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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.
我们掌握了关于使用Optimizely Full Stack的7家公司数据。这个精心策划的名单可以下载,并附带了重要的公司具体信息,包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
公司 | 国家 | 行业 | 雇员 | 收入 |
---|---|---|---|---|
IKEA | 荷兰 | Retail | 86K | $47B |
DPG Media | 荷兰 | Transportation, Logistics, Supply Chain And Storage | 2.3K | |
The Royal Mint | 英国 | Manufacturing | 652 | $370M |
Navient | 美国 | Financial Services | 5K | $1.9B |
![]() AllTrails | 美国 | Technology, Information And Internet | 306 | $22M |
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技术使用统计数据和市场份额
您可以通过筛选地理位置、行业、公司规模、收入、技术使用情况、职位等来根据您的需求定制这些数据。您可以以Excel或CSV格式下载数据。
您可以获得有关此数据的提醒。您可以通过选择您感兴趣的技术来开始,然后当有新公司使用该技术时,您将会在您的收件箱中收到提醒。
您可以将这些数据导出到一个Excel文件,然后导入到您的CRM中。您也可以将这些数据导出到API。
有 12 个 Optimizely Full Stack 替代品
常见问题
我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术,包括他们使用的内部工具。
我们每天更新数据,以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。
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.
您可以访问 TheirStack.com,获取使用 Optimizely Full Stack 的公司更新名单。我们的平台提供了一个全面的数据库,涵盖了使用各种技术和内部工具的公司。
截至目前,我们拥有关于 7 家使用 Optimizely Full Stack 的公司的数据。
Optimizely Full Stack 被广泛应用于包括 "Retail", "Transportation, Logistics, Supply Chain And Storage", "Manufacturing", "Financial Services", "Technology, Information And Internet" 在内的各个行业的各种组织中。欲了解所有使用 Optimizely Full Stack 的行业的完整列表,请访问 TheirStack.com。
一些使用Optimizely Full Stack的公司包括IKEA, DPG Media, The Royal Mint, Navient, AllTrails以及更多公司。您可以在TheirStack.com上找到使用Optimizely Full Stack的7家公司完整列表。
根据我们的数据,Optimizely Full Stack 在 荷兰 (2 companies), 美国 (2 companies), 英国 (1 companies) 最受欢迎。然而,它被全世界的公司所使用。
您可以在TheirStack.com上搜索Optimizely Full Stack,来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息,并借此发现他们正在使用的技术和内部工具。
Optimizely Full Stack 被用于 3 个国家