Question 1

这些数据的来源是什么?

Accepted Answer

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。

Question 2

数据多久更新一次?

Accepted Answer

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。

Question 3

什么是Presto?

Accepted Answer

Presto is an opensource distributed SQL query engine designed for interactive analytic queries on largescale data sources It allows users to query data where it resides without the need to move it into a separate system for analysis Presto is known for its high performance supporting a wide range of data sources such as Hadoop AWS S3 MySQL Cassandra and more Its ability to handle petabytes of data efficiently makes it a popular choice among organizations dealing with big data analytics

In the realm of Big Data Tools Presto falls under the category of query engines This category encompasses technologies that enable users to run SQLlike queries on vast amounts of data for analysis and decisionmaking purposes Presto specifically focuses on providing fast query execution enabling users to interactively query multiple data sources at lightning speed With its versatility and scalability Presto is widely adopted in industries where realtime data processing and analytics are essential

Founded in 2012 by engineers at Facebook Presto was initially developed to improve the performance of interactive queries on large datasets within the companys data infrastructure Motivated by the need for a faster and more efficient query engine the creators of Presto aimed to build a tool that could handle Facebooks immense data volumes and complex query requirements Since then Presto has evolved into a mature and widelyused technology in the realm of distributed SQL query engines

In terms of current market share Presto has been steadily gaining traction in the industry due to its performance and flexibility As more organizations recognize the importance of fast and efficient data querying for business insights Presto is expected to continue its growth trajectory With the increasing demand for realtime analytics and the expanding big data market Presto is forecasted to maintain and potentially expand its market share within the Big Data Tools category in the foreseeable future

Question 4

如何获得使用Presto的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Presto 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。

Question 5

Presto 有多少客户？

Accepted Answer

截至目前，我们拥有关于 10,991 家使用 Presto 的公司的数据。

Question 6

谁在使用Presto?

Accepted Answer

Presto 被广泛应用于包括 "Security and Investigations", "Hospitals and Health Care", "Retail", "Retail", "Software Development", "Entertainment Providers", "Internet Marketplace Platforms", "Urban Transit Services", "Software Development", "Construction" 在内的各个行业的各种组织中。欲了解所有使用 Presto 的行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Presto?

Accepted Answer

一些使用Presto的公司包括Gruppo SOPRANCIODUE, Albury Wodonga Health, Jack & Jones, Galeries Lafayette, Agoda, TikTok, Uber, Metrolinx, Rippling, Elecnor Group以及更多公司。您可以在TheirStack.com上找到使用Presto的10,991家公司完整列表。

Question 8

哪些国家使用Presto最多？

Accepted Answer

根据我们的数据，Presto 在 西班牙 (2,010 companies), 美国 (1,807 companies), 英国 (249 companies), 意大利 (213 companies), 印度 (141 companies), 加拿大 (129 companies), 法国 (114 companies), 德国 (89 companies), 瑞士 (57 companies), 新加坡 (57 companies) 最受欢迎。然而，它被全世界的公司所使用。

Question 9

如何找到使用Presto的公司？

Accepted Answer

您可以在TheirStack.com上搜索Presto，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。

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使用 Presto 的公司