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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.
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。
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Optimizely Full Stack 被用于 4 个国家
Technology
is any of
Optimizely Full Stack
公司 | 国家 | 行业 | 雇员 | 收入 | 技术 |
---|---|---|---|---|---|
| Optimizely Full Stack | ||||
Food And Beverage Manufacturing | 5K |
| Optimizely Full Stack | ||
英国 | Manufacturing | 625 | $370M | Optimizely Full Stack | |
荷兰 | Retail | 87K | $47B | Optimizely Full Stack | |
西班牙 | Internet Marketplace Platforms | 5.4K | $932M | Optimizely Full Stack | |
荷兰 | Transportation, Logistics, Supply Chain And Storage | 2.3K |
| Optimizely Full Stack | |
美国 | Technology, Information And Internet | 328 | $22M | Optimizely Full Stack | |
美国 | Financial Services | 5K | $1.9B | Optimizely Full Stack |
我们掌握了关于使用Optimizely Full Stack的8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。
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.
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 8 家使用 Optimizely Full Stack 的公司的数据。
Optimizely Full Stack 被广泛应用于包括 "Food And Beverage Manufacturing", "Manufacturing", "Retail", "Internet Marketplace Platforms", "Transportation, Logistics, Supply Chain And Storage", "Technology, Information And Internet", "Financial Services" 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Artistry Solutions, Sazerac, The Royal Mint, IKEA, Adevinta, DPG Media, AllTrails, Navient以及更多公司。您可以在TheirStack.com上找到使用Optimizely Full Stack的8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), 西班牙 (1 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。