It is an experimentation and feature flagging platform for websites, mobile apps, chatbots, APIs, smart devices, and anything else with a network connection. You can deploy code behind feature flags, experiment with A/B tests, and rollout or rollback features immediately. All of this functionality is available with zero performance impact via easy-to-use SDKs.
7
entreprises
Nous disposons de données sur 7 entreprises qui utilisent Optimizely Full Stack. Notre liste de clients Optimizely Full Stack est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
IKEA | Pays-Bas | Retail | 86K | $47B |
DPG Media | Pays-Bas | Transportation, Logistics, Supply Chain And Storage | 2.3K | |
The Royal Mint | Royaume-Uni | Manufacturing | 652 | $370M |
Navient | États-Unis | Financial Services | 5K | $1.9B |
![]() AllTrails | États-Unis | Technology, Information And Internet | 306 | $22M |
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
Optimizely Full Stack est utilisé dans 3 pays
Il y a 12 alternatives à Optimizely Full Stack
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
Optimizely Full Stack is a powerful technology that falls under the category of Feature Flags Management. It enables businesses to efficiently manage and deploy feature flags, allowing them to control the release of new features in their applications. With Optimizely Full Stack, companies can easily toggle features on or off, perform A/B testing, and gather valuable insights to make data-driven decisions about their product development and user experience. This technology plays a crucial role in helping companies optimize their software development processes and enhance their overall operational efficiency.
Optimizely Full Stack was founded in 2010 by Dan Siroker and Pete Koomen with the vision of revolutionizing the way companies approach experimentation and optimization in their digital products. The duo recognized the need for a comprehensive platform that could empower businesses to experiment with new features and functionalities at scale, leading to the birth of Optimizely Full Stack. Since its inception, the technology has evolved to become a market leader in the realm of feature flag management, catering to the diverse needs of businesses across various industries.
In terms of current market share, Optimizely Full Stack maintains a strong presence within the realm of feature flags management, with a significant portion of companies leveraging its capabilities to streamline their development processes. As businesses continue to prioritize agility and innovation, the demand for feature flag management solutions like Optimizely Full Stack is expected to grow further in the future. With an increasing emphasis on personalized user experiences and iterative product development methodologies, Optimizely Full Stack is poised to expand its market share and become a cornerstone technology for companies looking to stay ahead in today's competitive landscape.
Introduction:
Optimizely Full Stack is a powerful tool utilized by companies seeking to optimize their feature flag management process. This robust technology provides a range of benefits that set it apart from other similar solutions in the market.
Benefits of Optimizely Full Stack:
Improved Experimentation Capabilities: Optimizely Full Stack offers an intuitive interface that allows companies to set up and manage experiments with ease. Unlike traditional feature flag management tools, Optimizely Full Stack provides advanced statistical analysis, enabling users to make data-driven decisions quickly and effectively.
Seamless Integration with Existing Systems: One key advantage of Optimizely Full Stack is its seamless integration capabilities with a wide range of tech stacks. This ensures compatibility with existing systems, reducing the need for extensive customization and saving valuable time and resources compared to other solutions that may require complex integrations.
Real-Time Feature Flag Management: Optimizely Full Stack provides real-time feature flag management, allowing companies to make instant changes and updates without any downtime. This agile approach sets it apart from other technologies that may involve manual processes or delayed deployments, offering a competitive edge in rapidly evolving markets.
Advanced Targeting and Personalization Options: With Optimizely Full Stack, companies can leverage advanced targeting and personalization features to deliver tailored experiences to their users. This level of customization surpasses that of many traditional feature flag management tools, enabling businesses to improve user engagement and drive conversions effectively.
In essence, Optimizely Full Stack stands out as a comprehensive solution for feature flag management, offering enhanced experimentation capabilities, seamless integration, real-time management, and advanced targeting options that set it apart from other technologies in the market.
Optimizely Full Stack is a powerful tool used by various renowned companies for feature flags management. Below are some real-world case studies showcasing how companies are leveraging Optimizely Full Stack to optimize their development and deployment processes:
Uber: Uber, the global ride-sharing giant, utilizes Optimizely Full Stack to implement feature flags effectively in their applications. They started using Optimizely Full Stack in 2017 to manage feature releases and conduct A/B testing seamlessly. This has enabled Uber to roll out new features gradually, test different variations, and gather valuable user feedback before full deployment, resulting in enhanced user experience and product innovation.
Spotify: Spotify, the popular music streaming service, relies on Optimizely Full Stack to control feature releases across its platform. Spotify incorporated Optimizely Full Stack into its development workflow in 2018 to manage feature flags and experiments comprehensively. By using Optimizely, Spotify can selectively enable or disable features, target specific user segments, and run experiments to gather insights for data-driven decision-making, leading to continuous improvements in their service offerings.
Airbnb: Airbnb, the online vacation rental marketplace, has integrated Optimizely Full Stack into its development process to streamline feature flag management. Since adopting Optimizely Full Stack in 2016, Airbnb has improved its ability to deploy features gradually, monitor changes in real-time, and measure the impact of new functionalities on user engagement. This approach has allowed Airbnb to deliver personalized experiences to users, iterate quickly on features, and drive positive business outcomes through data-driven experimentation.
These case studies highlight how industry leaders such as Uber, Spotify, and Airbnb are harnessing the capabilities of Optimizely Full Stack for feature flags management, enabling them to innovate faster, improve user experiences, and make informed decisions based on data-driven insights.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Optimizely Full Stack en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 7 entreprises qui utilisent Optimizely Full Stack.
Optimizely Full Stack est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Retail", "Transportation, Logistics, Supply Chain And Storage", "Manufacturing", "Financial Services", "Technology, Information And Internet". Pour une liste complète de tous les secteurs utilisant Optimizely Full Stack, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Optimizely Full Stack incluent IKEA, DPG Media, The Royal Mint, Navient, AllTrails et bien d'autres encore. Vous pouvez trouver une liste complète des 7 entreprises qui utilisent Optimizely Full Stack sur TheirStack.com.
Selon nos données, Optimizely Full Stack est le plus populaire dans Pays-Bas (2 companies), États-Unis (2 companies), Royaume-Uni (1 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Optimizely Full Stack en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.