Databases · head to head
Dgraph vs Nile

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
- -

Nile
Databases
PostgreSQL database platform built for multi-tenant SaaS applications
- 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.; Nile limited to B2B SaaS use cases, not optimized for single-tenant applications
- They diverge on capability: Dgraph covers Apache 2.0 licence, Nile covers Multi-tenant virtualization.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Dgraph and Nile 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 Nile
- Multi-tenant virtualization
- Serverless compute
- Vector embeddings
- Tenant branching
- Schema migration
- Tenant dashboards
- Global deployment
- PostgreSQL compatible
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 Nile
- A knowledge graph that outgrew a single machine and needs storage distributed across nodes without a per-core licence negotiationnot Nile
- Recommendation or fraud-detection features that traverse several hops at request time, where a relational join chain has become the bottlenecknot Nile
- Teams that want a graph database they can read, fork and self-host under a permissive licence rather than a source-available onenot Nile
Nile
- Multi-tenant SaaS applications with per-customer isolationnot Dgraph
- Serverless workloads needing cost-efficient auto-scalingnot Dgraph
- RAG applications leveraging vector embeddingsnot Dgraph
- Applications requiring per-tenant analytics dashboardsnot Dgraph
- Cross-customer analytics using shared data tablesnot 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.
Nile
- Limited to B2B SaaS use cases, not optimized for single-tenant applications
- Query token abstraction makes pricing less transparent than traditional compute pricing
- Free plan limited to 50M query tokens and 1GB storage for development
- Serverless startup latency may impact performance-sensitive applications
- Per-million token overages require careful monitoring to avoid surprise costs
Pricing, plan by plan
Dgraph
Free- CommunityFree
- Native GraphQL
- Graph queries
- Full-text search
- Cloud$39/month
- Managed service
- Auto-scaling
- Enterprise support
Nile
Free- FreeFree
- 50M query tokens included
- 1 GB storage
- 500 connections
- Pro$15/month
- 150M query tokens included
- 5 GB storage
- 10,000 connections
- Scale$350/month
- 500M query tokens included
- 50 GB storage
- 100,000 connections
- Enterprise$undefined/custom
- Custom resource allocation
- Large-scale workloads supporting millions of tenants
- Designated support
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 Nile if
- You need multi-tenant virtualization.
- You want to start without paying.
- You work on Web, API.
- You also want serverless compute.
Questions people ask
- Is Dgraph or Nile better?
- Neither clearly leads. Dgraph starts at Free and Nile at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dgraph or Nile?
- Dgraph starts at Free and Nile at Free.
- Does Dgraph or Nile run on more platforms?
- Dgraph runs on Linux, Mac, Docker, Web. Nile runs on Web, API.
- 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 Nile is typically brought in for.
- What can Dgraph do that Nile cannot?
- Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding. Nile covers Multi-tenant virtualization, Serverless compute, Vector embeddings, Tenant branching.
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.
Nile: What are query tokens and how are they calculated?
Query tokens are abstract units of CPU and memory used when queries execute on Nile's serverless compute. The platform uses this abstraction to enable fair, predictable pay-per-use pricing.
SourceDgraph: 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.
Nile: Do all Nile plans include multi-tenant isolation?
Yes. All plans including the free tier include unlimited databases, tenants, and vector embeddings with built-in data isolation.
SourceDgraph: 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.
Nile: What is included in the Pro plan?
The Pro plan ($15/month) includes 150M query tokens, 5GB storage, 10,000 connections, and a 99.95% SLA. SAML and MFA authentication features are available on Pro and above.
SourceDgraph: 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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