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Azure SQL vs Together AI

Azure SQL logo

Azure SQL

Software

Intelligent, scalable cloud database service from Microsoft

From
Free
Rated
-
Full reviewWebsite
Together AI logo

Together AI

Software

Open-source AI at scale

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Azure SQL ecosystem lock-in limits flexibility compared to open-source or multi-cloud solutions; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
  • They diverge on capability: Azure SQL covers Intelligent Performance, Together AI covers Open-source models.

Where they differ

Only the attributes on which Azure SQL and Together AI actually diverge.

Attributes where Azure SQL and Together AI differ
AttributeAzure SQLTogether AI
Pricing modelUnknownusage-based
PlatformsCloud (Microsoft Azure)Api, Cloud
Founded19752022

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 Azure SQL

  • Intelligent Performance
  • Advanced Security
  • Hyperscale
  • Serverless Compute
  • Geo-replication
  • Automatic Tuning
  • Built-in AI
  • Power BI

Only in Together AI

  • Open-source models
  • Fine-tuning
  • Fast inference
  • Embeddings
  • REST API
  • Python SDK
  • OpenAI compatible
  • Api support

What people use each for

The jobs each tool is most often brought in to do.

Azure SQL

  • Transaction processingnot Together AI
  • Data storagenot Together AI
  • Application backendnot Together AI
  • Reportingnot Together AI
  • Data analyticsnot Together AI

Together AI

  • Serverless inference against open source chat, vision, embedding, image and video modelsnot Azure SQL
  • Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot Azure SQL
  • Fine tuning open weight models on a per token basisnot Azure SQL

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

Together AI

  • Fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
  • Reserved GPU commitments beyond 180 days are priced by contacting sales with no published rate
  • Volume and enterprise discounts are quote only with no published threshold
  • Reserved dedicated inference pricing is contact sales while only on demand rates of $5.49 to $8.99 per GPU hour are published

Pricing, plan by plan

Azure SQL

Free

No published plan breakdown. See the Azure SQL review.

Together AI

Free
  • FreeFree
    • $5 credits
    • API access
  • Pay-per-use$0.2/per-million-tokens
    • All models
    • Fine-tuning

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.
Azure SQL review

Choose Together AI if

  • You need open-source models.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want fine-tuning.
Together AI review

Questions people ask

Is Azure SQL or Together AI better?
Neither clearly leads. Azure SQL starts at Free and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Azure SQL or Together AI?
Azure SQL starts at Free and Together AI at Free.
Does Azure SQL or Together AI run on more platforms?
Azure SQL runs on Cloud (Microsoft Azure). Together AI runs on Api, Cloud.
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 Together AI is typically brought in for.
What can Azure SQL do that Together AI cannot?
Azure SQL covers Intelligent Performance, Advanced Security, Hyperscale, Serverless Compute. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

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.

Source
Azure 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.

Source
Azure 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.

Source
Azure 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.

Source
Azure 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
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Related pages

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