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Databases · head to head

Dgraph vs Octopus Deploy

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
Octopus Deploy logo

Octopus Deploy

Developer Tools

Continuous delivery and runbook automation for releases

From
Free
Free plan
Yes
Visit Octopus DeployFull review

The short version

  • Free plans on both; paid from $39/mo and $2080/yr.
  • Where Octopus Deploy falls short: free tier caps at 10 projects, 10 tenants, 10 machines, 10 users, 5 concurrent tasks and 1 space.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Dgraph and Octopus Deploy actually diverge.

Attributes where Dgraph and Octopus Deploy differ
AttributeDgraphOctopus Deploy
Pricing modelFreemiumSubscription
PlatformsLinux, macOS, Self-hosted, WebWeb
CategoryDatabasesDeveloper Tools

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

Not yet recorded: founded for Octopus Deploy.

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 Octopus Deploy

Nothing recorded that Dgraph does not also cover.

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

Octopus Deploy

  • Automating software deployments across development, testing, productionnot Dgraph
  • Automating emergency tasks like website failover and incident responsenot Dgraph
  • Managing multi-tenant deployments without duplicating configurationnot Dgraph
  • Tracking DORA metrics and enforcing deployment approval gatesnot 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

Octopus Deploy

  • Free tier caps at 10 projects, 10 tenants, 10 machines, 10 users, 5 concurrent tasks and 1 space
  • Annual billing is the only option for both Octopus Cloud and Octopus Server; there is no monthly plan
  • Professional cloud tier is $4,330 per year and Enterprise cloud is $24,600 per year, with tenants and machines sold as add-ons beyond the free allotment

Pricing, plan by plan

Dgraph

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

Octopus Deploy

Free
  • FreeFree
    • 10 projects
    • 10 tenants
    • 10 machines
  • Professional (Cloud)$4,330/yr
    • Up to 100 projects
    • Unlimited spaces and users
    • Tenants and machines available as add-ons
  • Professional (Server)$2,080/yr
    • Up to 100 projects
    • Unlimited spaces and users
    • Tenants and machines available as add-ons
  • Enterprise (Cloud)$24,600/yr
    • 100+ projects supported
    • Unlimited spaces and users
    • 20 concurrent tasks

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 Octopus Deploy if

  • You want to start without paying.
Octopus Deploy review

Questions people ask

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

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.

Octopus Deploy: How much does Octopus Deploy cost?

Octopus Deploy offers a free tier at $0/year with limits on projects (10), users (10), and tenants (10). Professional plans start at $2,080/year for self-hosted or $4,330/year for cloud hosting.

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.

Octopus Deploy: What does the free Octopus Deploy tier include?

The free tier includes 10 projects, 10 tenants, 10 machines, 10 users, 5 concurrent tasks, 1TB file storage, 100GB database storage, and community support only.

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.

Octopus Deploy: Can I try Octopus Deploy for free before purchasing?

Yes, a free tier is available with unlimited duration but capped usage, plus a 30-day free trial with full Enterprise features is offered to evaluate the platform.

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.

Octopus Deploy: What are the Enterprise pricing differences between Cloud and Server hosting?

Enterprise Cloud hosting costs $24,600/year and includes 20 concurrent tasks and 24/7 support. Enterprise Server self-hosted costs $15,600/year with flexible concurrent task configuration and 24/7 support.

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.

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