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Databases · head to head

Dgraph vs PyCharm

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
PyCharm logo

PyCharm

Developer Tools

The IDE for Professional Python Development

From
Free
Free plan
Yes
Visit PyCharmFull review

The short version

  • PyCharm is a dedicated Python Integrated Development Environment.
  • Free plans on both; paid from $39/mo and $24.9/mo.
  • Only Dgraph lists apache 2.0 licence; only PyCharm lists intelligent code editor.
  • Where PyCharm falls short: exact pricing for Pro edition not available on homepage.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Dgraph and PyCharm actually diverge.

Attributes where Dgraph and PyCharm differ
AttributeDgraphPyCharm
Pricing modelFreemiumSubscription
PlatformsLinux, macOS, Self-hosted, WebWindows, macOS, Linux
CategoryDatabasesDeveloper Tools
Founded20162010

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

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 PyCharm

  • Intelligent code editor
  • Smart code navigation
  • Fast and safe refactorings
  • Debugging and testing
  • VCS integration
  • Scientific development tools
  • Web development support
  • Database tools

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

PyCharm

  • Python developmentnot Dgraph
  • Data science projectsnot Dgraph
  • Web developmentnot Dgraph
  • Machine learningnot Dgraph
  • Scientific computingnot 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

PyCharm

  • Exact pricing for Pro edition not available on homepage
  • Community edition free but limited to open-source projects only
  • Professional edition pricing requires visiting buy page

Pricing, plan by plan

Dgraph

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

PyCharm

Free
  • CommunityFree
    • Intelligent Python editor
    • Graphical debugger and test runner
    • Navigation and refactoring
  • Professional$24.9/mo
    • Everything in Community
    • Web development frameworks
    • Database tools

Which should you pick?

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

Choose PyCharm if

  • You need intelligent code editor.
  • You want to start without paying.
  • You work on Windows, macOS, Linux.
  • You also want smart code navigation.
PyCharm review

Questions people ask

Is Dgraph or PyCharm better?
Neither clearly leads. Dgraph starts at Free and PyCharm at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dgraph or PyCharm?
Dgraph starts at Free and PyCharm at Free.
Does Dgraph or PyCharm run on more platforms?
Dgraph runs on Linux, macOS, Self-hosted, Web. PyCharm runs on Windows, macOS, Linux.
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 PyCharm is typically brought in for.
What can Dgraph do that PyCharm cannot?
Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding. PyCharm covers Intelligent code editor, Smart code navigation, Fast and safe refactorings, Debugging and testing.

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.

PyCharm: How much does PyCharm cost?

PyCharm offers a free Community edition plus a Professional edition with a one-month free trial of Pro features included. Exact Pro pricing is available on JetBrains' buy page.

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.

PyCharm: Is there a free version of PyCharm?

Yes, PyCharm Community Edition is completely free. All new downloads also include one month of PyCharm Professional included free.

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.

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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