Developer Tools · head to head
ConfigCat vs Dgraph

ConfigCat
Developer Tools
Feature flag service priced per flag and environment with unlimited seats and unlimited monthly active users
- From
- Free
- Free plan
- Yes

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
The short version
- Free plans on both; paid from $110/mo and $39/mo.
- Only ConfigCat lists feature flags and configuration; only Dgraph lists apache 2.0 licence.
- Prices and features on this page were last checked on 13 November 2026.
Where they differ
Only the attributes on which ConfigCat and Dgraph actually diverge.
Identical on both: starting price (Free), free tier (Yes).
Not yet recorded: founded for ConfigCat.
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 ConfigCat
- Feature flags and configuration
- Percentage rollouts
- Targeting rules and segments
- Unlimited seats
- Global CDN delivery
- Audit log
- Public API and webhooks
- SDKs across languages
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
What people use each for
The jobs each tool is most often brought in to do.
ConfigCat
- A consumer or mobile app with millions of users where per-MAU flag pricing would cost more than the flags are worthnot Dgraph
- A team that wants every engineer, product manager and support agent to have a login without paying per seatnot Dgraph
- Decoupling deployment from release with percentage rollouts and a kill switch, without buying an experimentation platformnot Dgraph
- A small team that needs ten flags permanently and can run indefinitely on the free tiernot Dgraph
Dgraph
- An application whose core data is a graph, such as permissions, social connections or product relationships, where the frontend already consumes GraphQLnot ConfigCat
- A knowledge graph that outgrew a single machine and needs storage distributed across nodes without a per-core licence negotiationnot ConfigCat
- Recommendation or fraud-detection features that traverse several hops at request time, where a relational join chain has become the bottlenecknot ConfigCat
- Teams that want a graph database they can read, fork and self-host under a permissive licence rather than a source-available onenot ConfigCat
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ConfigCat
- There is no experimentation or statistical analysis engine, so teams wanting real A/B tests with significance testing must buy and integrate a separate analytics or experimentation product
- Pricing by flag count punishes exactly the hygiene you want: the Pro tier caps at 100 flags, so teams that do not aggressively retire stale flags are pushed to the 325 dollar Smart tier for housekeeping reasons rather than growth
- The free tier allows only 2 environments, which does not cover the common development, staging and production split, so almost any real deployment starts on a paid plan
- It is a smaller vendor than the category incumbents, so enterprise procurement teams will find less depth in compliance attestations, contractual terms and reference architecture than LaunchDarkly offers
- Flag evaluation relies on SDK-side caching of a CDN-delivered config, which is fast but means propagation of a change is eventually consistent rather than instant, something to understand before relying on it as an emergency kill switch
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
Pricing, plan by plan
ConfigCat
Free- Forever FreeFree
- 10 feature flags
- 2 environments and 2 products
- 2 segments
- Pro$110/mo
- 100 feature flags
- 3 environments and 3 products
- Unlimited seats and MAUs
- Smart$325/mo
- Unlimited feature flags
- Unlimited environments, products and segments
- Unlimited seats and MAUs
- Enterprise$900/mo
- Everything in Smart
- Enterprise support and controls
- Unlimited everything on flag counts
Dgraph
Free- CommunityFree
- Native GraphQL
- Graph queries
- Full-text search
- Cloud$39/mo
- Managed service
- Auto-scaling
- Enterprise support
Which should you pick?
Choose ConfigCat if
- You need feature flags and configuration.
- You want to start without paying.
- You work on Web, API, iOS, Android, Windows.
- You also want percentage rollouts.
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.
Questions people ask
- Is ConfigCat or Dgraph better?
- Neither clearly leads. ConfigCat starts at Free and Dgraph at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ConfigCat or Dgraph?
- ConfigCat starts at Free and Dgraph at Free.
- Does ConfigCat or Dgraph run on more platforms?
- ConfigCat runs on Web, API, iOS, Android, Windows. Dgraph runs on Linux, macOS, Self-hosted, Web.
- Can I use ConfigCat for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is ConfigCat best used for?
- ConfigCat is most often used for a consumer or mobile app with millions of users where per-mau flag pricing would cost more than the flags are worth, a team that wants every engineer, product manager and support agent to have a login without paying per seat, decoupling deployment from release with percentage rollouts and a kill switch, without buying an experimentation platform, a small team that needs ten flags permanently and can run indefinitely on the free tier. Of those, a consumer or mobile app with millions of users where per-mau flag pricing would cost more than the flags are worth and a team that wants every engineer, product manager and support agent to have a login without paying per seat are not what Dgraph is typically brought in for.
- What can ConfigCat do that Dgraph cannot?
- ConfigCat covers Feature flags and configuration, Percentage rollouts, Targeting rules and segments, Unlimited seats. Dgraph covers Apache 2.0 licence, Generated GraphQL API, DQL query language, Predicate sharding.
Answered from the vendors’ own pages
ConfigCat: How is ConfigCat priced?
By feature flag, environment and product count. Seats, monthly active users and flag reads are unlimited on every plan.
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.
ConfigCat: Is the free tier usable?
For small projects yes, but at 10 flags and 2 environments it will not cover a dev, staging and production setup.
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.
ConfigCat: Can it run A/B tests?
It can split traffic, but there is no statistics engine. You need a separate analytics tool to decide a winner.
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.
ConfigCat: How fast does a flag change take effect?
SDKs poll and cache, so changes propagate on the polling interval rather than instantly.
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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- Dgraph vs ArangoDB
- Dgraph vs Elasticsearch
- Dgraph vs Couchbase
- Dgraph vs Cassandra
- Dgraph vs FaunaDB
- Dgraph vs Firebase Realtime Database
- Dgraph vs RavenDB
- Dgraph vs ScyllaDB
- Dgraph vs Cockroach Labs
- Dgraph vs DynamoDB
- Dgraph vs Qdrant
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- Dgraph vs TiDB
- Dgraph vs Tinybird
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