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Databases · head to head

Dgraph vs SurrealDB

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
SurrealDB logo

SurrealDB

Databases

Multi-model database combining documents, graphs, vectors and time-series

From
Free
Rated
-
Full reviewWebsite

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.; SurrealDB the listed $0.192/node/hr Scale pricing lacks transparent higher-tier rates, requiring a sales conversation for full production sizing.
  • They diverge on capability: Dgraph covers Apache 2.0 licence, SurrealDB covers Multi-model engine.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dgraph and SurrealDB actually diverge.

Attributes where Dgraph and SurrealDB differ
AttributeDgraphSurrealDB
Pricing modelfreemiumusage-based
PlatformsLinux, Mac, Docker, Webweb, api, windows, mac, linux
Founded20162022

Identical on both: starting price (Free), 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 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 SurrealDB

  • Multi-model engine
  • ACID transactions
  • Hybrid retrieval
  • Horizontal scaling
  • Multi-region disaster recovery
  • FIPS-compliant cryptography

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

SurrealDB

  • AI agent memory and retrieval-augmented generationnot Dgraph
  • Applications needing documents, graphs and vectors in one databasenot Dgraph
  • Knowledge graph construction from unstructured datanot Dgraph
  • Regulated workloads requiring SOC2/ISO27001/HIPAA-eligible hostingnot 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.

SurrealDB

  • The listed $0.192/node/hr Scale pricing lacks transparent higher-tier rates, requiring a sales conversation for full production sizing.
  • As a newer multi-model database, it has a smaller ecosystem of drivers, ORMs and community tooling than established single-model databases.
  • HIPAA compliance is only available as an Enterprise add-on rather than included in standard paid tiers.
  • Combining multiple data models in one engine can add query-planning complexity compared to purpose-built single-model databases.

Pricing, plan by plan

Dgraph

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

SurrealDB

Free
  • StartFree
    • 1 free instance, then from $0.021/hr
    • 1GB storage free forever
    • Vertical scaling to terabytes
  • Scale$0.192/month
    • $0.192/node/hr
    • Production-grade fault tolerance
    • Horizontal scaling to petabytes
  • Enterprise$undefined/month
    • Self-hosted, custom pricing
    • Clustered fault-tolerant deployments
    • FIPS-compliant cryptography

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.
Dgraph review

Choose SurrealDB if

  • You need multi-model engine.
  • You want to start without paying.
  • You work on web, api, windows, mac, linux.
  • You also want acid transactions.
SurrealDB review

Questions people ask

Is Dgraph or SurrealDB better?
Neither clearly leads. Dgraph starts at Free and SurrealDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dgraph or SurrealDB?
Dgraph starts at Free and SurrealDB at Free.
Does Dgraph or SurrealDB run on more platforms?
Dgraph runs on Linux, Mac, Docker, Web. SurrealDB runs on web, api, windows, mac, linux.
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 SurrealDB is typically brought in for.
What can Dgraph do that SurrealDB cannot?
Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding. SurrealDB covers Multi-model engine, ACID transactions, Hybrid retrieval, Horizontal scaling.

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.

SurrealDB: What does SurrealDB cost?

SurrealDB Cloud's Start plan is free with one free instance (then from $0.021/hr), the Scale plan runs $0.192/node/hr for production workloads, and Enterprise self-hosted deployments use custom pricing.

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.

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

Yes, the Start plan includes one free instance with 1GB of storage free forever and 1GB of outbound data transfer per month, aimed at prototypes and development.

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.

SurrealDB: How is billing handled?

Customers are invoiced monthly based on actual usage in a pay-as-you-go model with no long-term commitments, though commitment-based discounts are available.

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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