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Azure SQL vs Neo4j

Azure SQL logo

Azure SQL

Software

Intelligent, scalable cloud database service from Microsoft

From
Free
Rated
-
Full reviewWebsite
Neo4j logo

Neo4j

Software

The world's leading graph database

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; Neo4j auraDB Free has no service availability SLA, no backups and no point-in-time recovery
  • They diverge on capability: Azure SQL covers Intelligent Performance, Neo4j covers Native Graph Storage.

Where they differ

Only the attributes on which Azure SQL and Neo4j actually diverge.

Attributes where Azure SQL and Neo4j differ
AttributeAzure SQLNeo4j
Pricing modelUnknownfreemium
PlatformsCloud (Microsoft Azure)Linux, Windows, Mac, Docker, Web
Founded19752007

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 Neo4j

  • Native Graph Storage
  • Cypher Query Language
  • ACID Transactions
  • High Availability
  • Graph Data Science
  • Full-text Search
  • Native Indexes
  • GraphQL

Both cover

  • Web support

What people use each for

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

Azure SQL

  • Transaction processingnot Neo4j
  • Data storagenot Neo4j
  • Application backendnot Neo4j
  • Reportingnot Neo4j
  • Data analyticsnot Neo4j

Neo4j

  • Running a managed graph database on AWS, Azure or Google Cloudnot Azure SQL
  • Building knowledge graphs and GraphRAG retrieval for AI applicationsnot Azure SQL
  • Fraud detection, recommendations and supply chain analysis over connected datanot 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

Neo4j

  • AuraDB Free has no service availability SLA, no backups and no point-in-time recovery
  • AuraDB Free imposes limits on node and relationship counts and runs single-zone only
  • SSO authentication and role-based access control are excluded from AuraDB Free and AuraDB Professional, starting only at Business Critical at $146 per GB per month with a 2GB minimum cluster
  • AuraDB Professional starts at $65 per GB per month with a minimum 1GB cluster and caps at 128GB memory per instance
  • AuraDB Professional backups are daily with only 7-day retention, against 30 days on Business Critical
  • Customer managed keys and private endpoints are available only on AuraDB Virtual Dedicated Cloud, which is quote only with no published price
  • Change data capture, query log forwarding, secondaries and access to Neo4j Professional Services are excluded below the Business Critical tier
  • Support on AuraDB Free is community only and AuraDB Professional is best effort, with 24x7 one-hour response starting at Business Critical
  • AuraDB Virtual Dedicated Cloud is sold on prepaid contract terms with enterprise commercial negotiation rather than self-serve card payment

Pricing, plan by plan

Azure SQL

Free

No published plan breakdown. See the Azure SQL review.

Neo4j

Free
  • CommunityFree
    • Single database
    • Cypher queries
    • APOC library
  • AuraDB FreeFree
    • 50K nodes
    • 175K relationships
    • Cloud hosted
  • AuraDB Professional$65/month
    • Dedicated instance
    • Auto-scaling
    • Enterprise 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.
Azure SQL review

Choose Neo4j if

  • You need native graph storage.
  • You want to start without paying.
  • You work on Linux, Windows, Mac, Docker, Web.
  • You also want cypher query language.
Neo4j review

Questions people ask

Is Azure SQL or Neo4j better?
Neither clearly leads. Azure SQL starts at Free and Neo4j at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Azure SQL or Neo4j?
Azure SQL starts at Free and Neo4j at Free.
Does Azure SQL or Neo4j run on more platforms?
Azure SQL runs on Cloud (Microsoft Azure). Neo4j runs on Linux, Windows, Mac, Docker, 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 Neo4j is typically brought in for.
What can Azure SQL do that Neo4j cannot?
Azure SQL covers Intelligent Performance, Advanced Security, Hyperscale, Serverless Compute. Neo4j covers Native Graph Storage, Cypher Query Language, ACID Transactions, High Availability. 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.

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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