Developer Tools · head to head
ConfigCat vs Cube

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

Cube
Business Intelligence
AI-native analytics platform with semantic layer and governed access
- From
- Free
- Free plan
- Yes
The short version
- Free plans on both; paid from $110/mo and $40/mo.
- Only ConfigCat lists feature flags and configuration; only Cube lists analytics Chat.
- Where Cube falls short: per-developer licensing can be expensive for large analytics teams.
- Prices and features on this page were last checked on 31 August 2026.
Where they differ
Only the attributes on which ConfigCat and Cube actually diverge.
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 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 Cube
- Analytics Chat
- Workbooks
- Dashboards
- Embedded Analytics
- AI Integrations
- Core Data APIs
- Caching and pre-aggregations
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 Cube
- A team that wants every engineer, product manager and support agent to have a login without paying per seatnot Cube
- Decoupling deployment from release with percentage rollouts and a kill switch, without buying an experimentation platformnot Cube
- A small team that needs ten flags permanently and can run indefinitely on the free tiernot Cube
Cube
- Building governed semantic data models for analyticsnot ConfigCat
- Embedding analytics into customer-facing productsnot ConfigCat
- Enabling natural language data queries for teamsnot ConfigCat
- Creating conversational dashboards with AI assistancenot 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
Cube
- Per-developer licensing can be expensive for large analytics teams
- Additional cost for Explorer and Viewer roles beyond developers
- Semantic layer approach requires upfront modeling investment
- Smaller connector ecosystem than dedicated BI platforms
- May be overengineered for simple reporting needs
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
Cube
Free- FreeFree
- For hobbyists and personal projects
- Basic data source connection
- Semantic modeling
- Starter$40
- Extended agent limits
- Premium LLMs
- Unlimited workbooks
- Premium$80
- All Starter features
- Embedded dashboards
- Embedded analytics chat
- EnterpriseOn request
- 99.990% uptime SLA
- Dedicated single-tenant installation
- Bring Your Own Cloud
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 Cube if
- You need analytics chat.
- You want to start without paying.
- You work on Web, Self-hosted.
- You also want workbooks.
Questions people ask
- Is ConfigCat or Cube better?
- Neither clearly leads. ConfigCat starts at Free and Cube at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ConfigCat or Cube?
- ConfigCat starts at Free and Cube at Free.
- Does ConfigCat or Cube run on more platforms?
- ConfigCat runs on Web, API, iOS, Android, Windows. Cube runs on Web, Self-hosted.
- 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 Cube is typically brought in for.
- What can ConfigCat do that Cube cannot?
- ConfigCat covers Feature flags and configuration, Percentage rollouts, Targeting rules and segments, Unlimited seats. Cube covers Analytics Chat, Workbooks, Dashboards, Embedded Analytics.
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.
Cube: What is the cost per developer on Cube?
Starter plan costs $40/developer/month. Premium adds embedded analytics at $80/developer/month. Explorer and Viewer roles cost $40 and $20/month respectively.
SourceConfigCat: 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.
Cube: What uptime SLAs does Cube offer?
Premium plan offers 99.950% uptime SLA. Enterprise plan provides 99.990% uptime SLA with dedicated support.
SourceConfigCat: 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.
Cube: Can I use Cube for free?
Yes, the Free plan includes basic data source connection, semantic modeling, workbooks, and dashboards for hobbyists and personal projects.
SourceConfigCat: How fast does a flag change take effect?
SDKs poll and cache, so changes propagate on the polling interval rather than instantly.
Related pages
Other head to heads
- ConfigCat vs LaunchDarkly
- ConfigCat vs Nix
- ConfigCat vs Depot
- ConfigCat vs Blacksmith
- ConfigCat vs WarpBuild
- ConfigCat vs Namespace
- ConfigCat vs OpsLevel
- ConfigCat vs Docker
- ConfigCat vs Kubernetes
- ConfigCat vs Terraform
- ConfigCat vs GitLab
- ConfigCat vs Earthly
- ConfigCat vs Prettier
- ConfigCat vs Rust
- ConfigCat vs StackBlitz
- ConfigCat vs Steampipe
- ConfigCat vs Vim
- ConfigCat vs Tilt
- ConfigCat vs Evidence
- ConfigCat vs Zenlytic
- ConfigCat vs Sisense
- ConfigCat vs GoodData
- ConfigCat vs Logi Analytics
- ConfigCat vs Yellowfin
- ConfigCat vs Dundas BI
- ConfigCat vs Fabi
- ConfigCat vs ThoughtSpot
- ConfigCat vs Jedox
- ConfigCat vs Pigment
- ConfigCat vs Luzmo
- ConfigCat vs IBM Cognos Analytics
- ConfigCat vs Cyfe
- ConfigCat vs DashThis
- ConfigCat vs Deepnote
- ConfigCat vs Geckoboard
- ConfigCat vs Google Data Studio
- Cube vs LaunchDarkly
- Cube vs Nix
- Cube vs Depot
- Cube vs Blacksmith
- Cube vs WarpBuild
- Cube vs Namespace
- Cube vs OpsLevel
- Cube vs Docker
- Cube vs Kubernetes
- Cube vs Terraform
- Cube vs GitLab
- Cube vs Earthly
- Cube vs Prettier
- Cube vs Rust
- Cube vs StackBlitz
- Cube vs Steampipe
- Cube vs Vim
- Cube vs Tilt
- Cube vs Evidence
- Cube vs Zenlytic
- Cube vs Sisense
- Cube vs GoodData
- Cube vs Logi Analytics
- Cube vs Yellowfin
- Cube vs Dundas BI
- Cube vs Fabi
- Cube vs ThoughtSpot
- Cube vs Jedox
- Cube vs Pigment
- Cube vs Luzmo
- Cube vs IBM Cognos Analytics
- Cube vs Cyfe
- Cube vs DashThis
- Cube vs Deepnote
- Cube vs Geckoboard
- Cube vs Google Data Studio
