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It is an efficient binary serialization format. It lets you exchange data among multiple languages like JSON. But it's faster and smaller. Small integers are encoded into a single byte, and typical short strings require only one extra byte in addition to the strings themselves.
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。
MessagePack 被用于 7 个国家
我们掌握了关于使用MessagePack的28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。
Technology
is any of
MessagePack
公司 | 国家 | 行业 | 雇员 | 收入 | 技术 |
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美国 | It Services And It Consulting | 9 |
| MessagePack | |
| MessagePack | ||||
美国 | Financial Services | 1.7K |
| MessagePack | |
| MessagePack | ||||
| MessagePack | ||||
美国 | Packaging And Containers Manufacturing | 13K | $5.5B | MessagePack | |
美国 | Software Development | 1K | $80M | MessagePack | |
美国 | Technology, Information And Media | 217 | $20M | MessagePack | |
| MessagePack | ||||
英国 | Media Production | 12 | $3.8M | MessagePack |
有 147 个 MessagePack 替代品
66k
34.3k
15.4k
12.2k
8.3k
6k
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3.5k
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2k
1.9k
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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。
MessagePack is a fast and efficient binary serialization format that aims to be more compact and faster than JSON. It is designed to enable data exchange between applications written in different languages by providing a language-agnostic format. MessagePack is a popular choice for transmitting data over the network, storing data in databases, and serializing complex data structures due to its compact size and performance benefits.
MessagePack falls under the category of data serialization formats, which are used to convert complex data structures or objects into a format that can be easily stored, transmitted, and reconstructed. In the case of MessagePack, it offers a balance between readability and efficiency, making it suitable for scenarios where speed and size are crucial factors.
MessagePack was founded in 2008 by Makoto Inoue with the goal of creating a binary serialization format that could outperform JSON in terms of size and speed. The motivation behind the development of MessagePack was to address the limitations of JSON in terms of performance and efficiency, especially in scenarios where large amounts of data needed to be serialized and transmitted quickly.
In the current market scenario, MessagePack continues to be a popular choice among developers and organizations looking for a lightweight and fast serialization format. While specific market share data may vary, MessagePack is widely adopted in various tech stacks and programming languages. With the increasing demand for efficient data exchange formats in modern applications, it is expected that MessagePack will continue to grow in popularity and usage in the future.
您可以访问 TheirStack.com,获取使用 MessagePack 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 28 家使用 MessagePack 的公司的数据。
MessagePack 被广泛应用于包括 "It Services And It Consulting", "Financial Services", "Packaging And Containers Manufacturing", "Software Development", "Technology, Information And Media", "Media Production" 在内的各个行业的各种组织中。欲了解所有使用 MessagePack 的行业的完整列表,请访问 TheirStack.com。
一些使用MessagePack的公司包括ZONOVA, Arm Treasure Data, Cboe Global Markets, Consolidated Resource Imaging, Fine Home Real Estate LLC, Sealed Air Corporation, Treasure Data, Magnopus, ARM Treasure Data, REWIND以及更多公司。您可以在TheirStack.com上找到使用MessagePack的28家公司完整列表。
根据我们的数据,MessagePack 在 美国 (12 companies), 法国 (3 companies), 英国 (2 companies), 巴西 (1 companies), 日本 (1 companies), 波兰 (1 companies), 葡萄牙 (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MessagePack,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。