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APIs · head to head

Apollo GraphQL vs Dgraph

Apollo GraphQL logo

Apollo GraphQL

APIs

GraphQL platform and API orchestration layer for building unified graphs

From
Free
Rated
-
Full reviewWebsite
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
-
Full reviewWebsite

The short version

  • Each has a real cost: Apollo GraphQL pricing beyond the Developer tier requires contacting sales, making cost comparison harder for mid-size teams.; 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.
  • They diverge on capability: Apollo GraphQL covers Apollo Connectors, Dgraph covers Apache 2.0 licence.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Apollo GraphQL and Dgraph differ
AttributeApollo GraphQLDgraph
Platformsweb, apiLinux, Mac, Docker, Web
CategoryAPIsDatabases
FoundedUnknown2016

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

  • Apollo Connectors
  • GraphOS Router
  • Schema registry
  • Schema checks
  • Response caching
  • Audit logging

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.

Apollo GraphQL

  • Federating multiple backend services into one GraphQL APInot Dgraph
  • Wrapping legacy REST APIs for frontend consumptionnot Dgraph
  • Enterprise API governance with schema checks and audit logsnot Dgraph
  • Reducing frontend over-fetching and under-fetching of datanot Dgraph

Dgraph

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

Where each one falls short

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

Apollo GraphQL

  • Pricing beyond the Developer tier requires contacting sales, making cost comparison harder for mid-size teams.
  • Adopting GraphOS effectively requires buy-in to the GraphQL paradigm, which is a larger architectural shift than adding a REST gateway.
  • The free plan's 1-day data retention and 60 req/min self-hosted router limit make it unsuitable for production use.
  • Volume-based per-request pricing can become expensive at very high request volumes compared to flat-rate API gateways.

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

Apollo GraphQL

Free
  • FreeFree
    • Up to 3 developers
    • 1-day data retention
    • Community support
  • Developer$5/month
    • $5 per million requests with volume discounts
    • $50 usage credit for new signups
    • Up to 10 developers
  • Standard$undefined/month
    • Up to 30 developers
    • 90-day data retention
    • Standard support with SLA
  • Enterprise$undefined/month
    • Unlimited developers
    • 18-month data retention
    • 24x7x365 support with SLA

Dgraph

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

Which should you pick?

Choose Apollo GraphQL if

  • You need apollo connectors.
  • You want to start without paying.
  • You work on web, api.
  • You also want graphos router.
Apollo GraphQL review

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.
Dgraph review

Questions people ask

Is Apollo GraphQL or Dgraph better?
Neither clearly leads. Apollo GraphQL 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, Apollo GraphQL or Dgraph?
Apollo GraphQL starts at Free and Dgraph at Free.
Does Apollo GraphQL or Dgraph run on more platforms?
Apollo GraphQL runs on web, api. Dgraph runs on Linux, Mac, Docker, Web.
Can I use Apollo GraphQL for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apollo GraphQL best used for?
Apollo GraphQL is most often used for federating multiple backend services into one graphql api, wrapping legacy rest apis for frontend consumption, enterprise api governance with schema checks and audit logs, reducing frontend over-fetching and under-fetching of data. Of those, federating multiple backend services into one graphql api and wrapping legacy rest apis for frontend consumption are not what Dgraph is typically brought in for.
What can Apollo GraphQL do that Dgraph cannot?
Apollo GraphQL covers Apollo Connectors, GraphOS Router, Schema registry, Schema checks. Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding.

Answered from the vendors’ own pages

Apollo GraphQL: What does Apollo GraphQL cost?

The Free plan supports up to 3 developers at no cost. Developer plan starts at $5 per million requests with a $50 signup credit, while Standard and Enterprise require contacting sales for custom pricing.

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.

Apollo GraphQL: Is there a free plan and what are its limits?

Yes, the Free 'Forever Free' plan supports up to 3 developers, 1-day data retention for checks and insights, and a self-hosted router capped at 60 requests per minute.

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.

Apollo GraphQL: How is usage metered on paid plans?

Standard requests are billed per million operations with tiered volume discounts, starting at $5.00/million for the first 250M and dropping to $3.00/million beyond 5B, with similar tiered pricing for subscription update events.

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.

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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