Databases · head to head
Dragonfly vs Microsoft SQL Server

Dragonfly
Databases
High-performance Redis-compatible in-memory datastore with 25x better throughput
- From
- Free
- Rated
- -

Microsoft SQL Server
Databases
Enterprise-grade relational database management system
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Dragonfly flex tier starting at $36/month may be underpriced, requiring careful usage monitoring; 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: Dragonfly covers Redis API compatibility, Microsoft SQL Server covers T-SQL.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Dragonfly and Microsoft SQL Server actually diverge.
| Attribute | Dragonfly | Microsoft SQL Server |
|---|---|---|
| Pricing model | Usage-based cloud pricing with flexible tiers | Unknown |
| Platforms | Cloud, AWS, GCP, Azure | Windows Server, Linux (RHEL, SUSE, Ubuntu), Docker, Azure |
| Founded | Unknown | 1989 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
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 Dragonfly
- Redis API compatibility
- Thread-per-core architecture
- High-performance caching
- Memory efficiency
- Real-time leaderboards
- Message queue support
- ML feature serving
- Cloud deployment
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.
Dragonfly
- High-throughput caching for web applicationsnot Microsoft SQL Server
- Real-time leaderboards and rankingsnot Microsoft SQL Server
- Message queue and event processingnot Microsoft SQL Server
- ML model feature serving at millisecond latenciesnot Microsoft SQL Server
- Gaming session state and player data storagenot Microsoft SQL Server
Microsoft SQL Server
- Transaction processingnot Dragonfly
- Data storagenot Dragonfly
- Application backendnot Dragonfly
- Reportingnot Dragonfly
- Data analyticsnot Dragonfly
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Dragonfly
- Flex tier starting at $36/month may be underpriced, requiring careful usage monitoring
- Business tier $2,000/month represents significant jump in cost
- Limited to in-memory storage, not suitable for cold data or archival
- Bring-your-own-cloud requirement on Business tier adds operational complexity
- Cloud availability dependent on AWS/GCP/Azure uptime
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
Dragonfly
Free- Free TierFree
- 100 cloud credits for new signups
- Equivalent to free trial
- Business$2000/month
- Starting price for enterprise offering
- Bring-your-own-cloud deployment
- Auto-scaling with custom SLAs
- Enterprise$undefined/custom
- Custom pricing
- Any-cloud deployment
- Custom instances and sizing
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 Dragonfly if
- You need redis api compatibility.
- You want to start without paying.
- You work on Cloud, AWS, GCP, Azure.
- You also want thread-per-core architecture.
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 Dragonfly or Microsoft SQL Server better?
- Neither clearly leads. Dragonfly 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, Dragonfly or Microsoft SQL Server?
- Dragonfly starts at Free and Microsoft SQL Server at Free.
- Does Dragonfly or Microsoft SQL Server run on more platforms?
- Dragonfly runs on Cloud, AWS, GCP, Azure. Microsoft SQL Server runs on Windows Server, Linux (RHEL, SUSE, Ubuntu), Docker, Azure.
- Can I use Dragonfly for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Dragonfly best used for?
- Dragonfly is most often used for high-throughput caching for web applications, real-time leaderboards and rankings, message queue and event processing, ml model feature serving at millisecond latencies. Of those, high-throughput caching for web applications and real-time leaderboards and rankings are not what Microsoft SQL Server is typically brought in for.
- What can Dragonfly do that Microsoft SQL Server cannot?
- Dragonfly covers Redis API compatibility, Thread-per-core architecture, High-performance caching, Memory efficiency. Microsoft SQL Server covers T-SQL, ACID Compliance, Advanced Security, In-memory OLTP.
Answered from the vendors’ own pages
Dragonfly: How much faster is Dragonfly than Redis?
Dragonfly achieves 3.97M queries per second compared to Redis's 718K QPS, representing a 25x improvement. Memory efficiency is also 30% better.
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.
SourceDragonfly: Can I migrate from Redis to Dragonfly without code changes?
Yes. Dragonfly maintains full API compatibility with Redis and Memcached, allowing drop-in replacement with minimal to no code modifications.
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.
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.
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 Microsoft SQL Server
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