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Databases · head to head

Dgraph vs Oracle Cloud

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
-
Oracle Cloud logo

Oracle Cloud

Cloud

Enterprise cloud computing services

From
Free
Rated
-

The short version

  • Each has a real cost: 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.; Oracle Cloud the free trial gives US$300 of credit that expires when consumed or after 30 days, whichever comes first
  • They diverge on capability: Dgraph covers Apache 2.0 licence, Oracle Cloud covers Autonomous Database.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dgraph and Oracle Cloud actually diverge.

Attributes where Dgraph and Oracle Cloud differ
AttributeDgraphOracle Cloud
Pricing modelfreemiumusage-based
PlatformsLinux, Mac, Docker, WebLinux, Windows, Api, Cli
CategoryDatabasesCloud
Founded20162019

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 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

Only in Oracle Cloud

  • Autonomous Database
  • Compute Instances
  • MySQL Database Service
  • Object Storage
  • Block Volume
  • Load Balancers
  • Virtual Cloud Network
  • API Gateway

What people use each for

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

Dgraph

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

Oracle Cloud

  • Running virtual machines, databases and storage on Oracle's cloud infrastructurenot Dgraph
  • Hosting Oracle Database workloads on infrastructure from the same vendornot Dgraph

Where each one falls short

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

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.

Oracle Cloud

  • The free trial gives US$300 of credit that expires when consumed or after 30 days, whichever comes first
  • The US$300 cloud credit is available only in select countries
  • Only one Oracle Cloud Free Trial or Always Free account is permitted per person
  • Accounts left idle for 30 days or more are eligible for suspension or termination as abandoned
  • Always Free NoSQL Database is restricted to the Phoenix region
  • Free Tier availability is subject to capacity limits, and the published per-service capacity figures are estimates that assume the entire credit is spent on that one service

Pricing, plan by plan

Dgraph

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

Oracle Cloud

Free
  • Always FreeFree
    • Oracle Autonomous Database
    • 2 compute instances
    • 100 GB storage
  • Pay-as-You-GoFree
    • Flexible pricing
    • No long-term commitment
    • Enterprise support

Which should you pick?

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.

Choose Oracle Cloud if

  • You need autonomous database.
  • You want to start without paying.
  • You work on Linux, Windows, Api, Cli.
  • You also want compute instances.

Questions people ask

Is Dgraph or Oracle Cloud better?
Neither clearly leads. Dgraph starts at Free and Oracle Cloud at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dgraph or Oracle Cloud?
Dgraph starts at Free and Oracle Cloud at Free.
Does Dgraph or Oracle Cloud run on more platforms?
Dgraph runs on Linux, Mac, Docker, Web. Oracle Cloud runs on Linux, Windows, Api, Cli.
Can I use Dgraph for free?
Both have a free tier, so you can try either at no cost before committing.
What is Dgraph best used for?
Dgraph is most often used for an application whose core data is a graph, such as permissions, social connections or product relationships, where the frontend already consumes graphql, a knowledge graph that outgrew a single machine and needs storage distributed across nodes without a per-core licence negotiation, recommendation or fraud-detection features that traverse several hops at request time, where a relational join chain has become the bottleneck, teams that want a graph database they can read, fork and self-host under a permissive licence rather than a source-available one. Of those, an application whose core data is a graph, such as permissions, social connections or product relationships, where the frontend already consumes graphql and a knowledge graph that outgrew a single machine and needs storage distributed across nodes without a per-core licence negotiation are not what Oracle Cloud is typically brought in for.
What can Dgraph do that Oracle Cloud cannot?
Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding. Oracle Cloud covers Autonomous Database, Compute Instances, MySQL Database Service, Object Storage.

Answered from the vendors’ own pages

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.

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.

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.

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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