Feature Flags / Remote Config

Convert vs Togglz

Togglz is free and open source while Convert runs on paid subscription pricing. Convert: A/B testing and personalization platform with no-cookie tracking and privacy-first architecture. Togglz: Open-source Java feature toggle library implementing the Feature Toggles pattern, using Java enums for type-safe flag definitions. Apache 2.0 licensed. Convert fits gradual rollouts to reduce risk. Togglz fits JVM monoliths wanting simple, type-safe in-process flags. On our rubric Convert scores 3/5 for developer experience and 4/5 for transparency, while Togglz scores 4/5 and 5/5. The honest trade-off: Convert's main drawback β€” Solo developer shipping to production; Togglz's β€” Java/JVM-only ecosystem. For Togglz: Type-safe Java enums for flag definitions. Convert is explicitly not the right pick for solo projects. Togglz is not aimed at polyglot systems or experimentation-heavy product teams. Another Convert advantage: Kill switches for features. Another Togglz advantage: Long-standing Apache 2.0 Java toggle library. Another Convert friction point: Products with no users yet. Another Togglz friction point: Less innovation recently vs new entrants.

Quick take

Convert is for gradual rollouts to reduce risk; Togglz is for JVM monoliths wanting simple, type-safe in-process flags; decide on pricing model.

Feature comparison

Convert Convert Togglz Togglz
Category Feature Flags / Remote Config Feature Flags / Remote Config
Pricing Model subscription free
Entry Price $599/mo β€”
Free Tier No Yes
Billing Complexity β€” β€”
Developer Experience 3/5 4/5
Pricing Transparency 4/5 5/5
Lock-in Level medium low
Migration Complexity β€” β€”
Data Portability β€” β€”
Enterprise Available β€”
GitHub Stars 16.5k 1.0k
License AGPL-3.0 Apache-2.0

When to choose which

Choose Convert when…

Choose Convert if gradual rollouts to reduce risk, and if you'd rather pay for a managed service than run infrastructure yourself.

  • Gradual rollouts to reduce risk
  • Kill switches for features
  • Gradual rollouts reduce deployment risk

Not for: Solo projects

Choose Togglz when…

Choose Togglz if JVM monoliths wanting simple, type-safe in-process flags, and if you want to avoid recurring license costs and are willing to self-host.

  • Type-safe Java enums for flag definitions
  • Long-standing Apache 2.0 Java toggle library
  • Admin console and many storage backends
  • Predictable, boring, dependable

Not for: Polyglot systems or experimentation-heavy product teams

Common use cases

Convert

  • Gradual rollouts to reduce risk
  • Kill switches for features
  • Remote config without releases

Togglz

  • Type-safe Java feature toggles using enum definitions
  • Multiple activation strategies including gradual rollout
  • Database-backed flag persistence with Spring Boot auto-config
  • Web console for runtime flag management in Java apps

Ready to explore?

Check each tool's dedicated page for deeper reviews, setup notes, and pros/cons.

Frequently asked questions

Is Convert cheaper than Togglz?

No: Togglz is free and open source, while Convert runs on paid subscription pricing. Convert may still be cheaper in total cost once you factor in hosting, maintenance, and engineering time to run Togglz yourself.

Can I migrate from Convert to Togglz?

Moving to Togglz is reasonable on its side β€” it's low lock-in (Open source Java library). The friction is on the way out of Convert, which is medium lock-in (A/B test data exportable). Budget time for data export and integration rework.

Which has better developer experience, Convert or Togglz?

Togglz scores higher in our rubric (4/5 vs 3/5 for Convert). Transparency is 5/5 for Togglz and 4/5 for Convert. DX scores are rubric-based, not benchmarks, so evaluate against your own toolchain.

Is Togglz a good alternative to Convert?

They sit in the same category, so yes β€” Togglz is a plausible alternative for many Convert use cases. It fits best when JVM monoliths wanting simple, type-safe in-process flags. Skip it if polyglot systems or experimentation-heavy product teams.

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