Confidence by Spotify vs Experimently
Confidence by Spotify
confidence.spotify.comExperimently
getexperimently.comSide by side
| Figure | Confidence by Spotify | Experimently |
|---|---|---|
| Price from | $449/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| iOS | Yes | Yes |
| Android | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 6 | 2 |
| Spec score · A/B Testing Tools | 8.5 (#12) | 8.7 (#9) |
| Product | Confidence is Spotify's warehouse-native experimentation and feature-management platform for running A/B tests, managing feature flags, defining warehouse-native metrics and making data-informed product decisions. | Experimently is an open-source experimentation platform for A/B testing and feature flags that runs on your own infrastructure. |
| Support | The Free plan includes email and in-product support, Growth includes priority support, and Enterprise includes direct Slack access to engineers and a dedicated Customer Success Engineer. | The maker lists [email protected] as its contact email. |
Plans
Confidence by Spotify
- FreeFree
- 150K credits top-up$129, paid once
- 500K credits top-up$299, paid once
- Growth$449 a month
- 1M credits top-up$549, paid once
- EnterprisePriced on request
In their own words
Confidence by Spotify
Confidence by Spotify is a warehouse-native platform for experimentation and feature management. Teams can run A/B tests, define metrics in their warehouse, manage feature flags, and use product data to guide decisions. Experimentation tools include sequential testing, automatic guardrails, and CUPED variance reduction. Rollouts can ramp releases from 1% to 100% while guardrails monitor for regressions, with one-click reverting. Feature flags include typed schemas, warehouse-powered targeting, and cleanup support; the Free plan includes unlimited flags and seats. Analytics accepts plain-English questions and returns charts and causes grounded in experiments, metrics, and warehouse data. Every account receives a managed warehouse, while paid plans can connect BigQuery, Snowflake, Redshift, and Databricks, with analysis in inspectable SQL. Session Replay overlays real user sessions with flags and experiment variants. The service is built on the OpenFeature API and offers migration kits to rewrite competitor SDK code to that standard. Pricing includes a Free plan with 75,000 credits per month and Growth at $449 a month. A 30-day trial is listed.
Experimently
Experimently is an open-source experimentation platform for A/B testing and feature flags that runs on infrastructure you manage. Its Free Preview costs nothing when self-hosted on your AWS account, with all features included; there is no hosted tier. The platform supports A/B and multivariate tests, sequential testing, CUPED, multi-armed bandits, Bayesian testing, split URL testing and LLM/model evaluation. Rollout controls include sticky assignment, staged rollouts, mutual-exclusion groups, a global holdout and automatic rollback based on error-rate and latency thresholds. Targeting offers more than 20 operators, while analysis includes frequentist and Bayesian methods, sequential mSPRT and segment breakdowns with Bonferroni correction. SDKs are listed for many programming languages and mobile platforms, but the maker says they are not yet on package registries; installation directions are in each guide. Deployment options include Docker Compose, Kubernetes through Helm, or an AWS CDK app for services in your AWS account. Assignment data stays on your infrastructure. Integrations include data platforms, business tools and email. The platform lists security and compliance features including role-based access control, SSO and audit logging.