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Databases · head to head

Dgraph vs Neon

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
Neon logo

Neon

Cloud

Serverless Postgres for modern developers

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.; Neon compute pricing at $0.106-$0.222/CU-hour means costs scale directly with workload, unlike fixed-price alternatives
  • They diverge on capability: Dgraph covers Apache 2.0 licence, Neon covers Serverless PostgreSQL.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dgraph and Neon actually diverge.

Attributes where Dgraph and Neon differ
AttributeDgraphNeon
Pricing modelfreemiumUnknown
PlatformsLinux, Mac, Docker, WebCloud
CategoryDatabasesCloud
Founded20162021

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 Neon

  • Serverless PostgreSQL
  • Database Branching
  • Autoscaling
  • Bottomless Storage
  • Point-in-time Recovery
  • Connection Pooling
  • Read Replicas
  • Instant Cloning

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

Neon

  • Serverless applicationsnot Dgraph
  • Development databasesnot Dgraph
  • Preview environmentsnot Dgraph
  • Testingnot 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.

Neon

  • Compute pricing at $0.106-$0.222/CU-hour means costs scale directly with workload, unlike fixed-price alternatives
  • Separation of compute and storage may add complexity to cost prediction compared to all-in-one plans

Pricing, plan by plan

Dgraph

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

Neon

Free
  • FreeFree
    • 100 CU-hours/month
    • 0.5 GB storage
    • 1 project
  • Launch$15/month
    • Pay-as-you-go compute
    • $0.35/GB storage
    • Multiple projects
  • Scale$31/month
    • Higher compute rates
    • 99.95% SLA
    • HIPAA compliance

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 Neon if

  • You need serverless postgresql.
  • You want to start without paying.
  • You work on Cloud.
  • You also want database branching.
Neon review

Questions people ask

Is Dgraph or Neon better?
Neither clearly leads. Dgraph starts at Free and Neon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dgraph or Neon?
Dgraph starts at Free and Neon at Free.
Does Dgraph or Neon run on more platforms?
Dgraph runs on Linux, Mac, Docker, Web. Neon runs on Cloud.
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 Neon is typically brought in for.
What can Dgraph do that Neon cannot?
Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding. Neon covers Serverless PostgreSQL, Database Branching, Autoscaling, Bottomless Storage.

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.

Neon: What is Neon and what makes it different?

Neon is a serverless PostgreSQL database that separates compute and storage, enabling automatic scaling and instant database branching. After acquisition by Databricks in May 2025, pricing has been significantly reduced.

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.

Neon: Does Neon offer a free tier?

Yes, Neon's free tier includes 100 compute units per month and 0.5 GB of storage. This is suitable for development and small projects.

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.

Neon: What are the paid plans and pricing for Neon?

Neon offers consumption-based pricing on Launch ($0.106/CU-hour, approximately $15/month) and Scale ($0.222/CU-hour, approximately $31/month) plans with separate storage billing at $0.35/GB-month. No monthly minimum required.

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.

Neon: What features does Neon provide?

Neon includes git-like branching for database copies, point-in-time recovery, data anonymization for testing, managed authentication, serverless functions, and object storage that branches with projects.

Source
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.

Neon: What compliance and reliability guarantees does Neon provide?

Neon's Scale tier offers 99.95% uptime SLA, HIPAA compliance, SOC2 certification, and private networking via PrivateLink at no extra cost.

Source
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