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It is a row-oriented remote procedure call and data serialization framework developed within Apache's Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format.
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。
Avro 被用于 54 个国家
我们掌握了关于使用Avro的2,697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。
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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。
Avro is a data serialization system developed within the Apache Hadoop project. It provides a compact, fast, and efficient binary data serialization format to enable data exchange between applications written in different languages. Avro is known for its schema-based approach, where data schemas are defined in the Avro IDL (Interface Description Language) for data serialization and deserialization. This makes Avro a popular choice for big data processing tasks, as it helps in optimizing data storage and transmission between systems.
Serialization Frameworks, the category to which Avro belongs, focuses on the process of converting complex data structures or objects into a format that can be easily stored or transmitted. This category includes various technologies like Protocol Buffers, Thrift, and of course, Avro. Serialization frameworks play a crucial role in distributed systems where data needs to be efficiently passed between different components or services, ensuring compatibility and performance.
Founded by Doug Cutting in 2009, Avro was created with the goal of providing a compact and efficient data serialization framework for the Apache Hadoop ecosystem. Doug Cutting, a well-known figure in the open-source community for his contributions to projects like Apache Lucene and Apache Hadoop, aimed to address the challenges of handling large volumes of data in a distributed environment. Avro's inception marked a significant milestone in improving data interchange and processing within the Hadoop ecosystem.
Currently, Avro holds a substantial market share within the Serialization Frameworks category, particularly in big data and analytics applications. Given its strong integration with Apache Hadoop and other big data technologies, Avro is expected to continue growing in relevance as organizations increasingly rely on data-driven insights. The forecast indicates that Avro's market share is likely to expand further as the demand for efficient data serialization solutions continues to rise in the industry.
您可以访问 TheirStack.com，获取使用 Avro 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 2,697 家使用 Avro 的公司的数据。
Avro 被广泛应用于包括 "Financial Services", "Software Development", "Financial Services", "Consumer Services", "Banking", "It Services And It Consulting", "It Services And It Consulting", "Banking" 在内的各个行业的各种组织中。欲了解所有使用 Avro 的行业的完整列表，请访问 TheirStack.com。
一些使用Avro的公司包括ritepros, JPMorgan Chase Bank, N.A., Dice, Citi, toptata, Scotiabank, IBM, Groupe Talents Handicap, Virtusa, JPMorgan Chase & Co以及更多公司。您可以在TheirStack.com上找到使用Avro的2,697家公司完整列表。
根据我们的数据，Avro 在 美国 (1,024 companies), 英国 (120 companies), 印度 (97 companies), 法国 (76 companies), 加拿大 (63 companies), 西班牙 (62 companies), 德国 (36 companies), 澳大利亚 (32 companies), 荷兰 (26 companies), 新加坡 (21 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Avro，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。
