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Databases · head to head

Dgraph vs MySQL

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
MySQL logo

MySQL

Web Development

The world's most popular open source database

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.; MySQL hot online backup is not in the free Community Server; MySQL Enterprise Backup is a paid Enterprise Edition component
  • They diverge on capability: Dgraph covers Apache 2.0 licence, MySQL covers ACID compliance.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dgraph and MySQL actually diverge.

Attributes where Dgraph and MySQL differ
AttributeDgraphMySQL
PlatformsLinux, Mac, Docker, WebWindows, Macos, Linux, Unix
CategoryDatabasesWeb Development
Founded20161995

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 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 MySQL

  • ACID compliance
  • SQL support
  • Multi-version concurrency control
  • Replication
  • Partitioning
  • Stored procedures
  • Triggers
  • Views

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

MySQL

  • Web application backendnot Dgraph
  • E-commerce platformsnot Dgraph
  • Content management systemsnot Dgraph
  • Data warehousingnot Dgraph
  • Business 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.

MySQL

  • Hot online backup is not in the free Community Server; MySQL Enterprise Backup is a paid Enterprise Edition component
  • Transparent Data Encryption, data masking and de-identification are Enterprise Edition only
  • MySQL Enterprise Firewall, which guards against SQL injection, and MySQL Enterprise Audit are both paid components
  • External authentication against PAM or Windows Active Directory requires MySQL Enterprise Authentication
  • The thread pool ships as MySQL Enterprise Scalability rather than in the community build

Pricing, plan by plan

Dgraph

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

MySQL

Free
  • Community EditionFree
    • Open source license
    • Full SQL support
    • InnoDB storage engine
  • Standard Edition$2000/year
    • Commercial license
    • Oracle Premier Support
    • MySQL Enterprise backup
  • Enterprise Edition$5000/year
    • Advanced security
    • MySQL Enterprise Monitor
    • High Availability

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 MySQL if

  • You need acid compliance.
  • You want to start without paying.
  • You work on Windows, Macos, Linux, Unix.
  • You also want sql support.
MySQL review

Questions people ask

Is Dgraph or MySQL better?
Neither clearly leads. Dgraph starts at Free and MySQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dgraph or MySQL?
Dgraph starts at Free and MySQL at Free.
Does Dgraph or MySQL run on more platforms?
Dgraph runs on Linux, Mac, Docker, Web. MySQL runs on Windows, Macos, Linux, Unix.
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 MySQL is typically brought in for.
What can Dgraph do that MySQL cannot?
Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding. MySQL covers ACID compliance, SQL support, Multi-version concurrency control, Replication.

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.

MySQL: Does MySQL cost money?

MySQL is primarily open-source and free to use. Commercial editions and support services are available but pricing is not published on the main website.

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.

MySQL: How do I get MySQL pricing information?

For MySQL commercial editions and support pricing, customers can contact MySQL sales directly at +1-866-221-0634 or navigate to individual product pages.

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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