Softwr

Databases · head to head

Dgraph vs GraphQL Playground

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
-
GraphQL Playground logo

GraphQL Playground

APIs

GraphQL IDE and documentation tool for building GraphQL APIs

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.; GraphQL Playground apollo's own documentation states GraphQL Playground is officially retired and no longer recommended, directing users to Apollo Sandbox instead
  • They diverge on capability: Dgraph covers Apache 2.0 licence, GraphQL Playground covers Query building.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dgraph and GraphQL Playground actually diverge.

Attributes where Dgraph and GraphQL Playground differ
AttributeDgraphGraphQL Playground
Pricing modelfreemiumopen-source
PlatformsLinux, Mac, Docker, WebWeb, Electron, Self-hosted
CategoryDatabasesAPIs
Founded20162018

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 GraphQL Playground

  • Query building
  • Schema introspection
  • Real-time testing
  • GraphQL servers
  • Apollo Studio
  • Custom servers
  • Web support
  • Electron support

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

GraphQL Playground

  • API Developmentnot Dgraph
  • API Gatewaynot Dgraph
  • API Testingnot Dgraph
  • API Documentationnot Dgraph
  • Microservicesnot 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.

GraphQL Playground

  • Apollo's own documentation states GraphQL Playground is officially retired and no longer recommended, directing users to Apollo Sandbox instead

Pricing, plan by plan

Dgraph

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

GraphQL Playground

Free
  • Open SourceFree
    • Full GraphQL IDE
    • Community 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 GraphQL Playground if

  • You need query building.
  • You want to start without paying.
  • You work on Web, Electron, Self-hosted.
  • You also want schema introspection.

Questions people ask

Is Dgraph or GraphQL Playground better?
Neither clearly leads. Dgraph starts at Free and GraphQL Playground at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dgraph or GraphQL Playground?
Dgraph starts at Free and GraphQL Playground at Free.
Does Dgraph or GraphQL Playground run on more platforms?
Dgraph runs on Linux, Mac, Docker, Web. GraphQL Playground runs on Web, Electron, Self-hosted.
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 GraphQL Playground is typically brought in for.
What can Dgraph do that GraphQL Playground cannot?
Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding. GraphQL Playground covers Query building, Schema introspection, Real-time testing, GraphQL servers.

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.

GraphQL Playground: Is GraphQL Playground free to use?

GraphQL Playground is a testing tool for Apollo Server and is free to use as part of the Apollo Server documentation. However, the broader Apollo GraphQL platform has various paid tiers available for production use.

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.

GraphQL Playground: Is GraphQL Playground part of a paid product?

GraphQL Playground is a testing tool within the Apollo ecosystem. While Playground itself is free, Apollo offers paid tiers starting at $5 per million requests for the Developer tier, with Standard and Enterprise plans available at custom pricing.

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.

GraphQL Playground: What is the cost structure for Apollo GraphQL's paid plans?

Apollo uses volume-based tiered pricing for requests: first 250M operations cost $5.00 per million plus $2.00 for performance add-on; next 750M operations are $4.25 per million plus $1.50 add-on; additional tiers scale down to $3.00 per million plus $0.50 add-on for operations over 5 billion.

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.

Share

Related pages

Other head to heads