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Developer Tools · head to head

Azure DevOps vs Dgraph

Azure DevOps logo

Azure DevOps

Developer Tools

Plan smarter, collaborate better, and ship faster

From
Free
Free plan
Yes
Visit Azure DevOpsFull review
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

The short version

  • Free plans on both; paid from $2/mo and $39/mo.
  • Where Azure DevOps falls short: first 5 users free applies to Basic plan only; Test Plans users are not included in free tier.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Azure DevOps and Dgraph actually diverge.

Attributes where Azure DevOps and Dgraph differ
AttributeAzure DevOpsDgraph
Pricing modelMixedFreemium
PlatformsWebLinux, macOS, Self-hosted, Web
CategoryDeveloper ToolsDatabases

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

Not yet recorded: founded for Azure DevOps.

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 Azure DevOps

Nothing recorded that Dgraph does not also cover.

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

What people use each for

The jobs each tool is most often brought in to do.

Azure DevOps

  • CI/CD pipelines and build automation for software development teamsnot Dgraph
  • Source code repository management and version controlnot Dgraph
  • Test planning and tracking for QA teamsnot Dgraph
  • Artifact storage for packages and binariesnot Dgraph

Dgraph

  • An application whose core data is a graph, such as permissions, social connections or product relationships, where the frontend already consumes GraphQLnot Azure DevOps
  • A knowledge graph that outgrew a single machine and needs storage distributed across nodes without a per-core licence negotiationnot Azure DevOps
  • Recommendation or fraud-detection features that traverse several hops at request time, where a relational join chain has become the bottlenecknot Azure DevOps
  • Teams that want a graph database they can read, fork and self-host under a permissive licence rather than a source-available onenot Azure DevOps

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Azure DevOps

  • First 5 users free applies to Basic plan only; Test Plans users are not included in free tier
  • Storage pricing increases per-GiB cost as volumes grow, with no volume discount threshold below $0.25

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

Pricing, plan by plan

Azure DevOps

Free
  • Basic$6/user/mo
    • First 5 users free
    • Additional users $6/user/month
    • Pipelines (free tier)
  • Basic + Test Plans$52/user/mo
    • All Basic features
    • Test planning, tracking, and execution
  • Azure Pipelines CI/CD - Microsoft-hosted$40
    • 1 free parallel job with 1,800 minutes per month
    • Additional jobs at $40/month each
  • Azure Artifacts Storage$2/month per gib
    • First 2 GiB free
    • 2-10 GiB: $2/GiB
    • 10-100 GiB: $1/GiB

Dgraph

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

Which should you pick?

Choose Azure DevOps if

  • You want to start without paying.
Azure DevOps review

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

Questions people ask

Is Azure DevOps or Dgraph better?
Neither clearly leads. Azure DevOps starts at Free and Dgraph at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Azure DevOps or Dgraph?
Azure DevOps starts at Free and Dgraph at Free.
Does Azure DevOps or Dgraph run on more platforms?
Azure DevOps runs on Web. Dgraph runs on Linux, macOS, Self-hosted, Web.
Can I use Azure DevOps for free?
Both have a free tier, so you can try either at no cost before committing.
What is Azure DevOps best used for?
Azure DevOps is most often used for ci/cd pipelines and build automation for software development teams, source code repository management and version control, test planning and tracking for qa teams, artifact storage for packages and binaries. Of those, ci/cd pipelines and build automation for software development teams and source code repository management and version control are not what Dgraph is typically brought in for.
What can Azure DevOps do that Dgraph cannot?
Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding.

Answered from the vendors’ own pages

Azure DevOps: How much does Azure DevOps cost?

Azure DevOps Basic plan is $6 per user per month after the first 5 users are free. Basic + Test Plans tier costs $52 per user per month. Azure Pipelines add-on for extra parallel jobs costs $40 per job for Microsoft-hosted runners and $15 per job for self-hosted runners.

Source
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.

Azure DevOps: Is there a free tier for Azure DevOps?

Yes, Azure DevOps includes 5 free users on the Basic plan. Additional free allocations include 1,800 free minutes per month on Azure Pipelines with a free parallel job, 2 GiB free storage on Azure Artifacts, and free access for Visual Studio subscribers and Stakeholders with limited functionality.

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.

Azure DevOps: What does the Basic + Test Plans tier add to Azure DevOps?

The Basic + Test Plans tier adds test planning and execution capabilities, browser-based testing, and centralized reporting features. This tier costs $52 per user per month compared to $6 per user for the Basic plan.

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.

Azure DevOps: How is Azure Artifacts priced?

Azure Artifacts provides 2 GiB of free storage, then charges $2 per GiB for 2-10 GiB, $1 per GiB for 10-100 GiB, $0.50 per GiB for 100-1,000 GiB, and $0.25 per GiB for over 1,000 GiB.

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.

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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