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Databases · head to head

Dgraph vs Directual

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
Directual logo

Directual

No-Code

No-code backend with a visual workflow engine, used behind other tools rather than instead of them

From
Free
Free plan
Yes
Visit DirectualFull review

The short version

  • Directual is free; Dgraph starts at $39/mo.
  • Only Dgraph lists apache 2.0 licence; only Directual lists visual database designer.
  • Where Directual falls short: self-hosting is confined to the top commercial tier, so the ownership advantage is available only to buyers already spending at the high end.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Dgraph and Directual actually diverge.

Attributes where Dgraph and Directual differ
AttributeDgraphDirectual
Pricing modelFreemiumQuote
PlatformsLinux, macOS, Self-hosted, WebWeb
CategoryDatabasesNo-Code

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

Not yet recorded: founded for Directual.

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 Directual

  • Visual database designer
  • Scenario builder
  • Generated API endpoints
  • Event-driven triggers
  • Role and permission model
  • Scheduled jobs
  • Basic web page builder
  • Self-hosted deployment

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

Directual

  • Providing the backend for a Webflow or FlutterFlow front end that needs real data, authentication and logicnot Dgraph
  • Replacing an Airtable base that has outgrown its row limits without hiring a backend developernot Dgraph
  • Event-driven workflows such as order processing or scheduled billing runs that must run without a person triggering themnot Dgraph
  • Organisations with a data residency requirement that rules out most no-code platforms, using the self-hosted tiernot 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

Directual

  • The front-end builder is basic, so any project needing a designed interface means learning and paying for a second tool, and time to launch is closer to a two-system build than a one-tool build
  • Visual scenarios become unreadable once the logic is non-trivial; a workflow that would be forty lines of code sprawls across a canvas, and reviewing what a colleague built is slow
  • Debugging asynchronous, event-triggered scenarios is harder than debugging code, because failures surface as records left in an unexpected state rather than as a stack trace at the point of failure
  • Self-hosting is confined to the top commercial tier, so the ownership advantage is available only to buyers already spending at the high end
  • The pool of agencies and freelancers who know Directual is small next to Bubble or Airtable, so handing a finished system to someone else to maintain is harder and more expensive

Pricing, plan by plan

Dgraph

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

Directual

Free
  • DirectualOn request
    • Free tier with capped records and API calls
    • Paid tiers priced by database rows, API calls and scenario runs
    • Self-hosted deployment on the top tier only

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 Directual if

  • You need visual database designer.
  • You want to start without paying.
  • You also want scenario builder.
Directual review

Questions people ask

Is Dgraph or Directual better?
Neither clearly leads. Dgraph starts at Free and Directual at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dgraph or Directual?
Dgraph starts at Free and Directual at Free.
Does Dgraph or Directual run on more platforms?
Dgraph runs on Linux, macOS, Self-hosted, Web. Directual runs on Web.
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 Directual is typically brought in for.
What can Dgraph do that Directual cannot?
Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding. Directual covers Visual database designer, Scenario builder, Generated API endpoints, Event-driven triggers.

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.

Directual: Is Directual a replacement for Bubble?

Not directly. Bubble builds the whole application; Directual builds the backend and expects you to bring a front end such as Webflow or FlutterFlow.

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.

Directual: Can I host it myself?

Yes, on the top commercial tier. That is unusual in no-code and it is the main reason regulated buyers look at it at all.

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.

Directual: How does it cope with large data volumes?

It is built on a real database with indexing rather than a spreadsheet abstraction, so record counts that break Airtable-class tools are within its normal range.

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.

Directual: What happens to my logic if I leave?

The data exports and the API is documented, but scenarios are platform-specific and have to be reimplemented, unless you are already on the self-hosted tier.

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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