Databases · head to head
Dgraph vs Nix

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

Nix
Developer Tools
Purely functional package manager and the NixOS distribution built on it, for byte-reproducible environments
- From
- Free
- Free plan
- Yes
The short version
- Nix is free; Dgraph starts at $39/mo.
- Only Dgraph lists apache 2.0 licence; only Nix lists content-addressed store.
- Prices and features on this page were last checked on 13 November 2026.
Where they differ
Only the attributes on which Dgraph and Nix actually diverge.
Identical on both: starting price (Free), free tier (Yes).
Not yet recorded: founded for Nix.
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 Nix
- Content-addressed store
- Declarative system configuration
- Atomic upgrades and rollback
- nix develop shells
- Flakes
- Nixpkgs
- Binary caches
- Home Manager
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 Nix
- A knowledge graph that outgrew a single machine and needs storage distributed across nodes without a per-core licence negotiationnot Nix
- Recommendation or fraud-detection features that traverse several hops at request time, where a relational join chain has become the bottlenecknot Nix
- Teams that want a graph database they can read, fork and self-host under a permissive licence rather than a source-available onenot Nix
Nix
- A team that wants every developer and CI runner to use byte-identical toolchains without shipping a container for local worknot Dgraph
- Reproducing a research computation or a build years later from a pinned commit rather than a written recipenot Dgraph
- Managing a fleet of Linux servers declaratively with atomic rollback if a deployment breaks a servicenot Dgraph
- Building minimal container images from precise dependency closures instead of a base image plus a package managernot 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
Nix
- The Nix language is lazy, dynamically typed and poorly documented, and its error messages frequently point at the wrong expression, so debugging a failing build is a skill that takes months rather than days to acquire
- Flakes are the way essentially everyone uses Nix in 2026 and are still formally an experimental feature behind a flag, meaning tutorials, official documentation and real practice disagree with each other constantly
- Anything that expects a conventional Linux filesystem layout breaks: prebuilt binaries, language package managers that download their own toolchains, and proprietary vendor installers all need patching or an FHS-compatible wrapper
- Project governance has been publicly fractious, producing the Lix fork and the separately funded Determinate Systems distribution, so a new adopter now has to choose which Nix before they can start
- The /nix/store grows without bound until you garbage collect, and on a developer laptop with several pinned nixpkgs revisions it routinely reaches tens of gigabytes
Pricing, plan by plan
Dgraph
Free- CommunityFree
- Native GraphQL
- Graph queries
- Full-text search
- Cloud$39/mo
- Managed service
- Auto-scaling
- Enterprise support
Nix
Free- Nix and NixOSFree
- LGPL-2.1 licensed, no commercial tier
- Public binary cache at cache.nixos.org
- Community support via forum, Matrix and GitHub
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.
Choose Nix if
- You need content-addressed store.
- You want to start without paying.
- You work on Linux, macOS, Windows.
- You also want declarative system configuration.
Questions people ask
- Is Dgraph or Nix better?
- Neither clearly leads. Dgraph starts at Free and Nix at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dgraph or Nix?
- Dgraph starts at Free and Nix at Free.
- Does Dgraph or Nix run on more platforms?
- Dgraph runs on Linux, macOS, Self-hosted, Web. Nix 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 Nix is typically brought in for.
- What can Dgraph do that Nix cannot?
- Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding. Nix covers Content-addressed store, Declarative system configuration, Atomic upgrades and rollback, nix develop shells.
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.
Nix: Do I have to run NixOS to use Nix?
No. The package manager runs fine on any Linux distribution and on macOS, and most teams start there with development shells rather than converting their servers.
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.
Nix: Is Nix a replacement for Docker?
It solves an adjacent problem. Nix reproduces the contents of an environment exactly; Docker distributes an image. Many teams use Nix to build the image.
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.
Nix: Are flakes safe to use in production?
They are used in production widely and are stable in practice, but they remain officially experimental, which means the interface can still change and documentation is split.
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.
Nix: What is Lix and should I care?
Lix is a community fork of the Nix implementation created after governance disputes. It is largely compatible; the practical impact is that you must decide which implementation your team standardises on.
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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- Nix vs Firebase Realtime Database
- Nix vs RavenDB
- Nix vs ScyllaDB
- Nix vs Cockroach Labs
- Nix vs DynamoDB
- Nix vs Qdrant
- Nix vs SingleStore
- Nix vs TiDB
- Nix vs Tinybird
- Nix vs Typesense
- Nix vs Valkey
- Nix vs CouchDB
- Nix vs Docker
- Nix vs Ansible
- Nix vs Garden
- Nix vs Jenkins
- Nix vs ConfigCat
- Nix vs OpsLevel
- Nix vs Depot
- Nix vs Blacksmith
- Nix vs WarpBuild
- Nix vs Namespace
- Nix vs Kubernetes
- Nix vs LaunchDarkly
- Nix vs Notepad++
- Nix vs Postman
- Nix vs Prettier
- Nix vs Rust
- Nix vs StackBlitz
- Nix vs Steampipe
