Software · head to head
Neo4j vs Cloudinary
The short version
- Each has a real cost: Neo4j auraDB Free has no service availability SLA, no backups and no point-in-time recovery; Cloudinary paid plans jump from a free tier straight to $224 per month, with usage priced on transformations, storage, and bandwidth credits that consume quickly at scale
Where they differ
Only the attributes on which Neo4j and Cloudinary actually diverge.
| Attribute | Neo4j | Cloudinary |
|---|---|---|
| Platforms | Linux, Windows, Mac, Docker, Web | Web |
| Founded | 2007 | Unknown |
Identical on both: starting price (Free), pricing model (freemium), 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 Neo4j
- Native Graph Storage
- Cypher Query Language
- ACID Transactions
- High Availability
- Graph Data Science
- Full-text Search
- Native Indexes
- GraphQL
Only in Cloudinary
Nothing recorded that Neo4j does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
Neo4j
- Running a managed graph database on AWS, Azure or Google Cloudnot Cloudinary
- Building knowledge graphs and GraphRAG retrieval for AI applicationsnot Cloudinary
- Fraud detection, recommendations and supply chain analysis over connected datanot Cloudinary
Cloudinary
No use cases recorded yet. See the Cloudinary review.
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Cloudinary
- Paid plans jump from a free tier straight to $224 per month, with usage priced on transformations, storage, and bandwidth credits that consume quickly at scale
Pricing, plan by plan
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
Cloudinary
FreeNo published plan breakdown. See the Cloudinary review.
Which should you pick?
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.
Questions people ask
- Is Neo4j or Cloudinary better?
- Neither clearly leads. Neo4j starts at Free and Cloudinary at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Neo4j or Cloudinary?
- Neo4j starts at Free and Cloudinary at Free.
- Does Neo4j or Cloudinary run on more platforms?
- Neo4j runs on Linux, Windows, Mac, Docker, Web. Cloudinary runs on Web.
- Can I use Neo4j for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Neo4j best used for?
- Neo4j is most often used for running a managed graph database on aws, azure or google cloud, building knowledge graphs and graphrag retrieval for ai applications, fraud detection, recommendations and supply chain analysis over connected data. Of those, running a managed graph database on aws, azure or google cloud and building knowledge graphs and graphrag retrieval for ai applications are not what Cloudinary is typically brought in for.
- What can Neo4j do that Cloudinary cannot?
- Neo4j covers Native Graph Storage, Cypher Query Language, ACID Transactions, High Availability.
Related pages
Keep looking
Other head to heads
- Neo4j vs Cockroach Labs
- Neo4j vs PostgreSQL
- Neo4j vs Airtable
- Neo4j vs Amazon Aurora
- Neo4j vs Elasticsearch
- Neo4j vs PlanetScale
- Neo4j vs Azure SQL
- Neo4j vs ClickHouse
- Neo4j vs Couchbase
- Neo4j vs DuckDB
- Neo4j vs DynamoDB
- Neo4j vs MariaDB
- Neo4j vs Oracle Database
- Neo4j vs Amazon RDS
- Neo4j vs Amazon Redshift
- Neo4j vs Apache Druid
- Neo4j vs Cassandra
- Neo4j vs CouchDB
- Cloudinary vs Cockroach Labs
- Cloudinary vs PostgreSQL
- Cloudinary vs Airtable
- Cloudinary vs Amazon Aurora
- Cloudinary vs Elasticsearch
- Cloudinary vs PlanetScale
- Cloudinary vs Azure SQL
- Cloudinary vs ClickHouse
- Cloudinary vs Couchbase
- Cloudinary vs DuckDB
- Cloudinary vs DynamoDB
- Cloudinary vs MariaDB
- Cloudinary vs Oracle Database
- Cloudinary vs Amazon RDS
- Cloudinary vs Amazon Redshift
- Cloudinary vs Apache Druid
- Cloudinary vs Cassandra
- Cloudinary vs CouchDB

