ABsmartly vs. GitLab
ABsmartly vs. GitLab
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
ABsmartly | N/A | ABsmartly is an A/B testing and experimentation tool for use across web, email, and apps, both server-side and client-side. The ABSmartly platform is designed for product teams and PLG-driven organisations who want to make data-driven decisions. The ABsmartly platform caters to various testing scenarios, including feature flags, split testing, multi-variant, multi-page, multi-platform, SEO tests, cross-device testing, among others. ABsmartly was founded by experimentation… | $60,000 per year (starting at 50 Million events per month) | |
GitLab | N/A | GitLab is an intelligent orchestration platform for DevSecOps, where software teams enable AI at every stage of the software lifecycle to ship faster. The platform enables teams to automate repetitive tasks across planning, building, securing, testing, deploying, and maintaining software. | $0 per month per user |
| ABsmartly | GitLab | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Editions & Modules | No answers on this topic |
| ||||||||||||||
| Offerings |
| |||||||||||||||
| Entry-level Setup Fee | No setup fee | Optional | ||||||||||||||
| Additional Details | ABsmartly has an events-based pricing model, clients have unlimited experiments, metrics and platform users, and they pay per event. ABsmartly has no pricing tiers or packages, so all customers get all features, including the advanced Group Sequential Testing engine, real time data processing, and collaborative tools. ABsmartly handles the infrastructure costs and provides the platform, however if clients wish, they can handle the infrastructure on their side. ABsmartly's event-based plans start at €60,000/year for 50 Million events per month. ABsmartly includes onboarding, standard training and support at no extra cost. ABsmartly has 2 categories of billable events: Exposure events An exposure event happens every time a call is made to check which variant (of an experiment or a feature flag) to show a visitor. The number of exposure is dependent on the number of unique visitors, the number of experiments and the number of exposure per experiment. Exposure Events = {# unique visitors} x {# experiments} x {# experiment exposures} Goal events A goal event happens every time a goal is triggered by a visitor of an application. A goal is what is used to create an experimentation metrics and they usually represent an action taken by visitors, a click on a button, a conversion, a cancellation, etc. The number of goals events is dependent on the number of unique visitors, the number of goals and the number of goals exposures. Goal Events: = {# unique visitors} x {# goals} x {# goal triggers} | GitLab Credits enable flexible, consumption-based access to agentic AI capabilities in the GitLab platform, allowing you to scale AI adoption at your own pace while maintaining cost predictability. Powered by Duo Agent Platform, GitLab’s agentic AI capabilities help software teams to collaborate at AI speed, without compromising quality and enterprise security. If usage exceeds monthly allocations and overage terms are accepted, automated on-demand billing activates without service interruption, so your developers never lose access to AI capabilities they need. Real-time dashboards provide transparency into AI consumption patterns. Software teams can see usage across users, projects, and groups with granular attribution for cost allocation. Automated threshold alerts facilitate proactive planning. Advanced analytics deliver trending, forecasting, and FinOps integration. | ||||||||||||||
| More Pricing Information | ||||||||||||||||
| ABsmartly | GitLab |
|---|
| ABsmartly | GitLab | |
|---|---|---|
| Small Businesses | Convert Experiences Score 9.9 out of 10 | GitGuardian Score 9.0 out of 10 |
| Medium-sized Companies | Dynamic Yield Score 9.0 out of 10 | Palo Alto Networks Prisma Cloud Score 8.8 out of 10 |
| Enterprises | Dynamic Yield Score 9.0 out of 10 | Checkmarx Score 7.6 out of 10 |
| All Alternatives | View all alternatives | View all alternatives |
| ABsmartly | GitLab | |
|---|---|---|
| Likelihood to Recommend | - (0 ratings) | 8.6 (168 ratings) |
| Likelihood to Renew | - (0 ratings) | 9.0 (6 ratings) |
| Usability | - (0 ratings) | 8.8 (20 ratings) |
| Performance | - (0 ratings) | 9.0 (1 ratings) |
| Support Rating | - (0 ratings) | 10.0 (12 ratings) |
| Product Scalability | - (0 ratings) | 10.0 (1 ratings) |
| ABsmartly | GitLab | |
|---|---|---|
| Likelihood to Recommend | ABsmartly No answers on this topic | GitLab
|
| Pros | ABsmartly No answers on this topic | GitLab
|
| Cons | ABsmartly No answers on this topic | GitLab
|
| Likelihood to Renew | ABsmartly No answers on this topic | GitLab
|
| Usability | ABsmartly No answers on this topic | GitLab
|
| Reliability and Availability | ABsmartly No answers on this topic | GitLab
|
| Performance | ABsmartly No answers on this topic | GitLab
|
| Support Rating | ABsmartly No answers on this topic | GitLab
|
| Alternatives Considered | ABsmartly No answers on this topic | GitLab
|
| Scalability | ABsmartly No answers on this topic | GitLab
|
| Return on Investment | ABsmartly No answers on this topic | GitLab
|
| ScreenShots | ABsmartly Screenshots | GitLab Screenshots |










