Experimently vs Nativeblocks
Experimently
getexperimently.comNativeblocks
nativeblocks.ioSide by side
| Figure | Experimently | Nativeblocks |
|---|---|---|
| Price from | Free | $19/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| iOS | Yes | Yes |
| Android | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 5 |
| Spec score · A/B Testing Tools | 8.7 (#9) | 7.8 (#26) |
| Deployment options | Customers can run published containers with Docker Compose, deploy to Kubernetes with Helm, or use an AWS CDK deployment. | Nativeblocks offers managed cloud, and its Core API and Studio can be self-hosted with Docker; the Core API self-hosted option requires a license key. |
| Integrations | The documentation lists connections for Snowflake, BigQuery, Redshift, Databricks, ClickHouse, MySQL, Jira, Salesforce, GitHub, Slack, and email. | SDK event logs can be forwarded to Firebase, Amplitude, PostHog, or other analytics and crash-reporting services. |
| Support | The maker lists [email protected] as its contact email. | The support page says the team will respond to support requests within 24 hours. |
| What it does | Experimently is an open-source experimentation and feature-flag platform deployed on infrastructure controlled by the customer. | Nativeblocks is a server-driven UI platform that lets teams update native mobile app screens without shipping a new app release. |
Plans
Nativeblocks
- FreeFree
- Starter$19 a month
- Growth$99 a month
- Scale$399 a month
- CustomPriced on request
In their own words
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.
Nativeblocks
Nativeblocks has no write-up on Specifiction yet; its figures are above.