Database & Data Management · head to head
Amazon Redshift vs Microsoft SQL Server

Amazon Redshift
Database & Data Management
Fast, scalable cloud data warehouse from AWS
- From
- Free
- Rated
- -
Microsoft SQL Server
Database & Data Management
Enterprise-grade relational database management system
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amazon Redshift on-demand pricing runs up to 75% higher than competitors like Snowflake and BigQuery; Microsoft SQL Server licensing and on-premises deployment costs are high compared to open-source alternatives, with Enterprise Edition exceeding $60,000 for minimum core requirements
- They diverge on capability: Amazon Redshift covers Columnar Storage, Microsoft SQL Server covers T-SQL.
Where they differ
Only the attributes on which Amazon Redshift and Microsoft SQL Server actually diverge.
| Attribute | Amazon Redshift | Microsoft SQL Server |
|---|---|---|
| Pricing model | usage-based | Unknown |
| Platforms | Web | Windows Server, Linux (RHEL, SUSE, Ubuntu), Docker, Azure |
| Founded | 2012 | 1989 |
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 Amazon Redshift
- Columnar Storage
- Massively Parallel
- Machine Learning
- AQUA Acceleration
- Data Sharing
- Federated Query
- Concurrency Scaling
- S3
Only in Microsoft SQL Server
- T-SQL
- ACID Compliance
- Advanced Security
- In-memory OLTP
- Columnstore Indexes
- Always On Availability
- Machine Learning Services
- Azure
What people use each for
The jobs each tool is most often brought in to do.
Amazon Redshift
- Business intelligencenot Microsoft SQL Server
- Data warehousingnot Microsoft SQL Server
- Real-time analyticsnot Microsoft SQL Server
- Reporting
- Machine learningnot Microsoft SQL Server
Microsoft SQL Server
- Transaction processingnot Amazon Redshift
- Data storagenot Amazon Redshift
- Application backendnot Amazon Redshift
- Reporting
- Data analyticsnot Amazon Redshift
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.
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
Microsoft SQL Server
- Licensing and on-premises deployment costs are high compared to open-source alternatives, with Enterprise Edition exceeding $60,000 for minimum core requirements
- Performance monitoring toolset is insufficient for hybrid cloud environments requiring real-time analytics across multiple deployment types
- Heavy I/O resource consumption can saturate disk volumes and degrade performance when processing large transaction workloads
- Always On availability groups with up to 8 secondary replicas are limited to Enterprise edition only; Standard supports only basic availability groups with 2 replicas
- CPU and memory scaling is capped at 4 sockets or 32 cores on Standard edition, limiting deployments requiring higher compute capacity
Pricing, plan by plan
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
Microsoft SQL Server
Free- ExpressFree
- 4 cores maximum
- 1.4 GB memory per instance
- 50 GB database size limit
- DeveloperFree
- All Enterprise features
- Non-production use only
- Standard$3945/per 2-core pack
- 32 core maximum per instance
- 256 GB buffer pool memory
- Basic availability groups with 2 replicas
- Enterprise$15123/per 2-core pack
- Unlimited scaling
- Always On with up to 8 secondaries
- Advanced security and HA features
Which should you pick?
Choose Amazon Redshift if
- You need columnar storage.
- You want to start without paying.
- You also want massively parallel.
Choose Microsoft SQL Server if
- You need t-sql.
- You want to start without paying.
- You work on Windows Server, Linux (RHEL, SUSE, Ubuntu), Docker, Azure.
- You also want acid compliance.
Questions people ask
- Is Amazon Redshift or Microsoft SQL Server better?
- Neither clearly leads. Amazon Redshift starts at Free and Microsoft SQL Server at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amazon Redshift or Microsoft SQL Server?
- Amazon Redshift starts at Free and Microsoft SQL Server at Free.
- Does Amazon Redshift or Microsoft SQL Server run on more platforms?
- Amazon Redshift runs on Web. Microsoft SQL Server runs on Windows Server, Linux (RHEL, SUSE, Ubuntu), Docker, Azure.
- Can I use Amazon Redshift for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Amazon Redshift best used for?
- Amazon Redshift is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what Microsoft SQL Server is typically brought in for.
- What can Amazon Redshift do that Microsoft SQL Server cannot?
- Amazon Redshift covers Columnar Storage, Massively Parallel, Machine Learning, AQUA Acceleration. Microsoft SQL Server covers T-SQL, ACID Compliance, Advanced Security, In-memory OLTP.
Answered from the vendors’ own pages
Amazon 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.
SourceMicrosoft SQL Server: What is the pricing model for SQL Server?
SQL Server uses core-based licensing with per-2-core pack pricing. Enterprise Edition costs approximately $15,123 per 2-core pack (minimum 8 cores). Standard Edition costs approximately $3,945 per 2-core pack. Developer and Express editions are free. Software Assurance adds 25-35% annually for upgrades and support.
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.
SourceMicrosoft SQL Server: Does SQL Server run on Linux?
Yes. SQL Server 2017 and later run on Linux (Red Hat Enterprise Linux, SUSE Linux Enterprise Server, Ubuntu), Docker containers, and Windows with feature parity including Always On availability groups, Active Directory authentication, and encryption.
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.
SourceMicrosoft SQL Server: Is there a free edition of SQL Server?
Yes. SQL Server Express is free and includes all functionality of Enterprise edition for development and testing, with limits of 4 cores, 1,410 MB memory per instance, and 50 GB per database. Developer edition is also free for non-production use.
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.
SourceMicrosoft SQL Server: Can SQL Server be deployed offline?
Yes. SQL Server can be installed from offline media on machines without internet access. Microsoft provides complete offline installation packages for SQL Server, SSMS, and supporting components, making deployment in isolated or air-gapped environments feasible.
SourceMicrosoft SQL Server: What high availability options does SQL Server provide?
SQL Server offers Always On availability groups (Enterprise only), Always On failover cluster instances, database mirroring, log shipping, and for disaster recovery, failover servers in Azure and Accelerated Database Recovery for faster recovery after failures.
SourceRelated pages
More on Amazon Redshift
More on Microsoft SQL Server
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