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Software · head to head

Azure SQL vs Greenhouse

Azure SQL logo

Azure SQL

Software

Intelligent, scalable cloud database service from Microsoft

From
Free
Rated
-
Greenhouse logo

Greenhouse

Software

Hiring software for growing companies

From
On request
Rated
-

The short version

  • Only Azure SQL has a free tier, so it costs nothing to try first.
  • Each has a real cost: Azure SQL ecosystem lock-in limits flexibility compared to open-source or multi-cloud solutions; Greenhouse core plan lacks talent discovery and contact lookups
  • They diverge on capability: Azure SQL covers Intelligent Performance, Greenhouse covers Applicant tracking.

Where they differ

Only the attributes on which Azure SQL and Greenhouse actually diverge.

Attributes where Azure SQL and Greenhouse differ
AttributeAzure SQLGreenhouse
Starting priceFreeOn request
Pricing modelUnknownquote
Free tierYesNo
PlatformsCloud (Microsoft Azure)Web, Ios, Android, Api
Founded19752012

Identical on both: 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 Greenhouse

  • Applicant tracking
  • Interview scheduling
  • Scorecard system
  • Job board posting
  • Candidate CRM
  • Reporting & analytics
  • Offer management
  • EEO compliance

What people use each for

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

Azure SQL

  • Transaction processingnot Greenhouse
  • Data storagenot Greenhouse
  • Application backendnot Greenhouse
  • Reportingnot Greenhouse
  • Data analyticsnot Greenhouse

Greenhouse

  • Applicant tracking system for structured hiringnot Azure SQL
  • AI-powered interview notetaking and sourcingnot 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

Greenhouse

  • Core plan lacks talent discovery and contact lookups
  • Core plan lacks email automation and applicant texting
  • Plus plan lacks resume anonymisation and application limits
  • Plus plan lacks audit logging and developer tools
  • Pricing customised by hiring volume and company size, not published
  • Only Pro tier offers audit logs and developer sandbox

Pricing, plan by plan

Azure SQL

Free

No published plan breakdown. See the Azure SQL review.

Greenhouse

On request

No published plan breakdown. See the Greenhouse review.

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 Greenhouse if

  • You need applicant tracking.
  • You work on Web, Ios, Android, Api.
  • You also want interview scheduling.

Questions people ask

Is Azure SQL or Greenhouse better?
Neither clearly leads. Azure SQL starts at Free and Greenhouse at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Azure SQL or Greenhouse?
Azure SQL has a free tier; the other does not. Paid plans start at Free for Azure SQL and On request for Greenhouse.
Does Azure SQL or Greenhouse run on more platforms?
Azure SQL runs on Cloud (Microsoft Azure). Greenhouse runs on Web, Ios, Android, Api.
Can I use Azure SQL for free?
Yes. Azure SQL has a free tier, so you can try it without paying. Greenhouse starts at On request.
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 Greenhouse is typically brought in for.
What can Azure SQL do that Greenhouse cannot?
Azure SQL covers Intelligent Performance, Advanced Security, Hyperscale, Serverless Compute. Greenhouse covers Applicant tracking, Interview scheduling, Scorecard system, Job board posting.

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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