscale, Serverless Compute. Amazon Redshift covers Columnar Storage, Massively Parallel, Machine Learning, AQUA Acceleration. Both handle Web support.
Answered from the vendors’ own pages
Azure SQL: Does Azure SQL Database offer a free tier?
Yes, Azure SQL Database includes a permanent free tier that provides 100,000 vCore seconds, 32 GB of data storage, and 32 GB of backup storage per month. This free tier is available for the lifetime of any Azure subscription with no expiration.
SourceAmazon Redshift: What deployment options does Amazon Redshift offer?
Redshift offers Provisioned Cluster (with RA3 or DC2 nodes) and Serverless options to match varying workloads. The new Redshift RG instance family, powered by Graviton, delivers 2.4x faster performance than RA3 at 30% lower cost per vCPU.
SourceAzure SQL: What pricing models does Azure SQL Database support?
Azure SQL Database offers consumption-based pricing where you pay for resources used, with no long-term commitments required. Database Savings Plans launched in March 2026 allow committing to a fixed hourly amount and save up to 35% across Azure database services.
SourceAmazon Redshift: What does Amazon Redshift cost?
Provisioned cluster pricing: RA3 on-demand starts at $1.086/hour for ra3.xlplus. Serverless costs approximately $0.375 per RPU-hour with 4-RPU minimum (roughly $1.50/hour active workload). Managed storage costs $0.024/GB-month.
SourceAzure SQL: Is Azure SQL Database compatible with on-premises SQL Server?
Yes, Azure SQL Database shares the same Database Engine as on-premises SQL Server. Existing databases maintain their compatibility level and continue to work after upgrades. Azure SQL Managed Instance provides even broader SQL Server compatibility dating back to SQL Server 2008.
SourceAmazon Redshift: Does Redshift work with data lakes?
Yes, Redshift's integrated data lake query engine processes workloads on Apache Iceberg tables and other supported formats in Amazon S3, allowing you to run SQL analytics across your data warehouse and data lake from the same engine.
SourceAzure SQL: What high availability features does Azure SQL Database provide?
Azure SQL Database provides automatic backups, geo-replication for disaster recovery, failover groups for automatic failover, and zone redundancy for enhanced availability. The service maintains a 99.99% availability SLA for Business Critical tier.
SourceAmazon Redshift: Is there a free tier for Amazon Redshift?
AWS offers a free trial with $300 USD in Serverless credits valid for 90 days, but Redshift is not part of the permanent AWS Free Tier.
SourceAzure SQL: Can I use AI features with Azure SQL Database?
Yes, Azure SQL Database includes Copilot for database tasks, Intelligent Applications support, REST API endpoints for building applications, and GraphQL endpoints for modern app development.
Source