Softwr

Databases · head to head

Dgraph vs Rust

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
Rust logo

Rust

Developer Tools

A language empowering everyone to build reliable and efficient software

From
Free
Free plan
Yes
Visit RustFull review

The short version

  • Rust is a systems programming language.
  • Rust is free; Dgraph starts at $39/mo.
  • Only Dgraph lists apache 2.0 licence; only Rust lists memory safety.
  • Where Rust falls short: compile times significantly longer than languages like Go or C.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Dgraph and Rust actually diverge.

Attributes where Dgraph and Rust differ
AttributeDgraphRust
Pricing modelFreemiumOpen-source
PlatformsLinux, macOS, Self-hosted, WebWindows, Linux, macOS
CategoryDatabasesDeveloper Tools
Founded20162010

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

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 Rust

  • Memory safety
  • Zero-cost abstractions
  • Ownership system
  • Pattern matching
  • Type inference
  • Cargo package manager
  • Cross compilation
  • Fearless concurrency

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

Rust

  • Systems programming and operating system developmentnot Dgraph
  • Performance-critical applicationsnot Dgraph
  • Embedded systems and firmwarenot Dgraph
  • Network services and concurrent applicationsnot 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

Rust

  • Compile times significantly longer than languages like Go or C
  • Smaller ecosystem of libraries and frameworks compared to Python or JavaScript
  • Community still smaller than mainstream languages, reducing available third-party resources

Pricing, plan by plan

Dgraph

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

Rust

Free

No published plan breakdown. See the Rust 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 Rust if

  • You need memory safety.
  • You want to start without paying.
  • You work on Windows, Linux, macOS.
  • You also want zero-cost abstractions.
Rust review

Questions people ask

Is Dgraph or Rust better?
Neither clearly leads. Dgraph starts at Free and Rust at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dgraph or Rust?
Dgraph starts at Free and Rust at Free.
Does Dgraph or Rust run on more platforms?
Dgraph runs on Linux, macOS, Self-hosted, Web. Rust runs on Windows, Linux, macOS.
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 Rust is typically brought in for.
What can Dgraph do that Rust cannot?
Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding. Rust covers Memory safety, Zero-cost abstractions, Ownership system, Pattern matching.

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.

Rust: Is Rust free?

Yes, Rust is free and open-source. The Rust Foundation provides institutional support for this community-driven project, and there are no costs associated with using the programming language.

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.

Rust: What license does Rust use?

Rust is open-source and operated under an open-source license. Full license details are available in the policies section of the Rust website.

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.

Share

Related pages

More on Dgraph

More on Rust

Keep looking

Other head to heads