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About Split

Split is a feature management software from Split that connects critical impact data to determine the effects of software changes. It provides feature flags, experimentation, and progress tracking so teams can assess whether their updates improve or hinder performance. With its reliable analytics, users can confidently deploy changes while monitoring their impact in real-time. Split supports advanced experimentation tools to facilitate A/B testing and cohort analysis, allowing teams to make data-driven decisions. Key capabilities: feature flags experimentation impact analysis real-time alerts integration with development tools Best for: software development teams that need to understand the impact of their changes on user use and performance.

Split Details

Vendor
Split
Year Launched
2015
Location
2317 Broadway, Redwood City, CA 94063
Deployment
cloud
Training Options
documentation, videos, live online, in person
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Japanese, Chinese
Users
AB testing Analysts, Application Developers, Configuration Managers, Continuous Integration Engineers, DevOps Specialists, Payment Processing Administrators.
Industries Served
Financial Services, Healthcare, Media & Entertainment, Retail, Software, Travel & Transport
Tags
Application Development, Configuration Management Tools, Continuous Integration, DevOps, Payment Processing

Split's In-App Market Place

Does Split have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

Usd ($), Eur (€), Gbp (£), Aud ($), Cad ($), Jpy (¥), Chf (Fr), Cny (¥), Inr (₹), Rub (₽)

Pros & Cons

  • • Feature Flag Management: Split.io excels in feature flagging, allowing teams to control feature rollouts, perform canary releases, and manage feature toggles efficiently. This reduces the risk associated with deploying new features.
  • • Experimentation and A/B Testing: The platform supports robust experimentation capabilities, including A/B testing and multivariate testing. This allows teams to test new features and measure their impact on user behavior before full-scale deployment.
  • • Integration Capabilities: Split.io integrates with a wide range of tools across CI/CD, monitoring, analytics, and communication platforms, such as Google Analytics, Datadog, Grafana, and Slack. This facilitates a seamless workflow and data integration.
  • • Scalability and Performance: The platform is designed to handle high traffic and large-scale feature management, ensuring reliable performance even in complex environments.
  • • Real-Time Data: Split.io provides real-time data on feature performance and user interactions, which is crucial for making timely, data-driven decisions.
  • • User Interface: The platform offers a user-friendly interface that simplifies the process of managing feature flags and experiments, making it accessible for both technical and non-technical users.
  • • Customer Support: Split.io provides extensive customer support, including documentation, tutorials, and direct assistance, which helps users get the most out of the software.
  • • Pricing: The cost of Split.io can be relatively high, especially for smaller teams or organizations with limited budgets. Pricing details are usually provided upon request, which can be inconvenient for potential users.
  • • Complexity for New Users: While powerful, the extensive features and capabilities of Split.io can be complex for new users to fully grasp, potentially requiring a steep learning curve.
  • • Integration Overload: The broad range of integrations might be overwhelming for some users, particularly if they only need a subset of features or integrations.
  • • Limited Free Tier: The availability of a free tier is limited, which may not be sufficient for small teams or startups looking to test the software before committing to a paid plan.
  • • Customization: While the platform offers robust features, highly specific or niche use cases might require additional customization, which could involve more time and resources.

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