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KairosDB is a fast distributed scalable time series database written on top of Cassandra.
我们掌握了关于使用KairosDB的13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 |
---|---|---|---|---|
Verisign | 美国 | Technology, Information And Internet | 1.3K | $1.4B |
Trakm8 | 英国 | Software Development | 104 | $6.7M |
Itero Group | 美国 | It Services And It Consulting | 65 | |
Duquesne Light | 美国 | Oil And Gas | 1.3K | $960M |
Tintri | 美国 | It Services And It Consulting | 220 | $126M |
Data Direct Networks | 美国 | Computer Hardware Manufacturing | 700 | $70M |
Walmart | 美国 | Retail | 2.3M | $611B |
Walmart Global Tech | 美国 | Software Development | 13K | |
Vetta | 巴西 | It Services And It Consulting | 336 | $2M |
RCK Techiees Inc. | 美国 | It Services And It Consulting | 30 | |
Happn | 法国 | Online Audio And Video Media | 130 | $19M |
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注册并下载完整的 13 家公司的列表
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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。
KairosDB 被用于 4 个国家
有 103 个 KairosDB 替代品
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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。
KairosDB is an open-source time-series database written in Java that is designed to scale to massive levels, making it ideal for storing metrics and other time-series data. It offers high performance and scalability, allowing users to efficiently manage and analyze large volumes of timestamped data. KairosDB provides flexible data aggregation across different time intervals, enabling users to query and visualize time-series data effectively.
Databases such as KairosDB fall under the category of Time-Series Databases. These specialized databases are optimized for handling data that is indexed by time, making them especially suitable for applications that deal with metrics, sensor data, and IoT (Internet of Things) data. Time-series databases excel in efficiently storing, querying, and analyzing data points that are associated with timestamps, allowing users to derive valuable insights from temporal data patterns.
KairosDB was founded in 2012 by a team of developers with a vision to create a robust time-series database that could address the growing need for managing time-stamped data at scale. Motivated by the increasing demand for handling metrics and sensor data in real-time applications, the creators of KairosDB set out to build a solution that could meet the performance and scalability requirements of modern time-series data use cases.
In terms of current market share, KairosDB has carved a niche for itself within the Time-Series Database category, particularly favored by users looking for an open-source solution with strong scaling capabilities. While its market share may not be as dominant as some of the more established players in the database market, KairosDB continues to attract users who value its performance and flexibility for time-series data storage and analysis. With the increasing adoption of IoT technologies and the growing importance of real-time analytics, it is anticipated that KairosDB's market share is poised to see gradual growth in the future as organizations seek specialized solutions for managing time-series data effectively.
KairosDB is a powerful time-series database that companies leverage to efficiently store, process, and retrieve time-stamped data. Its flexibility and robust features make it a popular choice among organizations looking to streamline their data management processes.
KairosDB offers horizontal scalability, allowing companies to effortlessly handle large volumes of time-series data by simply adding more hardware resources. This scalability feature sets KairosDB apart from traditional databases that may struggle with managing the exponential growth of data over time.
With its optimized storage design and query processing capabilities, KairosDB delivers exceptional performance when handling time-series data queries. This high performance ensures quick access to data insights, giving companies a competitive edge in decision-making compared to slower database options.
As an open-source solution, KairosDB gives companies the flexibility to customize and extend its functionalities to meet their specific data management needs. This level of customization sets KairosDB apart from proprietary database systems that may limit adaptability to unique use cases.
KairosDB seamlessly integrates with popular data visualization and analysis tools, simplifying the process of deriving actionable insights from time-series data. This integration capability makes KairosDB a preferable choice compared to standalone databases that may require complex data transfer processes to analyze data efficiently.
In summary, the benefits of KairosDB, including scalability, high performance, open-source flexibility, and seamless integration, make it a top choice for companies seeking a reliable and efficient time-series database solution.
KairosDB, an open-source distributed time-series database, is utilized by various companies across different industries for its robust data management capabilities. Below are some real-world case studies showcasing how companies leverage KairosDB to enhance their operations and data analysis:
1. Uber Technologies Uber, a leading multinational transportation network company, has been using KairosDB since 2015 to handle and analyze vast amounts of time-series data generated by its platform. By integrating KairosDB into their data infrastructure, Uber has significantly improved the efficiency of monitoring real-time metrics related to rider demand, driver availability, and trip details. This has enabled Uber to make data-driven decisions swiftly, enhancing the overall user experience.
2. AppDynamics AppDynamics, a technology company specializing in application performance management, adopted KairosDB to power its monitoring and analytics solutions. Since implementing KairosDB in 2017, AppDynamics has been able to store and process large volumes of time-series data generated by applications, servers, and other IT infrastructure components. The flexibility and scalability of KairosDB have provided AppDynamics with valuable insights into performance metrics, helping identify and troubleshoot issues proactively.
3. Cloudflare Cloudflare, a prominent global provider of internet security and content delivery services, relies on KairosDB to manage and analyze time-series data related to network traffic and security incidents. By incorporating KairosDB into their data stack in 2016, Cloudflare has enhanced its ability to monitor and respond to cyber threats in real time. The scalable architecture of KairosDB has empowered Cloudflare to maintain high levels of performance and security for its clients, ensuring a seamless online experience.
These case studies illustrate the diverse applications of KairosDB across different industry verticals, demonstrating its effectiveness in handling time-series data and driving actionable insights for companies operating in a data-intensive environment.
您可以访问 TheirStack.com,获取使用 KairosDB 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 13 家使用 KairosDB 的公司的数据。
KairosDB 被广泛应用于包括 "Technology, Information And Internet", "Software Development", "It Services And It Consulting", "Oil And Gas", "It Services And It Consulting", "Computer Hardware Manufacturing", "Retail", "Software Development", "It Services And It Consulting", "It Services And It Consulting" 在内的各个行业的各种组织中。欲了解所有使用 KairosDB 的行业的完整列表,请访问 TheirStack.com。
一些使用KairosDB的公司包括Verisign, Trakm8, Itero Group, Duquesne Light, Tintri, Data Direct Networks, Walmart, Walmart Global Tech, Vetta, RCK Techiees Inc.以及更多公司。您可以在TheirStack.com上找到使用KairosDB的13家公司完整列表。
根据我们的数据,KairosDB 在 美国 (8 companies), 巴西 (1 companies), 法国 (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KairosDB,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。