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Databases · head to head

Dgraph vs Docker

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
Free plan
Yes
Visit DgraphFull review
Docker logo

Docker

Developer Tools

Accelerate how you build, share, and run applications

From
Free
Free plan
Yes
Visit DockerFull review

The short version

  • Free plans on both; paid from $39/mo and $11/mo.
  • Only Dgraph lists apache 2.0 licence; only Docker lists container runtime.
  • Where Docker falls short: shared kernel creates security vulnerabilities when containers share the same OS kernel that can bypass container isolation.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Dgraph and Docker actually diverge.

Attributes where Dgraph and Docker differ
AttributeDgraphDocker
PlatformsLinux, macOS, Self-hosted, WebLinux, macOS, Windows
CategoryDatabasesDeveloper Tools
Founded20162010

Identical on both: starting price (Free), free tier (Yes).

Not yet recorded: pricing model for Docker.

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 Docker

  • Container runtime
  • Docker Desktop
  • Docker Hub
  • Docker Compose
  • Container images
  • Dockerfile
  • Docker Swarm
  • BuildKit

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 Docker
  • A knowledge graph that outgrew a single machine and needs storage distributed across nodes without a per-core licence negotiationnot Docker
  • Recommendation or fraud-detection features that traverse several hops at request time, where a relational join chain has become the bottlenecknot Docker
  • Teams that want a graph database they can read, fork and self-host under a permissive licence rather than a source-available onenot Docker

Docker

  • Application containerizationnot Dgraph
  • Microservicesnot Dgraph
  • CI/CD pipelinesnot Dgraph
  • Development environmentsnot Dgraph
  • Cloud migrationnot 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

Docker

  • Shared kernel creates security vulnerabilities when containers share the same OS kernel that can bypass container isolation
  • Daemon socket exposure grants full root access to the host if compromised
  • Requires careful secrets management - credentials embedded in images or environment variables are easily harvested by attackers
  • Resource management complexity - misbehaving or compromised containers can consume all resources causing denial of service
  • Orchestration complexity - Docker Swarm is less capable than Kubernetes, requiring external tools for production deployments

Pricing, plan by plan

Dgraph

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

Docker

Free

No published plan breakdown. See the Docker review.

Which should you pick?

Choose Dgraph if

  • You need apache 2.0 licence.
  • You want to start without paying.
  • You work on Linux, macOS, Self-hosted, Web.
  • You also want generated graphql api.
Dgraph review

Choose Docker if

  • You need container runtime.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want docker desktop.
Docker review

Questions people ask

Is Dgraph or Docker better?
Neither clearly leads. Dgraph starts at Free and Docker at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dgraph or Docker?
Dgraph starts at Free and Docker at Free.
Does Dgraph or Docker run on more platforms?
Dgraph runs on Linux, macOS, Self-hosted, Web. Docker runs on Linux, macOS, Windows.
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 Docker is typically brought in for.
What can Dgraph do that Docker cannot?
Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding. Docker covers Container runtime, Docker Desktop, Docker Hub, Docker Compose.

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.

Docker: What is Docker pricing?

Docker offers a freemium model with Docker Personal free, Docker Pro at $11/user/month, Docker Team at $16/user/month, and Docker Business at $24/user/month. Each tier includes Docker Desktop, Docker Hub, and Docker Scout with different usage limits.

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.

Docker: Can I use Docker in production?

Yes. Docker is used extensively in production environments. However, for container orchestration at scale, Kubernetes is typically paired with Docker to automate deployment, scaling, and management across clusters.

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.

Docker: What are the main security concerns with Docker?

Key security risks include container breakout vulnerabilities through shared kernel exploits, daemon socket exposure that grants root access if compromised, weak isolation between containers, and credential leakage if secrets are embedded in images.

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.

Docker: Does Docker integrate with CI/CD systems?

Yes. Docker integrates with Jenkins, GitHub, and other CI/CD systems. The typical workflow involves GitHub repositories triggering automated builds in Jenkins, which prepare Dockerfiles and push images to Docker Hub for deployment.

Source
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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