Databases · head to head
Dgraph vs Privacera
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
- -
Privacera
Databases
Centralised data access governance from the creators of Apache Ranger, now rebranding as Trust3 AI
- From
- On request
- Rated
- -
The short version
- Only Dgraph has a free tier, so it costs nothing to try first.
- 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.; Privacera the company is mid-rebrand to Trust3 AI as of March 2026, so documentation, contracts and support channels are in transition and buyers should confirm which entity and which product name their agreement actually names.
- They diverge on capability: Dgraph covers Apache 2.0 licence, Privacera covers Centralised policy authoring.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Dgraph and Privacera actually diverge.
Identical on both: user rating (Not yet rated), category (Databases).
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 Privacera
- Centralised policy authoring
- Native enforcement
- Attribute-based access control
- Dynamic masking and row filtering
- Sensitive data discovery
- Encryption and de-identification
- Audit reporting
- AI governance agent
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 Privacera
- A knowledge graph that outgrew a single machine and needs storage distributed across nodes without a per-core licence negotiationnot Privacera
- Recommendation or fraud-detection features that traverse several hops at request time, where a relational join chain has become the bottlenecknot Privacera
- Teams that want a graph database they can read, fork and self-host under a permissive licence rather than a source-available onenot Privacera
Privacera
- An enterprise running both Databricks and Snowflake that needs one masking policy honoured identically in both rather than two sets of grants to reconcilenot Dgraph
- A bank that must produce a single access audit across its analytics estate for a regulator without stitching together per-engine logsnot Dgraph
- A Hadoop shop with years of Apache Ranger policies migrating to cloud analytics and wanting to carry the policy model across rather than rewrite itnot Dgraph
- A team exposing governed data to LLM applications that needs the same row and column restrictions to apply when an agent queries on a user behalfnot 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.
Privacera
- The company is mid-rebrand to Trust3 AI as of March 2026, so documentation, contracts and support channels are in transition and buyers should confirm which entity and which product name their agreement actually names.
- Investment is visibly shifting towards agentic AI governance, which raises a fair question about how much engineering continues to go into the classic data access governance modules that most existing customers actually bought.
- Native enforcement depends on each engine supporting the policy constructs you need, so what you can express on Databricks may not be enforceable identically on a less capable source, and coverage must be verified source by source.
- It sits between the data platforms and their own governance features, and as Databricks Unity Catalog and Snowflake native governance mature, single-platform customers find the case for a separate layer weakening.
- Pricing is unpublished and scales with connected sources, so an organisation that keeps adding data platforms discovers the governance layer cost grows alongside the platform costs it was meant to rationalise.
Pricing, plan by plan
Dgraph
Free- CommunityFree
- Native GraphQL
- Graph queries
- Full-text search
- Cloud$39/month
- Managed service
- Auto-scaling
- Enterprise support
Privacera
On request- Privacera Platform$undefined/year
- Quoted by connected data sources, users and deployment model
- Self-managed and Privacera Cloud SaaS options
- Free trial available for Privacera Cloud and Trust3 AI
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.
Choose Privacera if
- You need centralised policy authoring.
- You work on Web, Linux.
- You also want native enforcement.
Questions people ask
- Is Dgraph or Privacera better?
- Neither clearly leads. Dgraph starts at Free and Privacera at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dgraph or Privacera?
- Dgraph has a free tier; the other does not. Paid plans start at Free for Dgraph and On request for Privacera.
- Does Dgraph or Privacera run on more platforms?
- Dgraph runs on Linux, Mac, Docker, Web. Privacera runs on Web, Linux.
- Can I use Dgraph for free?
- Yes. Dgraph has a free tier, so you can try it without paying. Privacera starts at On request.
- 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 Privacera is typically brought in for.
- What can Dgraph do that Privacera cannot?
- Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding. Privacera covers Centralised policy authoring, Native enforcement, Attribute-based access control, Dynamic masking and row filtering.
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.
Privacera: Did Privacera merge with Immuta?
No. They remain independent competitors, and Privacera still publishes comparison material against Immuta. What did happen is a rebrand to Trust3 AI announced in March 2026.
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.
Privacera: Is it the same as Apache Ranger?
It is built on Ranger by Ranger creators, but it adds multi-engine enforcement, discovery, a managed cloud option and support. Ranger alone does not cover Snowflake or cloud storage in the same way.
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.
Privacera: Does it slow down queries?
It pushes policy into the underlying engine rather than proxying, so query execution stays native. Policy synchronisation, not query latency, is the usual operational concern.
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.
Privacera: What does it cost?
Not published. Quoted by connected sources, user count and whether you self-manage or use Privacera Cloud. A free trial of the cloud product is available.
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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