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Databases · head to head

Cloudinary vs Dgraph

Cloudinary logo

Cloudinary

Databases

Image and video API for developers

From
Free
Rated
-
Dgraph logo

Dgraph

Databases

Apache 2.0 distributed graph database written in Go, maintained by Hypermode, queried through GraphQL or its own DQL language.

From
Free
Rated
-

The short version

  • Each has a real cost: Cloudinary free plan includes only 25 monthly credits and is limited to 3 users and 1 account; Dgraph sharding is by predicate, so a single very hot predicate lives entirely in one Raft group and cannot be split further; adding nodes does not relieve it and the fix is a data model change.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Cloudinary and Dgraph actually diverge.

Attributes where Cloudinary and Dgraph differ
AttributeCloudinaryDgraph
PlatformsWebLinux, Mac, Docker, Web
FoundedUnknown2016

Identical on both: starting price (Free), pricing model (freemium), 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 Cloudinary

Nothing recorded that Dgraph does not also cover.

Only in Dgraph

  • Apache 2.0 licence
  • Generated GraphQL API
  • DQL query language
  • Predicate sharding
  • Raft replication
  • Distributed ACID transactions
  • Written in Go
  • Full-text and geo indexing

What people use each for

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

Cloudinary

  • Automating image transformations and delivery across multiple devicesnot Dgraph
  • Generating AI-powered image captions and alternative text at scalenot Dgraph
  • Transcoding and optimizing video with automatic subtitle generationnot Dgraph
  • Building workflow automation for content teams without codingnot Dgraph

Dgraph

  • An application whose core data is a graph, such as permissions, social connections or product relationships, where the frontend already consumes GraphQLnot Cloudinary
  • A knowledge graph that outgrew a single machine and needs storage distributed across nodes without a per-core licence negotiationnot Cloudinary
  • Recommendation or fraud-detection features that traverse several hops at request time, where a relational join chain has become the bottlenecknot Cloudinary
  • Teams that want a graph database they can read, fork and self-host under a permissive licence rather than a source-available onenot Cloudinary

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Cloudinary

  • Free plan includes only 25 monthly credits and is limited to 3 users and 1 account
  • Enterprise plan pricing is custom; rates not published
  • Monthly billing is more expensive than annual; yearly plan is $89/month for Plus ($224/month for Advanced)

Dgraph

  • Sharding is by predicate, so a single very hot predicate lives entirely in one Raft group and cannot be split further; adding nodes does not relieve it and the fix is a data model change.
  • Stewardship passed from Dgraph Labs to Hypermode after the original company stopped operating independently, so anyone building on it is betting on a second custodian rather than on the original team's roadmap.
  • The GraphQL layer is generated and opinionated, so anything it does not express drops you into DQL, which is a second language your team must learn and which no other database speaks.
  • The community is a fraction of Neo4j's, so operational answers, tuning experience, hiring and third-party tooling are all thinner, and unusual failure modes in a Zero and Alpha cluster leave you reading source rather than a forum.
  • There is no portable graph standard to migrate to; Cypher, Gremlin and SPARQL are all different query models, so the schema and every query is a rewrite if you later leave, and that cost grows with the application.

Pricing, plan by plan

Cloudinary

Free
  • FreeFree
    • Upload widget
    • API
    • Search
  • Plus$99/month
    • All Free features
    • S3 bucket backup
    • Auto-tagging search
  • Advanced$249/month
    • All Plus features
    • Custom domain (CNAME)
    • Optional HTTPS SSL
  • Enterprise$null/custom
    • Multi-CDN infrastructure
    • Enterprise SLAs
    • Designated success manager

Dgraph

Free
  • CommunityFree
    • Native GraphQL
    • Graph queries
    • Full-text search
  • Cloud$39/month
    • Managed service
    • Auto-scaling
    • Enterprise support

Which should you pick?

Choose Cloudinary if

  • You want to start without paying.

Choose Dgraph if

  • You need apache 2.0 licence.
  • You want to start without paying.
  • You work on Linux, Mac, Docker, Web.
  • You also want generated graphql api.

Questions people ask

Is Cloudinary or Dgraph better?
Neither clearly leads. Cloudinary starts at Free and Dgraph at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cloudinary or Dgraph?
Cloudinary starts at Free and Dgraph at Free.
Does Cloudinary or Dgraph run on more platforms?
Cloudinary runs on Web. Dgraph runs on Linux, Mac, Docker, Web.
Can I use Cloudinary for free?
Both have a free tier, so you can try either at no cost before committing.
What is Cloudinary best used for?
Cloudinary is most often used for automating image transformations and delivery across multiple devices, generating ai-powered image captions and alternative text at scale, transcoding and optimizing video with automatic subtitle generation, building workflow automation for content teams without coding. Of those, automating image transformations and delivery across multiple devices and generating ai-powered image captions and alternative text at scale are not what Dgraph is typically brought in for.
What can Cloudinary do that Dgraph cannot?
Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding.

Answered from the vendors’ own pages

Cloudinary: What are included in Cloudinary's free plan?

Cloudinary's free plan includes upload widget, API access, search, remote fetch, auto-backup, revision tracking, image and video transformations, video transcoding, and CDN delivery. The free plan includes 25 monthly credits, 3 users, and 1 account with community support.

Source
Dgraph: Is Dgraph open source?

Yes. The current repository is Apache 2.0, which is a permissive OSI licence, and the project is at v25 under Hypermode's maintenance.

Cloudinary: How does Cloudinary's credit system work?

Cloudinary credits measure usage: one credit equals 1,000 transformations, or 1 GB managed storage, or 1 GB image bandwidth, or 2 GB video bandwidth. The free plan grants 25 credits per month, Plus plan 225 monthly credits, and Advanced plan 600 monthly credits.

Source
Dgraph: Is it really GraphQL?

It serves a generated GraphQL API, which is real GraphQL for clients. Its native language, DQL, resembles GraphQL syntactically but is Dgraph's own language and is not the GraphQL specification.

Cloudinary: What is the difference between Cloudinary Plus and Advanced plans?

Plus plan costs $99/month (or $89/month annually) and includes S3 backup, auto-tagging, and expedited support for up to 3 users across 2 accounts with 225 credits. Advanced is $249/month ($224/month annually), adds custom domain (CNAME) and SSL options for 5 users across 3 accounts with 600 credits.

Source
Dgraph: How does it compare to Neo4j?

Neo4j has the larger ecosystem, Cypher, and far more operational precedent. Dgraph distributes storage across nodes by default and gives you a GraphQL endpoint without writing resolvers. The choice usually turns on whether you need horizontal scale and a GraphQL surface more than you need ecosystem depth.

Cloudinary: Does Cloudinary offer annual billing discounts?

Yes. Cloudinary's annual billing provides discounts: Plus plan is $89/month when billed yearly (versus $99/month monthly), and Advanced plan is $224/month when billed yearly (versus $249/month monthly).

Source
Dgraph: What does a production cluster look like?

At minimum a set of Zero nodes for coordination and a replicated set of Alpha nodes for data, typically three of each for fault tolerance, which is a meaningfully larger operational footprint than a single graph server.

Dgraph: Who maintains it now?

Hypermode. Dgraph Labs, the original company, no longer operates it, and that change of custodian is the main non-technical risk to weigh.

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