Databases · head to head
Dgraph vs Dremio

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
- -

Dremio
Databases
SQL query engine and lakehouse layer over Iceberg tables in object storage
- From
- Free
- Rated
- -
The short version
- 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.; Dremio reflections consume compute and storage to build and refresh continuously, so a team that enables them widely discovers that background maintenance rather than user queries drives the DCU bill.
- They diverge on capability: Dgraph covers Apache 2.0 licence, Dremio covers Arrow-based execution.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Dgraph and Dremio actually diverge.
Identical on both: starting price (Free), free tier (Yes), 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 Dremio
- Arrow-based execution
- Reflections
- Semantic layer
- Iceberg catalogue
- Federated queries
- Autonomous management
- Fine-grained access control
- BI connectors
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 Dremio
- A knowledge graph that outgrew a single machine and needs storage distributed across nodes without a per-core licence negotiationnot Dremio
- Recommendation or fraud-detection features that traverse several hops at request time, where a relational join chain has become the bottlenecknot Dremio
- Teams that want a graph database they can read, fork and self-host under a permissive licence rather than a source-available onenot Dremio
Dremio
- A company with petabytes of Parquet in S3 that wants BI dashboards without duplicating it into a warehousenot Dgraph
- A data platform team standardising on Apache Iceberg and needing a SQL engine plus catalogue that does not lock the tables innot Dgraph
- An analytics group accelerating slow lake queries with Reflections instead of hand-built aggregate tablesnot Dgraph
- A regulated enterprise that must keep data on premises but wants a modern lakehouse SQL layernot 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.
Dremio
- Reflections consume compute and storage to build and refresh continuously, so a team that enables them widely discovers that background maintenance rather than user queries drives the DCU bill.
- Self-managing Dremio on Kubernetes requires real platform engineering capacity for tuning executors, memory and coordinator sizing, and it is not comparable in effort to running a managed warehouse.
- The Community Edition lacks the security and governance features most enterprises require, so the free tier is a trial path rather than a viable production option for regulated buyers.
- Dremio Cloud is AWS-first, which leaves Azure and Google Cloud customers on the self-managed path with the operational burden that entails.
- Query performance without Reflections on raw, poorly laid out files is often unremarkable, so the promise of querying the lake as is depends on file layout work you still have to do.
Pricing, plan by plan
Dgraph
Free- CommunityFree
- Native GraphQL
- Graph queries
- Full-text search
- Cloud$39/month
- Managed service
- Auto-scaling
- Enterprise support
Dremio
Free- Community EditionFree
- Self-managed on your own hardware
- SQL engine and semantic layer
- No vendor support
- Dremio Cloud$0.2/hour
- Billed at $0.20 per Dremio Compute Unit
- Includes query execution, Reflections and background processing
- 400 dollar trial credit for 30 days
- Enterprise$undefined/year
- Self-managed on Kubernetes, on premises or any cloud
- Enterprise security, SSO and governance
- Vendor support with SLA
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 Dremio if
- You need arrow-based execution.
- You want to start without paying.
- You work on Linux, Kubernetes, Cloud, Docker.
- You also want reflections.
Questions people ask
- Is Dgraph or Dremio better?
- Neither clearly leads. Dgraph starts at Free and Dremio at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dgraph or Dremio?
- Dgraph starts at Free and Dremio at Free.
- Does Dgraph or Dremio run on more platforms?
- Dgraph runs on Linux, Mac, Docker, Web. Dremio runs on Linux, Kubernetes, Cloud, Docker.
- 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 Dremio is typically brought in for.
- What can Dgraph do that Dremio cannot?
- Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding. Dremio covers Arrow-based execution, Reflections, Semantic layer, Iceberg catalogue.
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.
Dremio: How is Dremio Cloud billed?
At 0.20 US dollars per Dremio Compute Unit, which counts query execution, Reflection building and platform overhead, not just user queries.
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.
Dremio: Is there a free version?
Yes, a Community Edition you self-manage, but it omits the enterprise security and governance features and comes with no support.
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.
Dremio: Does it lock in my data?
No, tables stay in Apache Iceberg or Parquet in your own object storage and can be read by Spark, Trino or other engines.
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.
Dremio: Do I still need a warehouse?
Often not for analytics, but Dremio is not a transactional store and high-concurrency operational serving is not its strength.
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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