Softwr

Databases · head to head

Dgraph vs Marqo

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
Rated
-
Full reviewWebsite
Marqo logo

Marqo

Databases

AI-native product discovery platform for ecommerce

From
On request
Rated
-
Full reviewWebsite

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.; Marqo pricing not publicly available, enterprise sales-only model
  • They diverge on capability: Dgraph covers Apache 2.0 licence, Marqo covers Semantic search.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dgraph and Marqo actually diverge.

Attributes where Dgraph and Marqo differ
AttributeDgraphMarqo
Starting priceFreeOn request
Pricing modelfreemiumcontact-sales
Free tierYesNo
PlatformsLinux, Mac, Docker, WebWeb API, SaaS
Founded20162022

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 Marqo

  • Semantic search
  • Multimodal image search
  • AI model training
  • Automated merchandising
  • Multi-surface integration
  • Commerce platform integrations
  • API access

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 Marqo
  • A knowledge graph that outgrew a single machine and needs storage distributed across nodes without a per-core licence negotiationnot Marqo
  • Recommendation or fraud-detection features that traverse several hops at request time, where a relational join chain has become the bottlenecknot Marqo
  • Teams that want a graph database they can read, fork and self-host under a permissive licence rather than a source-available onenot Marqo

Marqo

  • Improve search revenue for fashion and beauty retailersnot Dgraph
  • Implement multimodal image and product searchnot Dgraph
  • Increase checkout conversion through better product discoverynot Dgraph
  • Create personalized product recommendationsnot Dgraph
  • Reduce customer support inquiries with relevant search resultsnot 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.

Marqo

  • Pricing not publicly available, enterprise sales-only model
  • Requires custom implementation and integration work
  • Limited to ecommerce use cases compared to general search
  • Model training requires sufficient customer behavior data

Pricing, plan by plan

Dgraph

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

Marqo

On request

No published plan breakdown. See the Marqo review.

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.
Dgraph review

Choose Marqo if

  • You need semantic search.
  • You work on Web API, SaaS.
  • You also want multimodal image search.
Marqo review

Questions people ask

Is Dgraph or Marqo better?
Neither clearly leads. Dgraph starts at Free and Marqo at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dgraph or Marqo?
Dgraph has a free tier; the other does not. Paid plans start at Free for Dgraph and On request for Marqo.
Does Dgraph or Marqo run on more platforms?
Dgraph runs on Linux, Mac, Docker, Web. Marqo runs on Web API, SaaS.
Can I use Dgraph for free?
Yes. Dgraph has a free tier, so you can try it without paying. Marqo 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 Marqo is typically brought in for.
What can Dgraph do that Marqo cannot?
Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding. Marqo covers Semantic search, Multimodal image search, AI model training, Automated merchandising.

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.

Marqo: How do Marqo models get trained?

Marqo trains dedicated AI models on each retailer's product catalog and customer behavior data including clicks, purchases, and browsing patterns. This ensures models are optimized for the specific retailer's products and customers.

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.

Marqo: What results can retailers expect from Marqo?

Enterprise retailers using Marqo report 10-23% increases in search revenue and conversion rates, with proven results across fashion, beauty, electronics, and home goods.

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.

Marqo: Which ecommerce platforms does Marqo integrate with?

Marqo has native integrations with Shopify, Adobe Commerce (Magento), and Salesforce Commerce Cloud, and also provides API access for custom implementations.

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.

Marqo: How is Marqo priced?

Marqo pricing is customized based on catalog size, search volume, and feature requirements. Contact their sales team to book a demo and discuss pricing.

Source
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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