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Developer Tools · head to head

Avo vs Dgraph

Avo logo

Avo

Developer Tools

Analytics governance: define a tracking plan, generate typed code from it, and catch drift before release

From
Free
Free plan
Yes
Visit AvoFull 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 $250/mo and $39/mo.
  • Only Avo lists tracking plan; only Dgraph lists apache 2.0 licence.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Avo and Dgraph actually diverge.

Attributes where Avo and Dgraph differ
AttributeAvoDgraph
Pricing modelPer editor seat per monthFreemium
PlatformsWeb, iOS, Android, APILinux, macOS, Self-hosted, Web
CategoryDeveloper ToolsDatabases

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

Not yet recorded: founded for Avo.

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 Avo

  • Tracking plan
  • Code generation
  • Inspector
  • Branching and approvals
  • Schema sync
  • Stakeholder access
  • Audit trail
  • Data design standards

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.

Avo

  • A product team whose iOS and Android event names have drifted apart, making cross-platform funnels meaninglessnot Dgraph
  • An analytics lead who wants tracking changes to go through review rather than appearing in production unannouncednot Dgraph
  • A company migrating between analytics tools that needs a canonical event schema independent of any vendornot Dgraph
  • An engineering organisation that wants event tracking mistakes caught by the compiler rather than by an analyst three months laternot Dgraph

Dgraph

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

Where each one falls short

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

Avo

  • Editor seats are the metered unit and only five are included on the Team plan, so a company where many squads define their own events pays 50 dollars per additional editor and the real cost quickly exceeds the headline 250
  • Avo governs event definitions but does not fix historic data, so an organisation with years of inconsistent tracking still faces the backfill problem it cannot solve
  • Code generation requires engineering teams to adopt generated modules in their build, and in practice some platform teams resist, leaving parts of the estate ungoverned and the plan only partly enforced
  • Inspector event volume is capped by tier, at 100,000 on free and one million on enterprise, so a high-traffic consumer product samples rather than observes everything and drift can hide in the unobserved portion
  • It is an additional tool in an analytics stack that already costs money, and justifying it requires the organisation to accept that its existing data is unreliable, which is a political argument as much as a budgetary one

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

Avo

Free
  • FreeFree
    • 2 editor seats
    • Unlimited comment seats
    • 100,000 events observed in Inspector
  • Team$250/mo
    • 5 editor seats included
    • Additional editors at $50 per month annually
    • Approval workflows and branch audits
  • EnterpriseOn request
    • Custom seats and event volume
    • 1,000,000 events observed in Inspector
    • Enforceable approval and design standards

Dgraph

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

Which should you pick?

Choose Avo if

  • You need tracking plan.
  • You want to start without paying.
  • You work on Web, iOS, Android, API.
  • You also want code generation.
Avo 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 Avo or Dgraph better?
Neither clearly leads. Avo 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, Avo or Dgraph?
Avo starts at Free and Dgraph at Free.
Does Avo or Dgraph run on more platforms?
Avo runs on Web, iOS, Android, API. Dgraph runs on Linux, macOS, Self-hosted, Web.
Can I use Avo for free?
Both have a free tier, so you can try either at no cost before committing.
What is Avo best used for?
Avo is most often used for a product team whose ios and android event names have drifted apart, making cross-platform funnels meaningless, an analytics lead who wants tracking changes to go through review rather than appearing in production unannounced, a company migrating between analytics tools that needs a canonical event schema independent of any vendor, an engineering organisation that wants event tracking mistakes caught by the compiler rather than by an analyst three months later. Of those, a product team whose ios and android event names have drifted apart, making cross-platform funnels meaningless and an analytics lead who wants tracking changes to go through review rather than appearing in production unannounced are not what Dgraph is typically brought in for.
What can Avo do that Dgraph cannot?
Avo covers Tracking plan, Code generation, Inspector, Branching and approvals. Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding.

Answered from the vendors’ own pages

Avo: Is the free tier usable in production?

Yes. It includes two editors, code generation and 100,000 events observed in Inspector, which is enough for a small team.

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.

Avo: What exactly does code generation give me?

Type-safe tracking functions per platform, so a wrong event name or property type fails at compile time rather than in production data.

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.

Avo: Does Avo replace Amplitude or Mixpanel?

No. It governs the events those tools receive; you still need an analytics product.

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.

Avo: How much is the Team plan?

250 US dollars a month billed annually for five editors, or 300 billed monthly, with extra editors at 50 dollars.

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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